Miracle-dz/UniFAR-FTUs huggingface dataset:
Field experiences with measurements of dielectric response in frequency domain for power transformer diagnostics

Some new methods, based on characterization of the dielectric response of transformer insulation in time and frequency domains, have been pointed out by CIGRE as suitable to assess moisture content in pressboard and paper. Measuring devices available today on the market are quite robust in field conditions; however there is a risk that undesired internal and external factors might influence the measurements. These influences can lead to mistaken interpretation of insulation wetness. Operators should therefore be aware of the risks appearing at different measuring conditions and of the precautions that can be taken to minimize their effects. This work presents a systematic investigation on the influence of some factors on the results of dielectric response measurements in field conditions. The errors that can be committed during the measurements if certain precautions are not taken, with different equipment connected in parallel, are evaluated. The influence of rain and electromagnetic disturbances are also analyzed proposing solutions to attenuate their effects. Finally, a discussion on the influence of temperature distribution follows. The work is concentrated on frequency response measurements, although some results from the use of polarization and depolarization current technique are also discussed.
Herschel Hi-GAL imaging of massive young stellar objects

We used Herschel Hi-GAL (Herschel infrared Galactic Plane survey) data to determine whether massive young stellar objects (MYSOs) are resolved at 70 μm and to study their envelope density distribution. Our analysis of three relatively isolated sources in the l = 30° and 59° Galactic fields show that the objects are partially resolved at 70 μm. The Herschel Hi-GAL survey data have a high scan velocity which makes unresolved and partially resolved sources appear elongated in the 70 μm images. We analysed the two scan directions separately and examine the intensity profile perpendicular to the scan direction. Spherically symmetric radiative transfer models with a power-law density distribution were used to study the circumstellar matter distribution. Single dish submm data were also included to study how different spatial information affects the fitted density distribution. The density distribution which best fits both the 70 μm intensity profile and spectral energy distribution has an average index of ∼0.5. This index is shallower than expected and is probably due to the dust emission from bipolar outflow cavity walls not accounted for in the spherical models. We conclude that 2D axisymmetric models and Herschel images at low scan speeds are needed to better constrain the matter distribution around MYSOs.
Comments on “Cannabimimetic Properties of Ajulemic Acid”

This is a commentary on recent preclinical findings of ajulemic acid (AJA), also known as CT-3, suggesting an unfavorable therapeutic index as an analgesic ([Burstein, 2007][1]; [Wiley, 2007][2]). In contrast to the preclinical findings, the one available clinical trial using a crossover design with
Green composites of organic materials and recycled post-consumer polyethylene

Addition of organic fillers to post‐consumer recycled plastics can give rise to several advantages. First of all, the cost of these fillers is usually very low, the organic fillers are biodegradable contributing to an improved environmental impact and, last but not least, some mechanical and thermomechanical properties can be enhanced. Organic fillers are not widely used in the plastic industry although their use is increasing. Bad dispersion into the polymer matrix at high‐level content and poor adhesion with the matrix are the more important obstacles to this approach. In this work various organic fillers have been used with a post‐consumer plastic material originating from films for greenhouses. The properties of these green composites have been compared with those of materials filled with a conventional inorganic filler. The organic fillers cause slightly worse processability, due to an increase of viscosity, an enhancement of the rigidity and of the thermomechanical resistance similar to that measured for the inorganic filler, while a reduction of the impact strength is observed. Copyright © 2004 Society of Chemical Industry.
Antidiabetic activity of Croton klozchianus in rats and direct stimulation of insulin secretion in‐vitro

