Miracle-dz/UniFAR-FTUs huggingface dataset:
Randomized, controlled, double-blind multicenter comparison of the efficacy and tolerability of ziprasidone and olanzapine in acutely ill inpatients with schizophrenia or schizoaffective disorder.

OBJECTIVE Limited randomized, controlled trial data exist on possible differences between atypical antipsychotics in efficacy, overall tolerability, and important indices of health status. The authors compared the efficacy and tolerability of ziprasidone and olanzapine in the treatment of acutely ill inpatients with schizophrenia or schizoaffective disorder. METHOD In this 6-week, multicenter, double-blind, parallel-design, flexible-dose trial, patients were randomly assigned to receive ziprasidone (N=136) or olanzapine (N=133). Primary efficacy measures were improvement in Brief Psychiatric Rating Scale and Clinical Global Impression (CGI) severity scale scores; secondary measures were scores on the CGI improvement scale, Positive and Negative Syndrome Scale, and Calgary Depression Scale for Schizophrenia. Tolerability assessments included fasting lipid profiles, fasting glucose and insulin measurements, electrocardiography, and monitoring of vital signs and body weight. RESULTS The overall mean daily doses were 129.9 mg (SD=27.3) for ziprasidone and 11.3 mg (SD=2.8) for olanzapine. Both antipsychotics were efficacious in improving symptoms and global illness severity. The two treatment groups did not differ significantly in primary or secondary efficacy measures at endpoint or in by-visit analysis. Both agents were well tolerated. Body weight, total cholesterol, triglycerides, and low-density lipoprotein cholesterol significantly increased with olanzapine but not with ziprasidone; all between-group comparisons of these variables were significant and favored ziprasidone. Olanzapine, but not ziprasidone, was associated with significant increases in fasting insulin level. No patient in either group exhibited a corrected QT interval >/=500 msec. CONCLUSIONS During 6 weeks' treatment, ziprasidone and olanzapine demonstrated comparable antipsychotic efficacy. Differences favoring ziprasidone were observed in metabolic parameters.
Isolated reduction of the FEV3/FVC ratio as an indicator of mild airflow obstruction.

Therefore, the ratio of RV to total lung capacity increases with age. Observations in the present study regarding the FEV 3 /FVC ratio are similar to age-related changes in lung function. It has also been observed that the utility of FEV 1 /FVC ratio in the diagnosis of airfl ow obstruction, especially in older individuals, is limited and can lead to overdiagnosis of COPD. 4 The mean age of patients with isolated FEV 3 /FVC reduction in the present study was 61.2 � 12.3 years. Therefore, calculating the sensitivity and specifi city of the FEV 3 /FVC ratio using the FEV 1 /FVC ratio as the gold standard for airway obstruction may be inappropriate in older patients. Whether the reduction in FEV 3 /FVC ratio is just an age-related phenomenon that subsequently evolves into FEV 1 /FVC ratio reduction without any clinically signifi cant impact is a critical question. Inappropriate use of this ratio in the absence of clinical data might lead to overdiagnosis of obstructive airway disease. If the FEV 3 /FVC ratio is eventually recognized as a clinically relevant parameter for early airfl ow obstruction that translates into clinically signifi cant patient outcomes, the global burden of patients with obstructive airway disease across the globe will increase dramatically. Use of the term mild lung injury in the title is misleading. The term lung injury is conventionally used with reference to patients with ARDS so use of another term, like early airway obstruction or early air trapping, will be more appropriate.
Female and male plumage colour is linked to parental quality, pairing and extra-pair mating in a tropical passerine

