Miracle-dz/UniFAR-FTUs huggingface dataset:
Health and Quality of Life Outcomes Responsiveness of the Eq-5d in Breast Cancer Patients in Their First Year after Treatment

Background/aim: The EQ-5D is a generic health-related quality of life (HRQoL) measure that is used for the purpose of economic evaluations of health interventions. Therefore, it has to be responsive to meaningful changes in health in the patient population under investigation. The aim of this study was to investigate the responsiveness of the EQ-5D in breast cancer patients in their first year after treatment.
Primary breast cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up.

and pathological description of the frequency of mitoses. The reliability of these measurements will vary in different geographical settings. First-generation genetic signatures contain genes sampling the ER, HER2 and proliferative pathways. Meta-analysis indicates that much of the prognostic information in these signatures resides in their sampling of proliferative genes, but their respective total scores may be the only form in which information is provided at present and could be used in this component of assessment of relative indications for chemotherapy. validated multigene to add chemotherapy in cases where its use was uncertain after consideration of conventional
Joint distributed source and network coding for correlated information multicasting

The problem of correlated information multicasting is considered in this paper, i.e., from multiple sources to multiple destinations through a network. It can be solved by jointly optimizing the distributed source coding and network coding. Previous research found that optimal performance can be achieved with unlimited decoding complexity, which cannot be applied in practical implementations. Some practical methods were also presented, which shows sub-optimal performance. To improve the coding performance and keep the low complexity of the algorithm, an adaptive coding and transmission scheme according to the conditional entropy of the sources is proposed. It has been demonstrated that the proposed scheme can achieve better performance compared with the existing ones.
Identification of Ganglioside GM3 Molecular Species in Human Serum Associated with Risk Factors of Metabolic Syndrome

Serum GM3 molecular species were quantified in 125 Japanese residents using tandem mass spectrometry multiple reaction monitoring. Individuals were categorized by the presence or absence of metabolic disease risk factors including visceral fat accumulation, hyperglycemia and dyslipidemia. A total of 23 GM3 molecular species were measured, of these, eight were found to be significantly elevated in individuals with visceral fat accumulation and metabolic disease, defined as the presence of hyperglycemia and dyslipidemia. All of the GM3 molecular species were composed of the sphingoid base sphingosine (d18:1 (Δ4)) and, interestingly, six of the eight elevated GM3 molecular species contained a hydroxylated ceramide moiety. The hydroxylated GM3 species were, in order of decreasing abundance, d18:1-h24:0 ≈ d18:1-h24:1 > d18:1-h22:0 » d18:1-h20:0 > d18:1-h21:0 > d18:1-h18:1. Univariate and multiple linear regression analyses were conducted using a number of clinical health variables associated with obesity, type 2 diabetes, metabolic disease, atherosclerosis and hypertension. GM3(d18:1-h24:1) was identified as the best candidate for metabolic screening, proving to be significantly correlated with intima-media thickness, used for the detection of atherosclerotic disease in humans, and a number of metabolic disease risk factors including autotaxin, LDL-c and homeostatic model assessment insulin resistance (HOMA-IR).
Comparison of Two Optical-Density-Based Methods and a Plate Count Method for Estimation of Growth Parameters of Bacillus cereus

ABSTRACT Quantitative microbiological models predicting proliferation of microorganisms relevant for food safety and/or food stability are useful tools to limit the need for generation of biological data through challenge testing and shelf-life testing. The use of these models requires quick and reliable methods for the generation of growth data and estimation of growth parameters. Growth parameter estimation can be achieved using methods based on plate counting and methods based on measuring the optical density. This research compares the plate count method with two optical density methods, namely, the 2-fold dilution (2FD) method and the relative rate to detection (RRD) method. For model organism Bacillus cereus F4810/72, the plate count method and both optical density methods gave comparable estimates for key growth parameters. Values for the maximum specific growth rate (μmax) derived by the 2FD method and by the RRD method were of the same order of magnitude, but some marked differences between the two approaches were apparent. Whereas the 2FD method allowed the derivation of values for lag time (λ) from the data, this was not possible with the RRD method. However, the RRD method gave many more data points per experiment and also gave more data points close to the growth boundary. This research shows that all three proposed methods can be used for parameter estimation but that the choice of method depends on the objectives of the research.
Does Big 6 Auditor Industry Expertise Constrain Earnings Management