Croton klozchianus is a relatively uninvestigated species with no pharmacological or phytochemical reports available, although it has been used clinically by Ayurvedic physicians to treat diabetes. We have investigated this use by studying the insulin secretion and antidiabetic activity of C. klozchianus. Treatment of diabetic rats with aerial parts of C. klozchianus extract (CK, 100 and 300 mg kg−1 body weight) for three weeks showed significant reduction in blood glucose (45.8% after 14 days for 300 mg kg−1). C. klozchianus extract caused a significant concentration‐dependent increase in insulin secretion (8‐fold at 2 mg mL−1 for cells challenged with 20 mm glucose) from MIN6 cells grown as monolayers and as pseudoislets, indicating that the antidiabetic activity may have been as a result of increased insulin secretion. It also had a role on the lipid profile of the rats by causing reduction in cholesterol and triglycerides and increasing high density lipoprotein significantly. The results obtained gave some scientific support to the traditional use of the plant as a treatment for diabetes.
Denoising Criterion for Variational Auto-Encoding Framework

Denoising autoencoders (DAE) are trained to reconstruct their clean inputs with noise injected at the input level, while variational autoencoders (VAE) are trained with noise injected in their stochastic hidden layer, with a regularizer that encourages this noise injection. In this paper, we show that injecting noise both in input and in the stochastic hidden layer can be advantageous and we propose a modified variational lower bound as an improved objective function in this setup. When input is corrupted, then the standard VAE lower bound involves marginalizing the encoder conditional distribution over the input noise, which makes the training criterion intractable. Instead, we propose a modified training criterion which corresponds to a tractable bound when input is corrupted. Experimentally, we find that the proposed denoising variational autoencoder (DVAE) yields better average log-likelihood than the VAE and the importance weighted autoencoder on the MNIST and Frey Face datasets.
Jodothyronine Metabolism in Rat Liver Homogenates

A B S T R A C T To investigate mechanisms of extrathyroidal thyroid hormone metabolism, conversion of thyroxine (T4) to 3,5,3'-triiodothyronine (T3) and degradation of 3,3',5'-triiodothyronine (rT3) were studied in rat liver homogenates. Both reactions were enzymatic. For conversion of T4 to T3, the Km of T4 was 7.7 ,uM, and the Vmax was 0.13 pmol T3/min per mg protein. For rT3 degradation, the Km of rT3 was 7.5 nM, and the Vmax was 0.36 pmol rTJmin per mg protein. Production of rT3 or degradation of T4 or T3 was not detected under the conditions employed. rT3 was a potent competitive inhibitor of T4 to T3 conversion with a Ki of 4.5 nM; 3,3'-diiodothyronine was a less potent inhibitor ofthis reaction. T4 was a competitive inhibitor of rT3 degradation with a Ki of 10.2 ,uM. Agents which inhibited both reactions included propylthiouracil, which appeared to be an allosteric inhibitor, 2,4-dinitrophenol, and iopanoic acid. Sodium diatrizoate had a weak inhibitory effect. No inhibition was found with a-methylparatyrosine, Fe+2, Fe+3, reduced glutathione,,81-hydroxybutyrate, or oleic acid. Fasting in T4 to T3 conversion and rT3 by rat liver which reversible after refeeding. Serum T4, T3, and thyrotropin fasting, no decrease in serum protein as assessed by a T3-charcoal no change in serum rT3 no effect in In vivo after 1 days, in or thyrotropin from control animals to allow results from different groups of rats and data from different assays to be compared.
Fibonacci family of dynamical universality classes

Significance Universality is a well-established central concept of equilibrium physics. It asserts that, especially near phase transitions, the properties of a physical system do not depend on its details such as the precise form of interactions. Far from equilibrium, such universality has also been observed, but, in contrast to equilibrium, a deeper understanding of its underlying principles is still lacking. We show that the two best-known examples of nonequilibrium universality classes, the diffusive and Kardar−Parisi−Zhang classes, are only part of an infinite discrete family. The members of this family can be identified by their dynamical exponent, which, surprisingly, can be expressed by a Kepler ratio of Fibonacci numbers. This strongly indicates the existence of a simpler underlying mechanism that determines the different classes. Universality is a well-established central concept of equilibrium physics. However, in systems far away from equilibrium, a deeper understanding of its underlying principles is still lacking. Up to now, a few classes have been identified. Besides the diffusive universality class with dynamical exponent z=2, another prominent example is the superdiffusive Kardar−Parisi−Zhang (KPZ) class with z=3/2. It appears, e.g., in low-dimensional dynamical phenomena far from thermal equilibrium that exhibit some conservation law. Here we show that both classes are only part of an infinite discrete family of nonequilibrium universality classes. Remarkably, their dynamical exponents zα are given by ratios of neighboring Fibonacci numbers, starting with either z1=3/2 (if a KPZ mode exist) or z1=2 (if a diffusive mode is present). If neither a diffusive nor a KPZ mode is present, all dynamical modes have the Golden Mean z=(1+5)/2 as dynamical exponent. The universal scaling functions of these Fibonacci modes are asymmetric Lévy distributions that are completely fixed by the macroscopic current density relation and compressibility matrix of the system and hence accessible to experimental measurement.
Blue Light‐induced Chloroplast Avoidance and Phototropic Responses Exhibit Distinct Dose Dependency of PHOTOTROPIN2 in Arabidopsis thaliana