Sexual selection has been proposed to drive the evolution of elaborate phenotypic traits in males, which often confer success in competition or mating. However, in many species both males and females display such traits, although studies reporting selection acting in both sexes are scarce. In this study, we investigated whether plumage ornamentation is sexually selected in female and male lovely fairy-wrens Malurus amabilis, a cooperatively breeding songbird. We found that female and male plumage colour was correlated with parental quality but did not incur survival costs. We also found evidence of positive assortative mating based on plumage colour. Microsatellite analyses of paternity indicated that the lovely fairywren has high levels of extra-pair paternity, with 53% of offspring resulting from extra-pair mating. Female and male plumage colour did not predict reproductive success and female proportion of extra-pair offspring in its own nest, but less colourful males obtained higher extra-pair paternity. We argue that plumage colour may be under sex-specific selection, highlighting the importance of looking at both sexes in studies of sexual selection and ornament evolution. The current findings together with previous study, suggest that plumage colour in female and male lovely fairy-wrens appears to be an honest signal relevant in both intra and inter-sexual competition contexts.
Childhood health in Jamaica: changing patterns in health conditions of children 0-14 years

Background: The new thrust by WHO is healthy life expectancy. Therefore, health must be more than morbidity. It is within this framework that a study on childhood health in Jamaica is of vital importance. Aims: This study 1) expands the health literature in Jamaica and by extension the Caribbean, 2) will aid public health practitioners with research findings upon which they are able to further improve the quality of life of children, 3) investigates the age at with children in Jamaica become influenced by particular chronic diseases and 4) assesses the subjective wellbeing of children. Methods: The current study extracted a sample of 8,373 and 2,104 children 0-14 years from two surveys collected jointly by the Planning Institute of Jamaica and the Statistics Institute of Jamaica for 2002 and 2007 respectively. A self-administered questionnaire was used to collect the data. Results: Ninety-one percent of children in Jamaica, for 2007, reported good health. The number of children who had diarrhea fell by 84.2% in 2007 over 2002, and a similar reduction was observed for those with asthma (42.1% in 2002 and 19.7% in 2007). Another critical finding was that 1.2% of children, in 2007, had diabetes mellitus compared to none in 2002. Conclusion: Public health now has an epidemiological profile of health conditions of children and the demographic shifts which are occurring and this can be used for effective management and planning of the new health reality of the Jamaican child.
Genetic studies of amyotrophic lateral sclerosis: Controversies and perspectives

The genetic causes of amyotrophic lateral sclerosis (ALS) are slowly being dissected out with the help of recent advances in genetic technology. Linkage studies and association studies examining candidate genes, candidate pathways, and genome-wide association have been used, based on direct sequencing and correlations between genetic variations. Copy number and microsatellite variants have also been examined, although the ideal methods for analysis are still being developed. In this review we examine the evidence for a genetic basis to ALS, discuss the challenges and difficulties faced and summarize the support for the reported genetic causes of ALS.
Product Release Planning - Methods, Tools and Applications

Spend your time even for only few minutes to read a book. Reading a book will never reduce and waste your time to be useless. Reading, for some people become a need that is to do every day such as spending time for eating. Now, what about you? Do you like to read a book? Now, we will show you a new book enPDFd product release planning methods tools and applications that can be a new way to explore the knowledge. When reading this book, you can get one thing to always remember in every reading time, even step by step.
An accurate CMOS time-to-digital-converter-based smart temperature sensor with negative thermal coefficient

A CMOS TDC-based smart temperature sensor with negative thermal coefficient is proposed for high-performance VLSI chips or SOC integration. Unlike the conventional intelligent temperature sensors which rely on voltage/current analog-to-digital converter (ADC) for digital output coding, the proposed temperature sensor without any bipolar transistor generates a pulse with a width inversely proportional to the measured temperature first. Then, a cyclic time-to-digital converter (TDC) is utilized to convert the pulse into the corresponding digital code. The test chips were fabricated in the TSMC CMOS 0.35-mum 2P4M digital process and have an extremely small area of 0.09 mm2 , less than one-twentieth of most predecessors. Due to excellent output linearity, the achieved measurement error is merely plusmn0.6degC after two point calibration, but without any curvature correction or dynamic offset cancellation. The effective resolution is better than 0.1degC, the power consumption is about 1.5 muW at a sample rate of 5 samples/s and a measurement rate as high as 10 kHz is feasible
Pharmacy Students' Learning and Satisfaction With High-Fidelity Simulation to Teach Drug-Induced Dyspepsia

