Miracle-dz/UniFAR-FTUs huggingface dataset:
Ketoconazole Inhibits Ovulation as a Result of Arrest of Follicular Steroidogenesis in the Rat Ovary

Objective Ketoconazole (KCZ) is a known inhibitor of steroidogenic P450 enzymes in the adrenal cortex and the gonads. Previous studies examined the potential clinical use of KCZ for attenuation of ovarian response to gonadotropin treatments. This study aimed to use the superovuating rat model to explore the effect of KCZ on ovarian steroidogenesis, follicular function, and development toward ovulation. Methods Prepubertal rats were treated with equine chorionic gonadotropin (eCG)/human CG (hCG) resulting in multiple follicular development and ovulation. The effect of KCZ on this model was examined by administration of KCZ-gel formula and subsequent analyses of ovarian steroidogenesis, rate of ovulation, morphometric assessments of follicular parameters, and cell-specific steroidogenic maturation of the treated ovaries. Results When applied shortly before gonadotropin stimulation, KCZ markedly reduced ovarian progesterone, androstenedione, and estradiol levels down to 18.7, 36.5, and 19.0%, respectively (P < 0.001). A single KCZ-gel administration of 6, 12, and 24 mg/rat resulted in reduction of ovulated ova/ovary down to 8.6 ± 4.9, 5.1 ± 4.3, and 2.4 ± 3.2, respectively, as compared to 13.6 ± 4.4 ova found in the oviduct of control-gel-injected animals (P < 0.001). An alternative protocol made use of small KCZ doses injected in non-gel formula (5 mg/dose/8 hours), commenced with the eCG administration and terminated 24 hours later; this treatment readily inhibited the ovulation rates to 6.6 ± 6.6 as compared to 16.5 ± 4.1 ova/ovary in the control group (P < 0.01). By contrast, KCZ failed to inhibit ovulation if administered 24 hours after eCG injection. Anovulation by KCZ resulted from arrest of follicular development at the stage of 800-840 μm Graafian follicles as compared to 920 μm of peri-ovulatory follicles (OFs) observed in the control group, P = 0.029. In addition, absence of CYP11A1 expression was evident in the granulosa cell layers of the growth-arrested follicles, which also lacked mucified mature cumulus cell complexes. Conclusion These results suggest that KCZ-mediated inhibition of follicular maturation probably results from impaired steroidogenesis at early phase of follicular development toward ovulation. Hence, attenuation of folliculogenesis by KCZ may be harnessed to modulate gonadotropin-ovarian stimulation in fertility treatments.
Comparison of two commercial quantitative PCR assays for EBV DNA detection and their correlation with the first WHO International Standard for EBV

Purpose. There are few data on the performance of automated Epstein‐Barr virus (EBV) PCR assays. This study compared EBV quantification for the kPCR PLX EBV DNA (kPCR; Siemens, France) and the EBV R‐gene (R‐gene; Argene, Biomerieux, France) assays and their correlation with the World Health Organization (WHO) standard. Methodology. WHO International Standard for EBV (WHO standard) dilution panels in different matrices were submitted to nucleic acid extraction with Versant kPCR Molecular Systems SP followed by the kPCR assay, or to nucleic acid extraction with the MagNA Pure LC System or NucliSENS easyMag followed by the R‐gene assay. Seventy‐four clinical specimens were tested in both assays. Bland‐Altman analysis and linear regression analysis were performed. Results. The correlation between the WHO standard diluted in different matrices and the R‐gene and kPCR assays was good (R2 >0.96 and R2 >0.92, respectively). A matrix effect was observed. The correlation of quantitative results between both assays yielded a coefficient of determination R2 higher than 0.74. The quantification differences were within one log10 of the averaged results for 34 of the 38 specimens (89 %). Calibration to the WHO standard did not increase the comparability of quantitative results. Conclusions. The quantitative results of both assays showed reasonable correlation with each other and a good correlation with the WHO standard.
Forecasting air quality time series using deep learning