PHOTOTROPIN2 (PHOT2) is a unique photoreceptor involved in chloroplast avoidance movement and also regulates blue light (BL) responses, such as phototropism and leaf flattening, together with PHOTOTROPIN1 (PHOT1) in Arabidopsis thaliana. Previous work showed that the defect of the phot2‐1 mutant in chloroplast avoidance movement was a semidominant trait. In the present study, we examined PHOT2 dose dependency of BL responses using the phot1‐5 phot2‐1 double mutant expressing an AtPHOT2‐GFP (P2G) fusion protein. Chloroplast avoidance and phototropic responses of P2G transgenic lines were enhanced in a manner dependent on the P2G levels, whereas the leaf flattening phenotype was simply complemented by P2G equivalent to the wild type (WT) PHOT2 level. The chloroplast avoidance velocity of P2G transgenic lines exhibited enhanced sensitivity to BL in comparison with WT. In contrast, the defect of the phototropic response was rescued by P2G expression equivalent only to the response of the phot1 mutant. These results collectively indicate that each BL response has distinct threshold levels of PHOT2 requirement.
Risk Factors for Anastomotic Leakage After Colectomy

BACKGROUND: Anastomotic leakage is a morbid and potentially fatal complication of colorectal surgery. Determination of pre- and intraoperative risk factors may identify patients requiring increased postoperative surveillance for this major complication. OBJECTIVE: The purpose of this study was to identify risk factors associated with anastomotic leakage after colectomy with primary intra-abdominal anastomosis. DESIGN: The prospective, statewide multicenter Michigan Surgical Quality Collaborative database was analyzed. SETTING: This study was performed at academic and community medical centers in the state of Michigan. PATIENTS: Included were all cases of open and laparoscopic colectomy with primary intra-abdominal anastomosis from 2007 through 2010. MAIN OUTCOME MEASURES: Univariate analysis followed by a multivariate logistic regression model was used to determine the influence of patient factors and operative events with respect to the incidence of postoperative anastomotic leakage. RESULTS: Inclusion criteria were met by 4340 cases. Anastomotic leakage occurred in 85 (3.2%) of the 2626 (60.5%) open colectomies, and in 51 (3.0%) of the 1714 (39.5%) laparoscopic procedures, which was not significantly different (p = 0.63). Significant risk factors associated with anastomotic leakage based on the multivariate logistic regression model were fecal contamination with OR 2.51, 95% CI, 1.16 to 5.45, p = 0.02; and intraoperative blood loss of more than 100 mL and 300 mL, with OR 1.62, 95% CI, 1.10 to 2.40, p = 0.02; and OR 2.22, 95% CI, 1.32 to 3.76, p = 0.003. LIMITATIONS: The Michigan Surgical Quality Collaborative colectomy project excluded high-risk rectal resections and low pelvic anastomoses. Information about operative technique and intraoperative events is limited, and anastomotic leakage was determined through chart review. CONCLUSION: Fecal contamination and increased blood loss during colectomy should raise suspicion for potential postoperative anastomotic leakage.
Comparing 3 techniques for eliciting patient values for decision making about prostate-specific antigen screening: a randomized controlled trial.

