Miracle-dz/UniFAR-FTUs huggingface dataset:
Voriconazole Pharmacokinetics and Therapeutic Drug Monitoring : A Multi-Center Study 1 2

Voriconazole Pharmacokinetics and Therapeutic Drug Monitoring: A Multi-Center Study 1 2 Michael J Dolton, John E Ray, Sharon C-A Chen, Kingsley Ng, Lisa G Pont, Andrew J 3 McLachlan 4 5 1 Faculty of Pharmacy, University of Sydney, Camperdown, Australia 6 2 Clinical Pharmacology & Toxicology, SydPath, St Vincent’s Hospital, Darlinghurst, 7 Australia 8 3 Centre for Infectious Diseases & Microbiology and the University of Sydney, Westmead 9 Hospital, Westmead, Australia 10 4 Department of Pharmacy, Westmead Hospital, Westmead, Australia 11 5 Centre For Education and Research on Ageing, Concord Repatriation General Hospital, 12 Concord, Australia 13 14 *Corresponding Author: 15 Professor Andrew McLachlan 16 Faculty of Pharmacy 17 University of Sydney NSW 2006 18 Australia 19 Tel: +61 2 9767 7373 20 Fax: +61 2 9351 6950 21 Email: andrew.mclachlan@sydney.edu. au 22 23 Copyright © 2012, American Society for Microbiology. All Rights Reserved. Antimicrob. Agents Chemother. doi:10.1128/AAC.00626-12 AAC Accepts, published online ahead of print on 2 July 2012
Ansätze zur Beschreibung der Ästhetik von Interaktion

Neue Technologien eroffnen neue Moglichkeiten in der Interaktionsgestaltung. Die wachsende Zahl theoretisch moglicher Losungen stellt Gestalter aber auch vor eine neue Verantwortung. Neben der selbstverstandlichen Frage der visuellen Asthetik eines Produkts stellt sich nun auch die Frage nach der Asthetik von Interaktion. Der vorliegende Beitrag diskutiert bestehende Ansatze und ihr jeweiliges Potential fur die Analyse und Gestaltung von Interaktion aus dem Blickwinkel des Experience Design.
Beyond Rationality: The Search for Wisdom in a Troubled Time

PART I: THE NEW SEARCH FOR WISDOM 1. The Central Role of Human Judgment 2. Combating Uncertainty PART II: STRATEGIES OF HUMAN JUDGMENT 3. The Strategy of Seeking Correspondence Competence 4. The (Mis)Judgments of Colin Powell 5. The Coherence Strategy: Trying to Be Rational 7. How the Drive for Coherence Brings down Utopias PART III: TACTICS OF HUMAN JUDGMENT 8. Continua 9. The Cognitive Continuum at the Supreme Court 10. Intuition: Seeking Empirical Accuracy the Easy Way 11. Analysis: Seeking Empirical Accuracy the Hard Way 12. Intuition: Seeking Rationality the Easy Way 13. Analysis: Seeking Rationality the Hard Way 14. Robert Rubin: Embedded in an Uncertain World PART IV: THEMES GUIDING RESEARCH 15. Current Themes 16. The Author's Theme PART V: LOOKING BACKWARD 17. Trying to Learn from History with Bernard Lewis and Jared Diamond 18. Toward Better Practices 19. Ineptitude and the Tools of War 20. The New Search for Wisdom
Preseason Functional Test Scores Are Associated With Future Sports Injury in Female Collegiate Athletes