Objective. To assess second-year pharmacy students’ acquisition of pharmacotherapy knowledge and clinical competence from participation in a high-fidelity simulation, and to determine the impact on the simulation experience of implementing feedback from previous students. Design. A high-fidelity simulation was used to present a patient case scenario of drug-induced dyspepsia with gastrointestinal bleeding. The simulation was revised based on feedback from a previous class of students to include a smaller group size, provision of session material to students in advance, and an improved learning environment. Assessment. Student performance on pre- and post-simulation knowledge and clinical competence tests documented significant improvements in students' knowledge of dyspepsia and associated symptoms, with the greatest improvement on questions relating to the hemodynamic effects of gastrointestinal bleeding. Students were more satisfied with the simulation experience compared to students in the earlier study. Conclusion. Participation in a high-fidelity simulation allowed pharmacy students to apply knowledge and skills learned in the classroom. Improved student satisfaction with the simulation suggests that implementing feedback obtained through student course evaluations can be an effective means of improving the curriculum.
Parameter-dependent robust H∞ model reduction for discrete-time switched polytopic linear systems

This paper investigates the problem of parameter-dependent robust H∞ model reduction for a class of discrete-time switched linear systems with polytopic parameter uncertainties. The objective is to design a parameter-dependent homogeneous reduced-order switched system to approximate a given switched polytopic linear system such that the resulting error system is asymptotically stable with a guaranteed H∞ performance γ for any switching rules. Based on a switched parameter-dependent quadratic Lyapunov function (SPDQLF) combined with Finsler's lemma, a novel sufficient condition in terms of a set of linear matrix inequalities (LMIs) for robust H∞ performance analysis is first proposed and in turn the reduced-order models are synthesized. It is shown that by using a new linearization technique incorporating a bounding technique, the matrices for the reduced-order models can be obtained by solving a set of linear matrix inequalities, which are numerically efficient with commercially available software. Finally, a numerical example is provided to illustrate the effectiveness and less conservatism of the proposed approaches.
Connections, changes, and cubes : unfolding dynamic networks for visual exploration. (Connexions, changement et cubes : déplier les réseaux dynamiques pour l'exploration visuelle)

Networks are models that help us understanding and thinking about relationships between entities in the real world. Many of these networks are dynamic, i.e. connectivity changes over time. Understanding changes in connectivity means to understand interactions between elements of complex systems; how people create and break up friendship relations, how signals get passed in the brain, how business collaborations evolve, or how food-webs restructure after environmental changes. However, understanding static networks is already difficult, due to size, density, attributes and particular motifs; changes over time very much increase this complexity. Quantification of change is often insufficient, but beyond an analysis that is driven by technology and algorithms, humans dispose a unique capability of understanding and interpreting information in data, based on vision and cognition. This dissertation explores ways to interactively explore dynamic networks by means of visualization. I develop and evaluate techniques to unfold the complexity of dynamic networks, making them understandable by looking at them from different angles, decomposing them into their parts and relating the parts in novel ways. While most techniques for dynamic network visualization rely on one particular type of view on the data, complementary visualizations allow for higher-level exploration and analysis. Covering three aspects Tasks, Visualization Design and Evaluation, I develop and evaluate the following unfolding techniques: (i) temporal navigation between individual time steps of a network and improved animated transitions to better understand changes, (ii) designs for the comparison of weighted graphs, (iii) the Matrix Cube, a space-time cube based on adjacency matrices, allowing to visualize dense dynamic networks by, as well as GraphCuisine, a system to (iv) generate synthetic networks with the primary focus on evaluating visualizations in user studies. In order to inform the design and evaluation of visualizations, we (v) provide a task taxonomy capturing users' tasks when exploring dynamic networks. Finally, (vi) the idea of unfolding networks with Matrix Cubes is generalized to other data sets that can be represented in space-time cubes (videos, geographical data, etc.). Visualizations in these domains can inspire visualizations for dynamic networks, and vice-versa. We propose a taxonomy of operations, describing how 3D space-time cubes are decomposed into a large variety of 2D visualizations. These operations help us exploring the design space for visualizing and interactively unfolding dynamic networks and other spatio-temporal data, as well as may serve users as a mental model of the data.
Attitudes of Factory Workers towards Industrial and Collaborative Robots