ABSTRACT This paper presents one of the first applications of deep learning (DL) techniques to predict air pollution time series. Air quality management relies extensively on time series data captured at air monitoring stations as the basis of identifying population exposure to airborne pollutants and determining compliance with local ambient air standards. In this paper, 8 hr averaged surface ozone (O3) concentrations were predicted using deep learning consisting of a recurrent neural network (RNN) with long short-term memory (LSTM). Hourly air quality and meteorological data were used to train and forecast values up to 72 hours with low error rates. The LSTM was able to forecast the duration of continuous O3 exceedances as well. Prior to training the network, the dataset was reviewed for missing data and outliers. Missing data were imputed using a novel technique that averaged gaps less than eight time steps with incremental steps based on first-order differences of neighboring time periods. Data were then used to train decision trees to evaluate input feature importance over different time prediction horizons. The number of features used to train the LSTM model was reduced from 25 features to 5 features, resulting in improved accuracy as measured by Mean Absolute Error (MAE). Parameter sensitivity analysis identified look-back nodes associated with the RNN proved to be a significant source of error if not aligned with the prediction horizon. Overall, MAE's less than 2 were calculated for predictions out to 72 hours. Implications: Novel deep learning techniques were used to train an 8-hour averaged ozone forecast model. Missing data and outliers within the captured data set were replaced using a new imputation method that generated calculated values closer to the expected value based on the time and season. Decision trees were used to identify input variables with the greatest importance. The methods presented in this paper allow air managers to forecast long range air pollution concentration while only monitoring key parameters and without transforming the data set in its entirety, thus allowing real time inputs and continuous prediction.
Predation cost of conspicuous male coloration in collared lizards (Crotaphytus collaris) : An experimental test using clay-covered model lizards

Animal color patterns are a compromise between sexual selection pressures that increase advantages accrued from conspicuousness, and natural selection pressures that decrease those advantages through reduced survivorship. Predation pressure, as a mode of natural selection, often is invoked as a counter-selective force to sexual selection, yet few studies have demonstrated empirically that more conspicuous individuals experience higher rates of predation. We quantified predator attacks on models of collared lizards, Crotaphytus collaris, in three well-studied populations (Oklahoma, USA). These populations differ in coloration and in visual backgrounds against which the lizards are viewed by conspecifics and predators. Attack frequencies varied considerably among study sites but at all sites the models exhibiting the strongest color contrast with local rocks were detected and attacked most often. By comparison, inconspicuous models of females were never attacked at any of the sites. These results suggest a survival cost of conspicuous coloration in collared lizards, and reiterate the importance of considering the visual environment as well as differences among populations when examining the influence of predation on the evolution of animal color patterns.
Fast Measurement of Sarcomere Length and Cell Orientation in Langendorff-Perfused Hearts Using Remote Focusing Microscopy

Rationale: Sarcomere length (SL) is a key indicator of cardiac mechanical function, but current imaging technologies are limited in their ability to unambiguously measure and characterize SL at the cell level in intact, living tissue. Objective: We developed a method for measuring SL and regional cell orientation using remote focusing microscopy, an emerging imaging modality that can capture light from arbitrary oblique planes within a sample. Methods and Results: We present a protocol that unambiguously and quickly determines cell orientation from user-selected areas in a field of view by imaging 2 oblique planes that share a common major axis with the cell. We demonstrate the effectiveness of the technique in establishing single-cell SL in Langendorff-perfused hearts loaded with the membrane dye di-4-ANEPPS. Conclusions: Remote focusing microscopy can measure cell orientation in complex 2-photon data sets without capturing full z stacks. The technique allows rapid assessment of SL in healthy and diseased heart experimental preparations.
Changes in susceptibility to life-threatening infections after treatment for complicated severe malnutrition in Kenya