IMPORTANCE To make good decisions about prostate-specific antigen (PSA) screening, men must consider how they value the different potential outcomes. OBJECTIVE To determine the effects of different methods of helping men consider such values. DESIGN AND SETTING Randomized trial from October 12 to 27, 2011, in the general community. PARTICIPANTS A total of 911 men aged 50 to 70 years from the United States and Australia who had average risk. Participants were drawn from online panels from a survey research firm in each country and were randomized by the survey firm to 1 of 3 values clarification methods: a balance sheet (n = 302), a rating and ranking task (n = 307), or a discrete choice experiment (n = 302). INTERVENTION Participants underwent a values clarification task and then chose the most important attribute. MAIN OUTCOME MEASURES The main outcome was the difference among groups in the most important attribute. Secondary outcomes were differences in unlabeled test preference and intent to undergo screening with PSA. RESULTS The mean age was 59.8 years; most participants were white and more than one-third had graduated from college. More than 40% reported a PSA test within 12 months. The participants who received the rating and ranking task were more likely to report reducing the chance of death from prostate cancer as being most important (54.4%) compared with those who received the balance sheet (35.1%) or the discrete choice experiment (32.5%) (P < .001). Those receiving the balance sheet were more likely (43.7%) to prefer the unlabeled PSA-like option (as opposed to the "no screening"-like option) compared with those who received rating and ranking (34.2%) or the discrete choice experiment (20.2%). However, the proportion who intended to undergo PSA testing was high and did not differ between groups (balance sheet, 77.1%; rating and ranking, 76.8%; and discrete choice experiment, 73.5%; P = .73). CONCLUSIONS AND RELEVANCE Different values clarification methods produce different patterns of attribute importance and different preferences for screening when presented with an unlabeled choice. Further studies with more distal outcome measures are needed to determine the best method of values clarification, if any, for decisions such as whether to undergo screening with PSA.
Model T++: an empirical joint space-time registration model

We present an empirical registration model derived from the WLAN registration patterns of the mobile users. There exist models that accurately describe individually the spatial and temporal aspects of user registration, and demonstrate the importance of this modeling. The main distinction of the new model from the previous empirical models is that we are able to formulate the inter-dependence of space and time explicitly by a set of few equations. Our extensive studies of the WLAN traces indicate that a simple but proper notion of popularity radient suffices to capture the correlation across space and time. Indeed, when locations (i.e., AP coverage area) are differentiated with respect to the number of visits they are receiving (i.e., AP popularity), the time spent at each location i before user moves from i to k turns out to be closely related to the difference of popularity between locations i and k This observation led to the design of a joint time-space registration model (referred to as ModelT++) that builds upon the Model T, which itself models only the space aspect of the registration, but is derived from the same campus WiFi network. As part of the process of generating a joint space-time model, we further extend spatial aspects of the Model T. We evaluate our model using various metrics against a random walk model as well as the Model T by superimposing location independent time series on these space-only registration models. Our results suggest that with a slight increase in the model complexity, our joint time-space registration model is able to better capture the real network registration than the independent time models. Model T++ can be easily integrated into both WLAN and multi-hop wireless mesh network simulations that require realistic registration models.
A global decentralized control strategy for urban vehicle platooning using monocular vision and a laser rangefinder

To address traffic saturation in cities, new ldquourban transportation systemsrdquo, based on electric vehicles in free-access, are in developing. One necessary functionality of such systems is their ability to move in a platoon fashion. A global decentralized platoon control strategy, supported by inter-vehicle communications, is addressed in this paper, relying on nonlinear control techniques. The main interest in a global approach is that servoing error accumulation can be avoided, whatever the platoon length. However, absolute vehicle localization is then required. In urban applications, cameras are realistic sensors, but localization is supplied in a 3D visual virtual world, slightly distorted w.r. t. the actual metric one. To enable accurate guidance, local corrections to the visual world are here computed from the data supplied by a laser rangefinder mounted on the second vehicle, and then shared with the whole platoon. Full-scale experiments demonstrate the performance of the proposed approach.
Utilization patterns of diagnostic imaging across the late life course: A population-based study in Ontario, Canada

