Miracle-dz/UniFAR-FTUs huggingface dataset:
DISCOVERY AND ATMOSPHERIC CHARACTERIZATION OF GIANT PLANET KEPLER-12b: AN INFLATED RADIUS OUTLIER

We report the discovery of planet Kepler-12b (KOI-20), which at 1.695 ± 0.030 RJ is among the handful of planets with super-inflated radii above 1.65 RJ. Orbiting its slightly evolved G0 host with a 4.438 day period, this 0.431 ± 0.041 MJ planet is the least irradiated within this largest-planet-radius group, which has important implications for planetary physics. The planet's inflated radius and low mass lead to a very low density of 0.111 ± 0.010 g cm−3. We detect the occultation of the planet at a significance of 3. 7σ in the Kepler bandpass. This yields a geometric albedo of 0.14 ± 0.04; the planetary flux is due to a combination of scattered light and emitted thermal flux. We use multiple observations with Warm Spitzer to detect the occultation at 7σ and 4σ in the 3.6 and 4.5 μm bandpasses, respectively. The occultation photometry timing is consistent with a circular orbit at e < 0.01 (1σ) and e < 0.09 (3σ). The occultation detections across the three bands favor an atmospheric model with no dayside temperature inversion. The Kepler occultation detection provides significant leverage, but conclusions regarding temperature structure are preliminary, given our ignorance of opacity sources at optical wavelengths in hot Jupiter atmospheres. If Kepler-12b and HD 209458b, which intercept similar incident stellar fluxes, have the same heavy-element masses, the interior energy source needed to explain the large radius of Kepler-12b is three times larger than that of HD 209458b. This may suggest that more than one radius-inflation mechanism is at work for Kepler-12b or that it is less heavy-element rich than other transiting planets.
Power Saving Design for Servers under Response Time Constraint

Reducing the power consumption while maintaining the response time constraint has been an important goal in server system design. One of the techniques widely explored in the literature to achieve this goal is Dynamic Voltage Scaling (DVS). However, DVS is not efficient in modern systems where the overall power consumption includes a large portion of static power consumption. In this paper, we aim to reduce the static power consumption by Dynamic Power Management (DPM) with sleep model in addition to DVS. We propose a smart PowerSleep power-saving scheme, where a procrastination technique is adopted to carefully aggregate jobs to reduce the overhead of transitions in and out of the sleep mode. We also observe that PowerSleep might not always be a good choice due to the mode transition overhead when the server utilization is high, where instead we use PowerIdle power-saving scheme with DVS only. By modeling the system with M/G/1/PS queuing model and further extensions, we present how to minimize the mean power consumption of the server under the given mean response time constraint for both power-saving schemes. Simulation results show that our smart PowerSleep scheme significantly outperforms the simple power saving scheme which adopts sleep mode.
Polypeptide (PACAP) Receptor the Pituitary Adenylate Cyclase-Activating Mouse Macrophages Through Interaction with and Induces IL-6 by a Saliva Inhibits TNF-The Vasoactive Peptide Maxadilan from Sand Fly

Maxadilan is a vasodilatory peptide encoded by a gene cloned from Lutzomyia longipalpis salivary glands. In this study we investigated the effects of maxadilan on macrophage functions. Maxadilan treatment of LPS-stimulated BALB/c macrophages inhibited TNF- a release but increased IL-6. Further, it also induced IL-6 release in a dose-dependent manner from unstimulated macrophages. Maxadilan increased production of PGE 2 , and the inhibition of TNF- a was completely abrogated by indomethacin. Others have recently shown that maxadilan is a selective agonist of the pituitary adenylate cyclase-activating polypeptide (PACAP) type I receptor. Treatment with the receptor antagonist PACAP 6–38 blocked maxadilan activities on macrophages. The natural endogenous ligand, PACAP 38, had the same effects as maxadilan on TNF- a and IL-6 production. Finally, in a dose- and time-dependent fashion, maxadilan induced the intracellular accumulation of cAMP in macrophages. Taken together, the results presented here indicate a modulatory effect of ligands of PACAP type I receptor on cytokine production by macrophages and suggest that activation of this receptor, with the subsequent elevation of intracellular cAMP in macrophages, could participate in a negative-feedback mechanism that controls certain inﬂammatory responses. The Journal of Immunology, 1998, 160: 1811– 1816. signaling protein A, phospholipase protein C translocation These that the of maxadilan macrophages are by the but that it is likely that both maxadilan and PACAP mediate their effects by triggering more than one intracellular signaling pathway.
PENGARUH MIKORIZA DAN JARAK TANAM TERHADAP HASIL TANAMAN JAGUNG MANIS (Zea mays var. saccharata Sturt)