ABSTRACT Background Goals of treating childhood severe acute malnutrition (SAM), in addition to anthropometric recovery and preventing short-term mortality, include reducing the risks of subsequent serious infections. How quickly and how much the risk of serious illness changes during rehabilitation are unknown but could inform improving the design and scope of interventions. Objective The aim of this study was to investigate changes in the risk of life-threatening events (LTEs) in relation to anthropometric recovery from SAM. Design This was a secondary analysis of a clinical trial including 1778 HIV-uninfected Kenyan children aged 2–59 mo with complicated SAM, enrolled after the inpatient stabilization phase of treatment, and followed for 12 mo. The main outcome was LTEs, defined as infections requiring rehospitalization or causing death. We examined anthropometric variables measured at months 1, 3, and 6 after enrollment in relation to LTEs occurring during the 6 mo after each of these time points. Results Over 12 mo, there were 823 LTEs (257 fatal), predominantly severe pneumonia and diarrhea. At months 1, 3, and 6, 557 (34%), 764 (49%), and 842 (56%) children had a weight-for-height or -length z score (WHZ) ≥−2, respectively, which, compared with a WHZ <−3, was associated with lower risks of subsequent LTEs [adjusted HRs (95% CIs): 0.50 (0.40, 0.64), 0.30 (0.23, 0.39), and 0.23 (0.16, 0.32), respectively]. However, children with a WHZ ≥−2 at 1, 3, and 6 mo still had 39 (95% CI: 32, 47), 26 (95% CI: 22, 32), and 15 (95% CI: 12, 20) LTEs/100 child-years of observation during the following 6 mo. WHZ at study enrollment predicted subsequent WHZ but not the risk of LTEs. Changes in height-for-age z score did not predict LTEs. Conclusions Anthropometric response was associated with a rapid and substantial reduction in risk of LTEs. However, reduction in susceptibility lagged behind anthropometric improvement. Disease events, together with anthropometric assessment, may provide a clearer picture of the effectiveness of interventions. Robust protocols for detecting and treating poor anthropometric recovery and addressing broader vulnerabilities that complicated SAM indicates may save lives. This trial was registered at www.clinicaltrials. gov as NCT00934492.
UiO-66-NH2/GO Composite: Synthesis, Characterization and CO2 Adsorption Performance

In this work, a new composite materials of graphene oxide (GO)-incorporated metal-organic framework (MOF)(UiO-66-NH2/GO) were in-situ synthesized, and were found to exhibit enhanced high performances for CO2 capture. X-ray diffraction (XRD), scanning electron microscope (SEM), N2 physical adsorption, and thermogravimetric analysis (TGA) were applied to investigate the crystalline structure, pore structure, thermal stability, and the exterior morphology of the composite. We aimed to investigate the influence of the introduction of GO on the stability of the crystal skeleton and pore structure. Water, acid, and alkali resistances were tested for physical and chemical properties of the new composites. CO2 adsorption isotherms of UiO-66, UiO-66-NH2, UiO-66/GO, and UiO-66-NH2/GO were measured at 273 K, 298 K, and 318 K. The composite UiO-66-NH2/GO exhibited better optimized CO2 uptake of 6.41 mmol/g at 273 K, which was 5.1% higher than that of UiO-66/GO (6.10 mmol/g). CO2 adsorption heat and CO2/N2 selectivity were then calculated to further evaluate the CO2 adsorption performance. The results indicated that UiO-66-NH2/GO composites have a potential application in CO2 capture technologies to alleviate the increase in temperature of the earth’s atmosphere.
Efficient live migration of virtual machines using shared storage

Live migration of virtual machines (VM) across distinct physical hosts is an important feature of virtualization technology for maintenance, load-balancing and energy reduction, especially so for data centers operators and cluster service providers. Several techniques have been proposed to reduce the downtime of the VM being transferred, often at the expense of the total migration time. In this work, we present a technique to reduce the total time required to migrate a running VM from one host to another while keeping the downtime to a minimum. Based on the observation that modern operating systems use the better part of the physical memory to cache data from secondary storage, our technique tracks the VM's I/O operations to the network-attached storage device and maintains an updated mapping of memory pages that currently reside in identical form on the storage device. During the iterative pre-copy live migration process, instead of transferring those pages from the source to the target host, the memory-to-disk mapping is sent to the target host which then fetches the contents directly from the network-attached storage device. We have implemented our approach into the Xen hypervisor and ran a series of experiments with Linux HVM guests. On average, the presented technique shows a reduction of up over 30% on average of the total transfer time for a series of benchmarks.
Drawing method can improve musculoskeletal anatomy comprehension in medical faculty student