Abstract Brumitt, J, Heiderscheit, B, Manske, R, Niemuth, PE, Mattocks, A, and Rauh, MJ. Preseason functional test scores are associated with future sports injury in female collegiate athletes. J Strength Cond Res 32(6): 1692–1701, 2018—Recent prospective cohort studies have reported preseason functional performance test (FPT) measures and associations with future risk of injury; however, the findings associated with these studies have been equivocal. The purpose of this study was to determine the ability of a battery of FPTs as a preseason screening tool to identify female Division III (D III) collegiate athletes who may be at risk for a noncontact time-loss injury to the lower quadrant (LQ = low back and lower extremities). One hundred six female D III athletes were recruited for this study. Athletes performed 3 FPTs: standing long jump (SLJ), single-leg hop (SLH) for distance, and the lower extremity functional test (LEFT). Time-loss sport-related injuries were tracked during the season. Thirty-two (24 initial and 8 subsequent) time-loss LQ injuries were sustained during the study. Ten of the 24 initial injuries occurred at the thigh and knee. At-risk athletes with suboptimal FPT measures (SLJ ⩽79% ht; (B) SLH ⩽64% ht; LEFT ≥118 seconds) had significantly greater rates of initial (7.2 per 1,000 athletic exposures [AEs]) and total (7.6 per 1,000 AEs) time-loss thigh or knee injuries than the referent group (0.9 per 1,000 AEs; 1.0 per 1,000 AEs, respectively). At-risk athletes were 9 times more likely to experience a thigh or knee injury (odds ratio [OR] = 9.7, confidence interval [CI]: 2.3–39.9; p = 0.002) than athletes in the referent group. At-risk athletes with a history of LQ sports injury and lower off-season training habits had an 18-fold increased risk of a time-loss thigh or knee injury during the season (adjusted OR = 18.7, CI: 3.0–118.1; p = 0.002). This battery of FPTs appears useful as a tool for identifying female D III athletes at risk of an LQ injury, especially to the thigh or knee region.
STATISTICAL DATA ANALYSIS OF CONTINUOUS STREAMS USING STREAM DSMS

Several applications involve a transient stream of data which has to be modeled and analyzed continuously. Their continuous arrival in multiple, rapid, time-varying and possibly unpredictable and unbounded way make the analysis difficult and opens fundamentally new research problems. Examples of such data intensive applications include stock market, road traffic analysis, whether forecasting systems etc. In this study, we have used a Data Stream Management System tool- Stanford STREAM to model and analyze data from two different application domains- Road Traffic analysis and Habitat Monitoring analysis. Based on the results we discuss advantages and disadvantages of STREAM.
Grouped graphical Granger modeling for gene expression regulatory networks discovery

We consider the problem of discovering gene regulatory networks from time-series microarray data. Recently, graphical Granger modeling has gained considerable attention as a promising direction for addressing this problem. These methods apply graphical modeling methods on time-series data and invoke the notion of ‘Granger causality’ to make assertions on causality through inference on time-lagged effects. Existing algorithms, however, have neglected an important aspect of the problem—the group structure among the lagged temporal variables naturally imposed by the time series they belong to. Specifically, existing methods in computational biology share this shortcoming, as well as additional computational limitations, prohibiting their effective applications to the large datasets including a large number of genes and many data points. In the present article, we propose a novel methodology which we term ‘grouped graphical Granger modeling method’, which overcomes the limitations mentioned above by applying a regression method suited for high-dimensional and large data, and by leveraging the group structure among the lagged temporal variables according to the time series they belong to. We demonstrate the effectiveness of the proposed methodology on both simulated and actual gene expression data, specifically the human cancer cell (HeLa S3) cycle data. The simulation results show that the proposed methodology generally exhibits higher accuracy in recovering the underlying causal structure. Those on the gene expression data demonstrate that it leads to improved accuracy with respect to prediction of known links, and also uncovers additional causal relationships uncaptured by earlier works. Contact: aclozano@us.ibm. com
Removal of Ocular Artifacts from EEG Signals Using Adaptive Threshold PCA and Wavelet Transforms

It becomes more difficult to identify and analyze the Electroencephalogram (EEG) signals when it is corrupted by eye movements and eye blinks. This paper gives the different methods how to remove the artifacts in EEG signals. In this paper we proposed wavelet based threshold method and Principal Component Analysis (PCA) based adaptive threshold method to remove the ocular artifacts. Compared to the wavelet threshold method PCA based adaptive threshold method will gives the better PSNR value and it will decreases the elapsed time.
Motion planning for computer animation and virtual reality applications