Despite the predicted growth of the amount of collaborative robots, little attention has been paid to the attitudes and needs of potential future users of these robots (e.g. factory workers). The main goal of our study was to identify recommendations to improve collaboration between robots and factory workers. We used the collaborative robot Baxter as a probe to elicit repsonses from factory workers in order to explore their perceptions regarding working with robots. We conducted four interviews with two factory workers simultaneously participating in each interview (n = 8). These interviews were analyzed and our findings suggest that workers believe robots can and have taken people's jobs. However, they also believe that robots can decrease their workload.
Planck intermediate results: XLVI. Reduction of large-scale systematic effects in HFI polarization maps and estimation of the reionization optical depth

This paper describes the identification, modelling, and removal of previously unexplained systematic effects in the polarization data of the Planck High Frequency Instrument (HFI) on large angular scales, including new mapmaking and calibration procedures, new and more complete endto-end simulations, and a set of robust internal consistency checks on the resulting maps. These maps, at 100, 143, 217, and 353 GHz, are early versions of those that will be released in final form later in 2016. The improvements allow us to determine the cosmic reionization optical depth τ using, for the first time, the low-multipole EE data from HFI, reducing significantly the central value and uncertainty, and hence the upper limit. Two different likelihood procedures are used to constrain τ from two estimators of the CMB Eand B-mode angular power spectra at 100 and 143 GHz, after debiasing the spectra from a small remaining systematic contamination. These all give fully consistent results. A further consistency test is performed using cross-correlations derived from the Low Frequency Instrument maps of the Planck 2015 data release and the new HFI data. For this purpose, end-to-end analyses of systematic effects from the two instruments are used to demonstrate the near independence of their dominant systematic error residuals. The tightest result comes from the HFI-based τ posterior distribution using the maximum likelihood power spectrum estimator from EE data only, giving a value 0.055 ± 0.009. In a companion paper these results are discussed in the context of the best-fit Planck ΛCDM cosmological model and recent models of reionization.
Plant Response to Stress: Biochemical Adaptations to Phosphate Deficiency

Phosphate (Pi) is an essential macronutrient that plays a central role in virtually all metabolic processes in plants, including photosynthesis and respiration. Despite its importance, Pi is one of the least available nutrients in many ecosystems, and is a frequent limiting factor for plant productivity. Although plentiful in the earth’s crust, soil Pi often exists in insoluble mineral forms that render it unavailable to plants. Agricultural Pi deficiency is alleviated by the massive application of Pi fertilizers, currently estimated to be about 40 million metric tons per year worldwide. However, the assimilation of Pi fertilizers by crops is quite inefficient, as a large proportion of applied Pi becomes immobile, or may runoff into and thereby pollute nearby surface waters. Moreover, the world’s reserves of rock Pi (mined for production of Pi fertilizers) are expected to be depleted within the next century. Thus, studies of the complex mechanisms whereby plants acclimate to nutritional Pi deficiency are of great importance. This could lead to the development of rational strategies for engineering Pi-efficient transgenic crops that would reduce or eliminate our current overreliance on expensive, polluting, and nonrenewable Pi fertilizers. The aim of this article is to provide a brief overview of the fascinating biochemical adaptations of Pistarved ( Pi) plants.
HARKBird: Exploring Acoustic Interactions in Bird Communities Using a Microphone Array

Furo-cho, Chikusa-ku, Nagoya 464-8601, Japan E-mail: reiji@nagoya-u.jp ∗2Department of Ecology and Evolutionary Biology, University of California Los Angeles Los Angeles, CA 90095, USA ∗3Department of Systems and Control Engineering, School of Engineering, Tokyo Institute of Technology 2-12-1 Ookayama, Meguro-ku, Tokyo 152-8552, Japan ∗4Honda Research Institute Japan Co., Ltd. 8-1 Honcho, Wako, Saitama 351-0114, Japan ∗5Graduate School of Fundamental Science and Engineering, Waseda University 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan
Algorithmic Methods in the Humanities