Earnings management remains a popular topic of debate and discussion among investors, regulators, analysts, and the public. One mechanism that might mitigate earnings management is auditors' industry expertise. Using a large sample of clients of Big 6 auditors, this research examines the association between auditor industry expertise, measured in terms of both auditor market share in an industry and an industry's share in the auditor's portfolio of client industries and a client's level of absolute discretionary accruals, a common proxy for earnings management. Clients of non-specialist auditors report absolute discretionary accruals that are, on average, 1.2 percent of total assets higher than the discretionary accruals reported by clients of specialist auditors. This finding is consistent with the notion that specialist auditors mitigate accruals-based earnings management more than non-specialist auditors and therefore, influence the quality of earnings.
Benchmark map of forest carbon stocks in tropical regions across three continents

Developing countries are required to produce robust estimates of forest carbon stocks for successful implementation of climate change mitigation policies related to reducing emissions from deforestation and degradation (REDD). Here we present a “benchmark” map of biomass carbon stocks over 2.5 billion ha of forests on three continents, encompassing all tropical forests, for the early 2000s, which will be invaluable for REDD assessments at both project and national scales. We mapped the total carbon stock in live biomass (above- and belowground), using a combination of data from 4,079 in situ inventory plots and satellite light detection and ranging (Lidar) samples of forest structure to estimate carbon storage, plus optical and microwave imagery (1-km resolution) to extrapolate over the landscape. The total biomass carbon stock of forests in the study region is estimated to be 247 Gt C, with 193 Gt C stored aboveground and 54 Gt C stored belowground in roots. Forests in Latin America, sub-Saharan Africa, and Southeast Asia accounted for 49%, 25%, and 26% of the total stock, respectively. By analyzing the errors propagated through the estimation process, uncertainty at the pixel level (100 ha) ranged from ±6% to ±53%, but was constrained at the typical project (10,000 ha) and national (>1,000,000 ha) scales at ca. ±5% and ca. ±1%, respectively. The benchmark map illustrates regional patterns and provides methodologically comparable estimates of carbon stocks for 75 developing countries where previous assessments were either poor or incomplete.
Deterministic Models of Software Aging and Optimal Rejuvenation Schedules

Automated modeling of software aging processes is a prerequisite for cost-effective usage of adaptive software rejuvenation as a self-healing technique. We consider the problem of such automated modeling in server-type applications whose performance degrades depending on the "work" done since last rejuvenation, for example the number of served requests. This type of performance degradation - caused mostly by resource depletion - is common, as we illustrate in a study of the popular Axis Soap server 1.3. In particular, we propose deterministic models for approximating the leading indicators of aging and an automated procedure for statistical testing of their correctness. We further demonstrate how to use these models for finding optimal rejuvenation schedules under utility functions. Our focus is on the important case that the utility function is the average of a performance metric (such as maximum service rate). We also consider optional SLA constraints under which the performance should never drop below a specified level. Our approach is verified by a study of the aging processes in the Axis Soap 1.3 server. The experiments show that the deterministic modeling technique is appropriate in this case, and that the optimization of rejuvenation schedules can greatly improve the average maximum service rate of an aging application.
Diacylglycerol Lipase Is Not Involved in Depolarization-Induced Suppression of Inhibition at Unitary Inhibitory Connections in Mouse Hippocampus