This paper presents a new motion planning method for an arbitrary solid with six degrees of freedom moving in a 3D environment. The essence of the method is to efficiently capture local moving information of the solid in order to speed up the heuristic search in the configuration space. For this purpose, the moving freedoms of a solid at any configuration are directly calculated by introducing the characteristic volume and characteristic obstacles of the solid. Based on the local information about the moving freedoms, a heuristic search similar to the A* is performed in the configuration space to find a collision-free path between the initial and final configurations. A 3D motion planning example shows that the method is capable of dealing with complex moving solids and environments. To increase the search efficiency in configuration space, some extensions of the methods for incorporating with global methods are discussed. Applications of the method in computer animation and virtual reality are indicated. <<ETX>>
The Basic Forms of Learning and Thinking

prof. MUDr. J. Faber, DrSc. Prague, 2014 Any medical treatment should be combined with psychotherapy. Frequently, we provide it rather unwittingly through our “good advice”. But it should be more systematic and targeted. During the session, electroencephalographic biofeedback (EEG BF), or the use of feedback and EEG for anxiety, attention deficit disorder, hyperactivity or epilepsy treatment, should be also accompanied by verbal contact of therapist and patient.
Testing contractibility in planar rips complexes

The (Vietoris-)Rips complex of a discrete point-set <i>P</i> is an abstract simplicial complex in which a subset of <i>P</i> defines a simplex if and only if the diameter of that subset is at most 1. We describe an efficient algorithm to determine whether a given cycle in a planar Rips complex is contractible. Our algorithm requires <i>O</i>(<i>m</i> log <i>n</i>) time to preprocess a set of <i>n</i> points in the plane in which <i>m</i> pairs have distance at most 1; after preprocessing, deciding whether a cycle of <i>k</i> Rips edges is contractible requires <i>O</i>(<i>k</i>) time. We also describe an algorithm to compute the shortest non-contractible cycle in a planar Rips complex in <i>O</i>(<i>n</i><sup>2</sup>log <i>n</i> + <i>mn</i>) time.
Training Visual Control in Wheelchair Basketball Shooting

We examined the effects of visual control training on expert wheelchair basketball shooting, a skill more difficult than in regular basketball, as players shoot from a seated position to the same rim height. The training consisted of shooting with a visual constraint that forced participants to use target information as late as possible. Participants drove under a large screen that initially blocked the basket. As soon as they saw the basket they shot. When training with the screen, shooting percentages increased. We conclude that visual control training is an effective method to improve wheelchair basketball shooting. The findings support the idea that perceptualmotor learning can be enhanced by manipulating relevant constraints in the training environment, even for expert athletes.
Planar fully depleted SOI technology: The convergence of high performance and low power towards multimedia mobile applications

Planar fully-depleted SOI technology is becoming mainstream within STMicroelectronics, targeting modern mobile and consumer multimedia markets. This technology combines high performance and low power consumption, complemented by an excellent responsiveness to power management design techniques. The fabrication process is comparatively simple and is a low-risk evolutionary step from conventional planar bulk CMOS. At 28nm, we find that planar FD more than matches the peak performance of “G”-type bulk technology, at the cost and complexity of a low-power type technology, with better power efficiency across use cases than any of the conventional bulk CMOS flavors. FD implementation of a representative design offers 1.6×-7× speedup compared to bulk across a range of supply voltages.
Iterative Image Warping

Animated image sequences often exhibit a large amount of inter‐frame coherence which standard rendering algorithms and pipelines are ill‐equipped to exploit, limiting their efficiency. To address this inefficiency we transfer rendering results across frames using a novel image warping algorithm based on fixed point iteration. We analyze the behavior of the iteration and describe two alternative algorithms designed to suit different performance requirements. Further, to demonstrate the versatility of our approach we apply it to a number of spatio‐temporal rendering problems including 30‐to‐60Hz frame upsampling, stereoscopic 3D conversion, defocus and motion blur. Finally we compare our approach against existing image warping methods and demonstrate a significant performance improvement.
On the Perils of Curve-of-Growth Analysis: Systematic Abundance Underestimates for the Gas in Gamma-Ray Burst Host Galaxies