The research about effort to increase the yield of sweet corn (Zea mays var. saccharata Strurt.) using mikoriza doses and planting distance was conducted in August until November 2016. Location in forestry and agriculture institute axperimental Dlimas, Tegalrejo, Magelang. The altitude 478 m using latosol soil with pH 6,8. A research tipe (3X3) factorial experiment arrangged in randomized completed, block design repeated three times. The first factor was mikoriza dose of 0, 30 and 60 g/plant. The second factor was planting distance of 70 cm X 20 cm, 70 cm X 30 cm and 70 cm X 40 cm. The result of the research showed that mikoriza dose of 30 g/plant can increase the highly on number of leaves, weight of cob with husks per plant, weight of cob without husks per plant, cob lenght, composition of sugar and number of lines. Planting distance of 70 cm X 20 cm gived the highest plant height. While planting space of 70 cm X 40 cm gived the highest of leaves number, weight of cob with husks per plant, weight of cob without husks per plant, cob lenght, composition of sugar and the number of lines. Increasing mikoriza dose and planting distance different on the number of leaves.
Target prices , relative valuations and the compensation for liquidity provision

We document that short-run deviations between prices and fundamentals can be identified in real time using equity analysts’ target price forecasts. While a given target price itself need not provide an accurate estimate of true fundamental values, relative valuations of firms within an industry, on average, are more precise. This finding allows us to disentangle information and liquidity induced short-run price movements by providing a control for changes in fundamental values. The short-run deviations from fundamental values are economically and statistically significant and of a magnitude not easily explained by transaction costs alone. We find that the risk-adjusted return earned by our benchmark portfolio of S&P500 stocks is highly correlated with standard cross-sectional measures of liquidity such as the bid-ask spread, price impact and changes in signed trading volume. Our findings point to a significant premium required by investors for providing immediacy even in the market for the most liquid stocks. JEL Classification: G12 ∗We would like to thank Kathleen Hagerty, Robert Korajczyk, Robert McDonald, Avanidhar Subrahmanyam, seminar participants at Goldman Sachs Asset Management, HEC Montreal, University of Notre Dame, Northwestern University, Vanguard and especially Ravi Jagannathan for his numerous suggestions and insights. We gratefully acknowledge financial support from the Financial Institutions and Markets Research Center at the Kellogg School of Management. † zda@nd.edu, University of Notre Dame. ‡ e-schaumburg@northwestern.edu, Kellogg School of Management, Northwestern University. 1 10:30 am – 12:00 pm, Room: JKP-202 FRIDAY, October 27, 2006 USC FBE FINANCE SEMINAR presented by Ernst Schaumburg
Towards 3-D LV shape recovery in biplane X-ray angiography using statistical shape models

Coronary X-ray angiography has proven to be an efficient method for treatment and diagnosis of cardiovascular diseases. In clinical practice, quantitative LV analysis is done in 2-D and based on contour data since 3-D information is not available due to projection. In this work, a novel approach for recovering the 3-D LV shape from bi-planar X-ray images is presented. The sparse and noisy data available for reconstruction necessitates the incorporation of geometric prior information. A statistical shape model of the ventricular anatomy is learned from high-resolution multi-slice CT data. Reconstruction is based on a non-rigid 2-D/3-D registration technique. To fit the shape model to the X-ray images of the patient, simulated projections of the model are calculated. An optimization procedure minimizes the difference between simulated and real projection images. The presented method is evaluated using simulated data.
A modified PSNR metric based on HVS for quality assessment of color images

Objective assessment of the image quality is of keen importance in numerous image processing applications. Various objective quality assessment indexes have been developed for this purpose, of which Peak signal-to-noise ratio (PSNR) is one of the simplest and commonly used. However, it sometimes fails to give result similar to as perceived by the Human Visual System (HVS). This paper presents a modified PSNR metric which is based on HVS characteristics and correlates well with the perceived image quality. It takes into account the error sensitivity, structural distortion and edge distortion in the image. The proposed metric uses RGB model for color images and empirically combine the effects of above distortion types on each of the color plane. Simulation results illustrate the precision and efficiency of the proposed metric in assessing the quality of color images for different types of degradations and show better correlation with the known characteristics of HVS in comparison to conventional PSNR metric.
Protective role of tetrahydrocurcumin (THC) an active principle of turmeric on chloroquine induced hepatotoxicity in rats.