The Chinese philosophy of Confucianism said “What I heard I forgot, what I see, I remember, what I do, I understand. ” During this time, most of the teaching and learning process relies on viewing and listening modalities only. As a result, much information does not last long in memory as well as the material understanding achieves became less deep. In studying anatomy science, drawing is one of effective important methods because it is an integration of ideas and knowledge of vision thereby increasing comprehension and learning motivation of college students. The purpose of this research is to know the musculoskeletal anatomy comprehension by drawing learning method in Medical Faculty student. This research uses observational analytic design with the cross-sectional design. Total sampling was done to the entire student of Physiotherapy Study Program in 2012, 2013, and 2014, Medical Faculty of Udayana University. The average value of musculoskeletal anatomy of the student in 2012, 2013, and 2014 sequentially are 31.67, 33.57, and 45.00, respectively. Normality test with Shapiro-Wilk and homogeneity with Levene's test showed normal results and homogeneous. One-way ANOVA test between groups showed a significant result that is 11.00 (P<0.05). It is concluded that the drawing method can improve the musculoskeletal anatomy comprehension in Medical Faculty student.
Probe substrate and enzyme source-dependent inhibition of UDP-glucuronosyltransferase (UGT) 1A9 by wogonin.

BACKGROUND Drug-metabolizing enzymes (DMEs) inhibition based drug-drug interaction and herb-drug interaction severely challenge the R&D process of drugs or herbal ingredients. OBJECTIVE To evaluate the inhibition potential of wogonin (an important flavonoid isolated from the root of Scutellaria baicalensis) towards one of the most important phase II DMEs, UDP-glucuronosyltransferase (UGT) 1A9. METHODS Both recombinant UGT1A9-catalyzed 4-methylumbelliferone (4-MU) glucuronidation reaction and human liver microsomes (HLMs)-catalyzed propofol glucuronidation reaction were used as two different probe reactions. RESULTS Wogonin noncompetitively inhibited recombinant UGT1A9-catalyzed 4-MU glucuronidation, and exerted competitive inhibition towards HLMs-catalyzed propofol glucuronidation. The inhibition kinetic parameters (Ki) were calculated to be 3.2 µM and 52. 0µM, respectively. CONCLUSION Necessary monitoring was needed when wogonin was co-administered with the clinical drugs mainly undergoing UGT1A9-mediated glucuronidation elimination. Additionally, probe reactions-dependent inhibition of wogonin towards the activity of UGT1A9 should be paid attention when translating these in vitro data into in vivo situation.
Opioid-free anesthesia for breast cancer surgery: An observational study

Background and Aims: Opioids are associated with postoperative nausea, vomiting, drowsiness, and increased analgesic requirement. A nonopioid anesthesia technique may reduce morbidity, enable day care surgery, and possibly decrease tumor recurrence. We compared opioid-free, nerve block-based anesthesia with opioid-based general anesthesia for breast cancer surgery in a prospective cohort study. Material and Methods: Twenty four adult American Society of Anesthesiologists grade I–III patients posted for modified radical mastectomy (MRM) with axillary dissection were induced with propofol and maintained on isoflurane (0.8–1.0 minimum alveolar concentration) through i-gel on spontaneous ventilation and administered ultrasound-guided PECS 1 and 2 blocks (0.1% lignocaine + 0.25% bupivacaine + 1 mcg/kg dexmedetomidine, 30 ml). Postoperative nausea, pain scores, nonopioid analgesic requirement over 24 h, stay in the recovery room, and satisfaction of surgeon and patient were studied. Twenty-four patients who underwent MRM and axillary dissection without a nerve block under routine opioid anesthesia with controlled ventilation were the controls. Results: MRM and axillary dissection under the nonopioid technique was adequate in all patients. Time in the recovery room, postoperative nausea, analgesic requirement, and visual analog scale scores were all significantly less in the nonopioid group. Surgeon and patient were satisfied with good patient quality of life on day 7. Conclusion: Nonopioid nerve block technique is adequate and safe for MRM with axillary clearance. Compared to conventional technique, it offers lesser morbidity and may allow for earlier discharge. Larger studies are needed to assess the long-term impact on chronic pain and tumor recurrence by nonopioid techniques.
The long-term effects of conductive education courses in young children with cerebral palsy: a randomized controlled trial