We examine the practice of deriving interstellar medium (ISM) abundances from low-resolution spectroscopy of gamma-ray burst (GRB) afterglows. We argue that the multi-ion single-component curve-of-growth analysis technique systematically underestimates the column densities of the metal-line profiles commonly observed for GRBs. This systematic underestimate is accentuated by the fact that many GRB line profiles (e.g., GRB 050730, GRB 050820, GRB 051111) are comprised of "clouds" with a bimodal distribution of column density. Such line profiles may be characteristic of a sight line that penetrates both a high-density star-forming region and more distant, ambient ISM material. Our analysis suggests that the majority of abundances reported in the literature are systematically underestimates and that the reported errors are frequently overoptimistic. Further, we demonstrate that one cannot even report relative abundances with confidence. The implications are profound for our current understanding of the metallicity, dust-to-gas ratio, and chemical abundances of the ISM in GRB host galaxies. For example, we argue that all but a few sight lines allow for the gas to have at least solar metallicity. Finally, we suggest new approaches for constraining the abundances.
A Novel Transmitter-Based Selective-Precoding Technique for DS/CDMA Systems

In this paper a new transmitter preceding technique is presented that outperforms conventional preceding by making use of a portion of the interference between the users in a CDMA system downlink. The proposed technique selectively pre-decorrelates users that are experiencing destructive interference while allowing interference to other users when it is expected to contribute to their signal. The existence and exploitation of constructive interference effectively spreads the signal constellation and enhances the SNR at the receiver. The SNR improvement happens by making use of energy that is already in the system so the performance improvement is attained with no additional power-per-user investment. This however comes with the trade-off of some extra processing at the transmitter for the measurement of the expected interference. The proposed technique applies to the downlink of cellular CDMA systems employing PSK modulation. Theoretical analysis supported by comparative simulations of this and other preceding methods are presented and discussed.
Effect of a School-Based Intervention on Nutritional Knowledge and Habits of Low-Socioeconomic School Children in Israel: A Cluster-Randomized Controlled Trial

Early social and economic deprivation, associated with poor nutrition and physical inactivity, may lead to adverse health trajectories. A cluster-randomized controlled-trial examining the effect of a school-based comprehensive intervention on nutrition knowledge, eating habits, and behaviors among low socioeconomic status (LSES) school-aged children was performed. LSES school-aged children (4–7 years) and their mothers were recruited from 11 schools, located in one town. The intervention was implemented on three levels: children, mothers, and teachers. The intervention (IArm) included nutrition classes for children, mothers, and teachers and physical activity (PA) classes for children; the control (CArm) received PA only. Interventions were conducted by professional personnel, who were trained during in a two-day session to deliver the specific program in schools. Family data were obtained by parental interviews. Food knowledge observations, packed lunch records, and anthropometric measurements were obtained in school at baseline, six months, and at the end of the school year. Of 258 children enrolled, 220 (87.6%) completed the six-month program. Only children in the IArm improved their nutrition knowledge and eating-habits and increased food variety and fruit and vegetable consumption, quality score of packed lunches (p < 0.001 for all), habitual water drinking increased (p = 0.02), and decreased sweet-drink consumption (p = 0.05). A school-based comprehensive nutrition intervention targeting LSES population improved eating habits, nutritional knowledge, and healthier packed lunches.
Heterogeneity of Prognostic Studies of 24-Hour Blood Pressure Variability: Systematic Review and Meta-Analysis