PURPOSE Tetrahydrocurcumin (THC) is an antioxidative substance, which is derived from curcumin, the component of turmeric. In the present investigation, the effect of THC and curcumin against chloroquine (CQ) induced hepatotoxicity were studied in female Wistar rats. METHODS On single oral administration of CQ (970 mg/kg body weight) the activities of serum marker enzymes namely aspartate transaminase, alanine transaminase and alkaline phosphatase and the levels of bilirubin were significantly increased with significant alterations of lipids in serum and lipidperoxidation markers such as thiobarbituric acid reactive substances (TBARS) and hydroperoxides in plasma and liver were also elevated in CQ treated rats. The levels of non-enzymic antioxidants (vitamin C, vitamin E and reduced glutathione) and enzymic antioxidants (superoxide dismutase, catalase and glutathione peroxidase) were also decreased in CQ treated rats. Administration of THC (80 mg/kg body weight) and curcumin (80 mg/kg body weight) for 8 days before and 7 days after single administration of CQ significantly decreased the activities of serum markers and lipids in serum. In addition, the level of TBARS and hydroperoxides were significantly decreased with significant increase in non-enzymic and enzymic antioxidants on treatment with THC and curcumin. The biochemical observation was supplemented by histopathological examination of liver section. The results of the study reveal that THC shows more pronounced protective effect than curcumin against CQ induced toxicity.
Association of obesity and overweight with the prevalence of insulin resistance, pre-diabetes and clinical–biochemical characteristics among infertile Mexican women with polycystic ovary syndrome: a cross-sectional study

Objective To study the association of obesity and overweight with the prevalence of insulin resistance (IR), pre-diabetes and clinical–biochemical characteristics among infertile Mexican women with polycystic ovary syndrome (PCOS). Design Retrospective cross-sectional study. Setting Level-three medical institution, an infertility clinic in Mexico City. Participants We included infertile Mexican women with diagnosis of PCOS according to the Rotterdam criteria: group 1 (n=83), normal weight (body mass index (BMI) 18.5–24.9 kg/m2); group 2 (n=217), overweight (BMI 25–29.9 kg/m2); and group 3 (n=238), obese (BMI≥30 kg/m2). Primary and secondary outcome measures IR was determined by homeostatic model assessment (HOMA) >2.5 and pre-diabetes by fasting glucose between 5.6 and 6.9 mmol/L and/or glucose value between 7.8 and 11 mmol/L at 2 hours during an oral glucose tolerance test. We compared clinical–biochemical characteristics among groups. Results Prevalence of IR for groups 1, 2 and 3 was 19.3%, 56.2% and 78.2%; overweight and obesity increase the IR OR (CI 95%) to 5.3 (2.9 to 9.8) and 14.9 (8.0 to 28), respectively. Prevalence of pre-diabetes for groups 1, 2 and 3 was 7.2%, 17.5% and 31.5%; overweight and obesity increase the pre-diabetes OR (CI 95%) to 2.7 (1.1 to 6.7) and 5.9 (2.4 to 14), respectively. Acanthosis nigricans was more frequent in group 3 than group 1. Free Androgen Index (FAI) and thyroid-stimulating hormone (TSH) levels were lower in group 1 than in groups 2 and 3. Progesterone and sex hormone-binding globulin (SHBG) levels were higher in group 1 than in groups 2 and 3. Dehydroepiandrosterone sulfate (DHEA-S) was higher in group 1 than group 3. Conclusions Obese and overweight infertile Mexican women with PCOS, attending to an infertility clinic, have a higher prevalence of IR and pre-diabetes compared with normal-weight women with PCOS. Therapeutic interventions should include those that improved metabolic functioning prior to attempting pregnancy in these groups of women.
Effects on P-Glycoprotein Expression after Blood-Brain Barrier Disruption Using Focused Ultrasound and Microbubbles