Nowadays, online reviews are pervasive. Most internet users take a look at online reviews before they make a purchase decision. With the growth of the internet and, especially, e-commerce, the number of online reviews has grown immensively in the past years. On the one hand, this is a good thing – a high number of available subjective opinions allow a customer to make a confident and educated purchase decision. On the other hand, the number of reviews for some popular products or services can amount to hundreds or thousands, and such a large amount of data is difficult to process for a human. There can be multiple solutions for this problem, e.g., some services let users decide if a comment is useful or not, and show top comments first. In this work, we discuss the approach of automatically summarizing opinions, in particular the system introduced by S. Blair-Goldensohn et al. [1]. Our goal is to discuss the building blocks of the system itself and introduce available alternatives and possible applications of this system.
Safety and Efficacy of Steroid Withdrawal Two Days after Kidney Transplantation: Analysis of Results at Three Years

Background. Chronic steroid therapy in spite of myriad side effects is widely used in kidney transplantation. This prospective controlled study evaluated safety and efficacy of steroid withdrawal at 2 days in kidney recipients monitored by surveillance biopsy. Methods. In all, 300 kidney recipients were studied; 150 in second-day steroid withdrawal group and 150 in steroid treated group (control group). Immunosuppression was basiliximab induction and maintenance was a calcineurin inhibitor and mycophenolate mofetil or sirolimus. Biopsy-proven acute rejection (BPAR) was treated by methylpredisolone. Surveillance biopsies were completed to evaluate subclinical acute rejection (SCAR) and chronic allograft nephropathy (CAN). Primary end point was acute rejection. Three-year patient and graft survival, new onset diabetes mellitus (NODM), serum creatinine and creatinine clearance were evaluated. Results. Acute rejection was diagnosed in 14% in control group and 16% in steroid withdrawal group. Three-year patient and graft survival was 89% and 79% in control and 91% and 78% in steroid withdrawal group. Serum creatinine and creatinine clearance was 1.9±0.8 and 59±11 in control group and 1.8±0.9 mg/dl and 61±10 mls/minute in steroid withdrawal group. Incidence of SCAR and progression of CAN were comparable in the 2 groups. At 3-years NODM was diagnosed in 21% in control group and 4% in steroid withdrawal group (P<0.01). Conclusions. Two-day steroid withdrawal in kidney transplant recipients did not affect BPAR, SCAR, CAN, graft function and patient and graft survival compared to control group up to 3 years. NODM was significantly less in steroid withdrawal group. Two-day steroid withdrawal is safe and beneficial in kidney transplant recipients.
Fast recognition of direct and strong products

This note describes fast algorithms for computing the prime factors of connected, nonbipartite graphs with respect to the direct product, and of connected graphs with respect to the strong product. The complexities are O(m min(n 2 ; 3 )) for the direct product, and O(ma(G)) for the strong, wheren is the order of the graphG to be factored,m its size, a(G) its arboricity, and its maximum degree. That is, the complexities are linear in m for fixed .
Vasopressin stimulates tyrosine phosphorylation by activation of pkc in the rat smooth muscle cell line, a‐10

Arginine vasopressin (AVP)‐induced tyrosine phosphorylation was studied in a rat smooth muscle cell line, A‐10, by western blotting, using a monoclonal antibody against phosphotyrosine. AVP stimulated the phosphorylation of several cellular proteins of molecular mass 60–130kDa in a time‐ and dose‐dependent manner. Phosphorylation was mediated largely by V1receptor subtype since it was inhibited by selective V1antagonist and was only partially elicited by the V2agonist, desmopressin. Heterotrimeric G‐proteins seemed to be involved in the phosphorylation mechanism because fluoraluminates, an activator of heterotrimeric G‐proteins (and thus an uncoupler of the receptor—G‐protein interaction) inhibited the AVP‐induced phosphorylation. The protein kinase C (PKC) inhibitors: staurosporine, H7 and GF109203X are able to block the AVP‐stimulated phosphorylation. The last of these has been shown to be one of the most selective inhibitors of PKC. These results indicate that PKC is upstream of the phosphorylation, a motion which is supported by the fact that the AVP‐stimulated phosphorylation was downregulated by phorbol esters.