In addition to mean blood pressure, blood pressure variability is hypothesized to have important prognostic value in evaluating cardiovascular risk. We aimed to assess the prognostic value of blood pressure variability within 24 hours. Using MEDLINE, EMBASE and Cochrane Library to April 2013, we conducted a systematic review of prospective studies of adults, with at least one year follow-up and any day, night or 24-hour blood pressure variability measure as a predictor of one or more of the following outcomes: all-cause mortality, cardiovascular mortality, all cardiovascular events, stroke and coronary heart disease. We examined how blood pressure variability is defined and how its prognostic use is reported. We analysed relative risks adjusted for covariates including the appropriate mean blood pressure and considered the potential for meta-analysis. Our analysis of methods included 24 studies and analysis of predictions included 16 studies. There were 36 different measures of blood pressure variability and 13 definitions of night- and day-time periods. Median follow-up was 5.5 years (interquartile range 4.2–7.0). Comparing measures of dispersion, coefficient of variation was less well researched than standard deviation. Night dipping based on percentage change was the most researched measure and the only measure for which data could be meaningfully pooled. Night dipping or lower night-time blood pressure was associated with lower risk of cardiovascular events. The interpretation and use in clinical practice of 24-hour blood pressure variability, as an important prognostic indicator of cardiovascular events, is hampered by insufficient evidence and divergent methodologies. We recommend greater standardisation of methods.
Speech Emotion Recognition Research Based on the Stacked Generalization Ensemble Neural Network for Robot Pet

In this paper, we present an emotion recognition system using the stacked generalization ensemble neural network for special human affective state in the speech signal. 450 short emotional sentences with different contents from 3 speakers were collected as experiment materials. The features relevant with energy, speech rate, pitch and formant are extracted from speech signals. Stacked Generalization Ensemble Neural Networks are used as the classifier for 5 emotions including anger, calmness, happiness, sadness and boredom. First, compared with the traditional BP network or wavelet neural network, the results of experiments show that the Stacked Generalization Ensemble Neural Network has faster convergence speed and higher recognition rate. Second, after discussing the advantage and disadvantage between different ensemble Neural Networks, suitable decision will be made for Robot Pet.
Evaluating the “Leeds criteria” for Pseudomonas aeruginosa infection in a cystic fibrosis centre

Four separate categories of chronic Pseudomonas aeruginosa (Pa) infection in children with cystic fibrosis (CF) have been previously defined, based on airway cultures taken over the previous year. The aim of the present study was to evaluate this definition in the current authors' paediatric and adult CF clinic using clinical, immunological and lung function parameters. During follow-up, out of 193 patients, 55 (34%) CF patients had never been infected with Pa, 27 (17%) were free of Pa, 29 (18%) were intermittently infected and 51 (31%) were chronically infected. Disease severity markers, such as lung function, were significantly worse in the chronic group, especially in the paediatric population. Differences in adult patients were smaller and no longer significant. Pa antibodies differed strongly between the groups, and were very high (mean±sd 55.4±5.5) and highly statistically significant from all other groups in the chronic group. They were low and different from all other groups in the never group (1.8±0.6). Pa antibodies did not differ between the free of Pa and the intermittent group. In conclusion, the current authors confirmed an agreement between Pseudomonas aeruginosa status according to the new definition and clinical status, as well as with the level of Pseudomonas aeruginosa antibodies.
An implementation for dynamic combination of frequent items in HCFPMINETREE

Modern digital databases are immersed with massive collection of data. The proliferation, ubiquity and increasing power of computer technology have increased data collection and storage. As datasets have grown in size and complexity, direct hands-on data analysis has increasingly been augmented in-direct, automatic data processing. There are so many existing algorithms to find frequent itemsets in Association Rule Mining. In this paper, we have modified FPtree algorithm as HCFPMine frequency of tree (Horizontal Compact Frequent Pattern Mining) combines all the maximum occurrence of frequent itemsets before converting into the tree structure. We have also used median value for finding same frequency of items and inserted it as node in the tree structure. We have explained it with an algorithm and illustrated with examples and also depicted the runtime and memory space for the construction of the tree structure.