ABSTRACT Purpose: To assess the additional long-term effects of multiple conductive education (CE) courses followed by conventional practice on functional skills and quality of life in children with cerebral palsy (CP) compared to a 4-month CE-course delay including conventional practice. Methods: Twenty-one children with CP, 3–6 years and varied functional levels, were randomized to 3-week CE course(s) followed by conventional practice or 4 months on a waiting list, including conventional practice and followed by CE-courses. Outcomes were measured 8 and 12 months after baseline. A web-based log collected data on conventional practice. Results: We found no interaction between group assignment and time on functional skills and quality of life in children with CP at 8 and 12 months. Two thirds of the children in both groups performed a large amount of conventional practice. Conclusions: No added long-term effects of CE courses were found. Larger controlled CE studies are needed.
In utero phenotyping of mouse embryonic vasculature with MRI

The vasculature is the earliest developing organ in mammals and its proper formation is critical for embryonic survival. MRI approaches have been used previously to analyze complex three‐dimensional vascular patterns and defects in fixed mouse embryos. Extending vascular imaging to an in utero setting with potential for longitudinal studies would enable dynamic analysis of the vasculature in normal and genetically engineered mouse embryos, in vivo. In this study, we employed an in utero MRI approach that corrects for motion, using a combination of interleaved gated acquisition and serial coregistration of rapidly acquired three‐dimensional images. We tested the potential of this method by acquiring and analyzing images from wildtype and Gli2 mutant embryos, demonstrating a number of Gli2 phenotypes in the brain and cerebral vasculature. These results show that in utero MRI can be used for in vivo phenotype analysis of a variety of mutant mouse embryos. Magn Reson Med, 2011. © 2011 Wiley‐Liss, Inc.
Feedback Cancellation With Probe Shaping Compensation

Adaptive feedback cancellation methods may integrate the use of probe signals to assist with the biased optimal solution in acoustic systems working in closed-loop. However, injecting a probe noise in the loudspeaker decreases the signal quality perceived by users of assistive listening devices. To counter this, probe signals are usually shaped to provide some level of perceptual masking. In this letter we show the impact of using a shaping filter on the system behavior in terms of convergence rate and steady state error. From this study, it can be concluded that shaping the probe signal may have detrimental influence in terms of system performance. Accordingly, we propose to use the unshaped probe signal combined with an inverse filter of the shaping filter to identify the feedback channel. This restructure of the problem restores convergence rate of LMS type algorithms. Furthermore, we also show that an adequate forward path delay is required to obtain an unbiased solution and that the suggested scheme reduces this delay.
Testing Models of Low-frequency Variability Testing Models of Low-frequency Variability

The copyright to this Article is held by the Econometric Society. It may be downloaded, printed and reproduced only for educational or research purposes, including use in course packs. No downloading or copying may be done for any commercial purpose without the explicit permission of the Econometric Society. For such commercial purposes contact the Office of the Econometric Society (contact information may be found at the website http://www.econometricsociety.org or in the back cover of Econometrica). This statement must the included on all copies of this Article that are made available electronically or in any other format. 1 We develop a framework to assess how successfully standard time series models explain low-frequency variability of a data series. The low-frequency information is extracted by computing a finite number of weighted averages of the original data, where the weights are low-frequency trigonometric series. The properties of these weighted averages are then compared to the asymptotic implications of a number of common time series models. We apply the framework to twenty U.S. macroeconomic and financial time series using frequencies lower than the business cycle.