Endocannabinoids control hippocampal inhibitory synaptic transmission through activation of presynaptic CB1 receptors. During depolarization-induced suppression of inhibition (DSI), endocannabinoids are synthesized upon postsynaptic depolarization. The endocannabinoid 2-arachidonoylglycerol (2-AG) may mediate hippocampal DSI. Currently, the best studied pathway for biosynthesis of 2-AG involves the enzyme diacylglycerol lipase (DAGL). However, whether DAGL is necessary for hippocampal DSI is controversial and was not systematically addressed. Here, we investigate DSI at unitary connections between CB1 receptor-containing interneurons and pyramidal neurons in CA1. We found that the novel DAGL inhibitor OMDM-188, as well as the established inhibitor RHC-80267, did not affect DSI. As reported previously, effects of the DAGL inhibitor tetrahydrolipstatin depended on the application method: postsynaptic intracellular application left DSI intact, while incubation blocked DSI. We show that all DAGL inhibitors tested block slow self-inhibition in neocortical interneurons, which involves DAGL. We conclude that DAGL is not involved in DSI at unitary connections in hippocampus.
Prospectively Validated Dosing Nomograms for Maximizing the Pharmacodynamics of Vancomycin Administered by Continuous Infusion in Critically Ill Patients

ABSTRACT The efficacy of vancomycin against methicillin-resistant Staphylococcus aureus (MRSA)-related infections has been called into question by recent findings of higher rates of failure of vancomycin treatment of infections caused by strains with high MICs. Continuous infusion may be the best way to maximize the time-dependent activity of vancomycin. The aim of this study was to create dosing nomograms in relation to different creatinine clearance (CLCr) estimates for use in daily clinical practice to target the steady-state concentrations (Csss) of vancomycin during continuous infusion at 15 to 20 mg/liter (after the administration of an initial loading dose of 15 mg/kg of body weight over 2 h). The correlation between vancomycin clearance (CLv) and CLCr was retrospectively assessed in a cohort of critically ill patients (group 1, n = 70) to create a formula for dosage calculation to target Css at 15 mg/liter. The performance of this formula was prospectively validated in a similar cohort (group 2, n = 63) by comparison of the observed and the predicted Csss. A significant relationship between CLv and CLCr was observed in group 1 (P < 0.001). The application of the calculated formula to vancomycin dosing in group 2 {infusion rate (g/24 h) = [0.029 × CLCr (ml/min) + 0.94] × target Css × (24/1,000)} led to a significant correlation between the observed and the predicted Csss (r = 0.80, P < 0.001). Two dosing nomograms based on CLCr were created to target the vancomycin Css at 15 and 20 mg/liter in critically ill patients. These nomograms could be helpful in improving the vancomycin treatment of MRSA infections, especially in the presence of borderline-susceptible pathogens and/or of pathophysiological conditions which may enhance the clearance of vancomycin, while potentially avoiding the increased risk of nephrotoxicity observed with the use of high intermittent doses of vancomycin.
Radio sound as material culture in the home

This thesis is an anthropological exploration of the contemporary role and use of radio sound in the home in Bristol, a city in the south west of England. Based on qualitative research, and taking an ethnographic approach, this study contributes to a growing field within social anthropology: the study of mass media. After establishing the ways in which the radio industry in the UK researches and constructs radio audiences, this thesis examines how academic research on audiences has operated in Britain. It is demonstrated how this thesis relates to, and is different from both of these perspectives. Radio sound is approached as a part of the material culture of the home. It is seen to contribute to domestic soundscapes. The medium of sound is investigated, and it is shown that radio sound has particular qualities that make it well suited to domestic, everyday life. It is revealed as aiding in the creative constitution of affective dimensions of the self in society. Domestic relationships, and the role of radio sound and affect are explored. Notions of intimacy and the role of fantasy in domestic relationships are investigated. Radio sound's role in mood creation for individuals in the home is then examined, and the notion of affective rhythms established. Radio sound's connecting powers are then given some attention; how radio sound helps to make links across time and space. Memories and nostalgia are shown to operate in creative and integrated ways in domestic contexts through the medium of sound. Finally, it is concluded that cultural knowledge and experience take place in large part in the sensory and affective dimensions of everyday life.
Sporogony of Tetracapsuloides bryosalmonae in the brown trout Salmo trutta and the role of the tertiary cell during the vertebrate phase of myxozoan life cycles