Many blood-borne substances attempting to pass through the luminal membrane of brain endothelial cells are acted upon by a variety of metabolizing enzymes or are actively expelled back into the capillary lumen by embedded efflux transporters, such as Permeability-glycoprotein (Pgp). Overexpression of this protein has also been linked to multidrug resistance in cancer cells. Previous studies have shown that focused ultrasound (FUS), when combined with a microbubble agent, has ability to temporarily disrupt blood-brain barrier (BBBD). In this work, we investigated whether modulation of Pgp expression is part of the FUS-induced effects. We found that ultrasound can temporarily suppress Pgp expression. When BBBD was produced at 0.55 MPa, Pgp was suppressed up to 48 hours and restored by 72 hours. At 0.81 MPa, suppression can last 72 hours or longer. These findings support the idea that microbubble-enhanced FUS disrupts the functional components of the BBB through suppression of drug efflux.
The DORII project test bed: Distributed eScience applications at work

Much interest has arisen recently on the access to and management of remote instrumentation and laboratory equipment in general. The complexity of activities related to these topics can be summarized under the name of Remote Instrumentation Services, where the term “instrumentation” includes any kind of experimental equipment, and the term “services” underlines the general framework whereby the instrumental resources should be accessed (i.e., the Service Oriented Architecture). Building on the foundations of previous European projects, the aim of DORII (Deployment of Remote Instrumentation Infrastructure) is to build and operate a test bed addressing different areas of eScience. These include oceanographic applications, earthquake engineering, and large-scale physics experiments on synchrotron light. The paper describes the characteristics and the design of the test bed stemming from the applications' requirements, in terms of networking and middleware, and its current status of development.
Bayesian mixture analysis for metagenomic community profiling

Deep sequencing of clinical samples is now an established tool for the detection of infectious pathogens, with direct medical applications. The large amount of data generated provides an opportunity to detect species even at very low levels, provided that computational tools can effectively interpret potentially complex metagenomic mixtures. Data interpretation is complicated by the fact that short sequencing reads can match multiple organisms and by the lack of completeness of existing databases, in particular for viral pathogens. This interpretation problem can be formulated statistically as a mixture model, where the species of origin of each read is missing, but the complete knowledge of all species present in the mixture helps with the individual reads assignment. Several analytical tools have been proposed to approximately solve this computational problem. Here, we show that the use of parallel Monte Carlo Markov chains (MCMC) for the exploration of the species space enables the identification of the set of species most likely to contribute to the mixture. The added accuracy comes at a cost of increased computation time. Our approach is useful for solving complex mixtures involving several related species. We designed our method specifically for the analysis of deep transcriptome sequencing datasets and with a particular focus on viral pathogen detection, but the principles are applicable more generally to all types of metagenomics mixtures. The work is implemented as a user friendly R package, available from CRAN: http://cran.r-project.org/web/packages/metaMix.
Gaming well: links between videogames and flourishing mental health

This paper is a review of the state of play of research linking videogaming and flourishing, and explores the role of videogames and technology to improve mental health and well-being. Its purpose is to develop understandings about the positive intersection of gaming and well-being, to document evidence regarding links between videogames and positive mental health, and to provide guidelines for use by other researchers as they design and use tools and games to improve mental health and well-being. Using Huppert's (Huppert and So, 2013) proposition that to flourish is more than the absence of mental disorder but rather a combination of feeling good and functioning effectively, resulting in high levels of mental well-being, and Seligman's (Seligman, 2011) PERMA theory of well-being, the paper identifies strengths in existing games that generate positive affect, positive functioning, and positive social functioning, contributing to, and supporting mental health and well-being.
Reconstructing the recent past ocean variability: Status and perspective