Objectives: Due to the aging baby boom population, utilization rates of diagnostic imaging (i.e., X-ray, CT, and MRI scanning) have risen rapidly relative to other health services. The aim of this study is to investigate the utilization patterns of outpatient diagnostic imaging services (X-ray, CT, and MRI) across the late life course (65 years and older). Methods: A population-based retrospective cohort study was conducted for the period April 1, 2005, to March 31, 2006. All Ontario residents aged 65+ and eligible for government health insurance were included in the analysis. Results: Utilization of diagnostic imaging followed an inverted U-pattern: increasing with advancing age, peaking in the 80–84 age group for CT scans and in the 70–74 age group for MRI and X-rays, and then declining in the later years. Overall, females received significantly more X-rays than males (p < .01), but males received significantly more CT and MRI scans (p < .01). A small proportion of high-users of radiology services accounted for a large proportion of overall utilization. Finally, our analysis revealed that a disproportionately large proportion of high-users of MRI services were in the highest SES quintile. No SES differences were observed for X-ray or CT scans. Conclusions: Population aging will lead to increased demand for healthcare services. Utilization of outpatient diagnostic imaging services is associated with age, gender, and SES. Given the increasing demand and the limited resources available, there may be a need for programs to target underserved populations to reduce remediable inequities. Whereas patient-level decisions regarding the use of diagnostic imaging are rightfully determined on the basis of clinical factors, allocation decisions should also be informed by the ethical principles of equity and fairness.
Increased resting energy expenditure in patients with end-stage renal disease.

BACKGROUND Protein-calorie malnutrition is a significant problem for patients with end-stage renal disease. Increased resting energy expenditure may be an important contributing factor. We postulate that resting energy expen diture in the different stages of renal disease and treatments may be different. METHODS Resting energy expenditure was measured using a whole-room indirect calorimeter (metabolic chamber) along with nutritional parameters and body composition after 12-hour fasting in 15 patients with advanced chronic renal failure patients, 15 patients on chronic hemodialysis, and 10 patients on peritoneal dialysis. Patients on hemodialysis were assessed on a non-dialysis day. A 2-day dietary recall was used to assess energy intake. RESULTS Resting energy expenditure, adjusted for fat-free mass, was similar in patients on hemodialysis and peritoneal dialysis but significantly higher than in patients with chronic renal failure (p < .05). Resting energy expenditure in all patients were generally higher (10% to 20%) than predicted values using standard equations derived in normal and obese populations, whereas daily energy intake was less (26% to 34%) than energy expenditure for all groups, adjusted for light daily activity. CONCLUSIONS End-stage renal disease patients displayed increases in resting energy expenditure over the predicted values derived using normal populations. Resting energy expenditure was significantly higher in patients receiving dialysis, regardless of the modality, than patients with chronic renal failure. Daily energy intake was substantially less than required in all patient groups studied, suggesting that patients with renal failure could develop protein-calorie malnutrition because of increased resting energy expenditure, which is exacerbated by dialysis.
Carbonation in Concrete Infrastructure in the Context of Global Climate Change: Model Refinement and Representative Concentration Pathway Scenario Evaluation

AbstractA number of recent studies have identified and begun to quantify increased susceptibility of the infrastructure to climate change–induced carbonation of reinforced concrete. In this paper, the results of a study are presented which uses an updated empirical model to predict the diffusion coefficient of carbon dioxide (CO2) in concrete and thereafter, predict carbonation depths for a number of urban environments in the United States. Data from newer climate forecasts from the 5th Intergovernmental Panel on Climate Change assessment report are used to generate predictions for carbonation depths in four U.S. cities of varying geographic and climatic conditions (Los Angeles, Houston, Chicago, New York City). Results confirm that carbonation depths will increase in the future because of climate change. The magnitude of the increase is dependent on the climate-change scenario considered and the geographic location of the city. Whether or not the increases will require building code changes to increase c.