In the last two decades, climate research has beneﬁted from the continuous development of analysis systems dedicated to operational monitoring and forecasting, which opened up the possibility of exploiting the state of the art modeling and data assimilation tools to reconstruct and study the ocean during the past decades. This activity became feasible also thanks to the increasing availability of long time series of high-quality in situ and remotely-sensed observations. Retrospective analyses (or simply reanalyses or ocean syntheses), indeed combine quality controlled reprocessed ocean observations with a state-of-the-art ocean general circulation model (OGCM) using data assimilation methods to estimate the time-varying, three-dimensional state of the ocean. Ocean reanalyses beneﬁt from data assimilation algorithms that are usually inherited from operational oceanography, although they require speciﬁc treatment in order to avoid spurious drifts stemming from instrumental or model biases. Unlike observation-only products, ocean reanalyses take advantage of time-varying atmospheric forcing, usually coming from an atmospheric reanalysis, and dynamical and physical balances implied by the OGCM. Here we give an excursus on the availability of global and regional ocean reanalyses, their applications, their strengths and weaknesses, and their future developments foreseen at the present time.
Orthopedic surgeons’ knowledge regarding risk of radiation exposition: a survey analysis

Introduction: The purpose of this study is to evaluate the knowledge levels of orthopedic surgeons working in Turkey about the uses and possible risks of fluoroscopy and assess methods for preventing radiation damage. Methods: A questionnaire with a total of 12 questions was sent to 1121 orthopedic surgeons working in Turkey. The questionnaire evaluated participants’ knowledge about the uses and risks of fluoroscopy and methods for preventing damage. One thousand and twenty-four orthopedic surgeons were found to be suitable for inclusion in the study. The effects of fluoroscopy on patients were not assessed in our study. Results: The data obtained were statistically evaluated. Of the surveyed surgeons, 313 (30%) had used fluoroscopy in over 50% of their operations. The average number of fluoroscopy shots per case was 54.5. A lead apron was the most commonly used (88%) protection from the harmful effects of radiation. Fluoroscopy shots were performed with the help of operating room personnel (86%). A dosimeter was used 5% of the time. Conclusion: According to the survey results, the need for fluoroscopy was very high in orthopedic surgery. However, orthopedic surgeons have inadequate knowledge about the uses and risks of fluoroscopy and methods for preventing damage. Therefore, we believe that training on this topic should be provided to all orthopedic surgeons.
Whole grain consumption and risk of ischemic stroke in women: A prospective study.

CONTEXT Although increased intake of grain products has been recommended to prevent cardiovascular disease (CVD), prospective data examining the relation of whole grain intake to risk of ischemic stroke are sparse, especially among women. OBJECTIVE To examine the hypothesis that higher whole grain intake reduces the risk of ischemic stroke in women. DESIGN, SETTING, AND PARTICIPANTS A prospective cohort of 75,521 US women aged 38 to 63 years without previous diagnosis of diabetes mellitus, coronary heart disease, stroke, or other CVDs in 1984, who completed detailed food frequency questionnaires (FFQs) in 1984, 1986, 1990, and 1994, and were followed up for 12 years as part of the Nurses' Health Study. MAIN OUTCOME MEASURE Incidence of ischemic stroke, confirmed by medical records, by quintile of whole grain intake according to FFQ responses. RESULTS During 861,900 person-years of follow-up, 352 confirmed incident cases of ischemic stroke occurred. We observed an inverse association between whole grain intake and ischemic stroke risk. The age-adjusted relative risks (RRs) from the lowest to highest quintiles of whole grain intake were 1.00 (referent), 0.68 (95% confidence interval [CI], 0.49-0.94), 0.69 (95% CI, 0.51-0.95), 0.49 (95% CI, 0.35-0.69), and 0.57 (95% CI, 0.42-0.78; P =.003 for trend). Adjustment for smoking modestly attenuated this association (RR comparing extreme quintiles, 0.64; 95% CI, 0.47-0.89). This inverse association remained essentially unchanged with further adjustment for known CVD risk factors, including saturated fat and transfatty acid intake (multivariate-adjusted RR comparing extreme quintiles, 0.69; 95% CI, 0.50-0.98). The inverse relation between whole grain intake and risk of ischemic stroke was also consistently observed among subgroups of women who never smoked, did not drink alcohol, did not exercise regularly, or who did not use postmenopausal hormones. No significant association was observed between total grain intake and risk of ischemic stroke. CONCLUSIONS In this cohort, higher intake of whole grain foods was associated with a lower risk of ischemic stroke among women, independent of known CVD risk factors. These prospective data support the notion that higher intake of whole grains may reduce the risk of ischemic stroke.