SUMMARY Tetracapsuloides bryosalmonae is the myxozoan that causes the commercially and ecologically important proliferative kidney disease of salmonid fish species. Immunohistochemistry and electron microscopy were used to examine the development of this parasite within the kidney of the brown trout Salmo trutta. The main replicative phase of T. bryosalmonae is a cell doublet composed of a primary cell and a single secondary cell. Engulfment of one secondary cell by another to form a secondary-tertiary doublet (S-T doublet) heralded the onset of sporogony whereupon the parasite migrated to the kidney tubule lumen. Within the tubule, the parasite transformed into a pseudoplasmodium and anchored to the tubule epithelial cells via pseudopodial extensions. Within each pseudoplasmodium developed a single spore, composed of 4 valve cells, 2 polar capsules and 1 sporoplasm. The pseudoplasmodia formed clusters suggesting that large numbers of spores develop within the fish. This examination of T. bryosalmonae suggests that the main replicative phase of freshwater myxozoans within vertebrates is via direct replication of cell doublets rather than through the rupturing of extrasporogonic stages, while tertiary cell formation relates only to sporogony. Taken in conjunction with existing phylogenetic data, 5 distinct sporogonial sequences are identified for the Myxozoa.
Influence of CYP3A4 Inhibition on the Steady-State Pharmacokinetics of Imatinib

Purpose: To evaluate the effects of ritonavir, a potent inhibitor of CYP3A4, on the steady-state pharmacokinetics of imatinib. Experimental Design: Imatinib pharmacokinetics were evaluated in cancer patients receiving the drug for at least 2 months, after which ritonavir (600 mg) was administered daily for 3 days. Samples were obtained on the day before ritonavir (day 1) and on the third day (day 4). The in vitro metabolism of imatinib with or without ritonavir and the effect of imatinib on 1-OH-midazolam formation rate, a probe for CYP3A4 activity, were evaluated with human CYP3A4 and pooled liver microsomes. Results: In 11 evaluable patients, the geometric mean (95% confidence interval) area under the curve of imatinib on days 1 and 4 were 42.6 (33.0-54.9) μg·h/mL and 41.2 (32.1-53.1) μg·h/mL, respectively (P = 0.65). A population analysis done in NONMEM with a time-dependent covariate confirmed that ritonavir did not influence the clearance or bioavailability of imatinib. In vitro, imatinib was metabolized to the active metabolite CGP74588 by CYP3A4 and CYP3A5 and, to a lesser extent, by CYP2D6. Ritonavir (1 μmol/L) completely inhibited CYP3A4-mediated metabolism of imatinib to CGP74588 but inhibited metabolism in microsomes by only 50%. Imatinib significantly inhibited CYP3A4 activity in vitro. Conclusion: At steady state, imatinib is insensitive to potent CYP3A4 inhibition and relies on alternate elimination pathways. For agents with complex elimination pathways that involve autoinhibition, interaction studies that are done after a single dose may not be applicable when drugs are administered chronically.
How Deep is the Feature Analysis underlying Rapid Visual Categorization?

Rapid categorization paradigms have a long history in experimental psychology: Characterized by short presentation times and speedy behavioral responses, these tasks highlight the efficiency with which our visual system processes natural object categories. Previous studies have shown that feed-forward hierarchical models of the visual cortex provide a good fit to human visual decisions. At the same time, recent work in computer vision has demonstrated significant gains in object recognition accuracy with increasingly deep hierarchical architectures. But it is unclear how well these models account for human visual decisions and what they may reveal about the underlying brain processes. We have conducted a large-scale psychophysics study to assess the correlation between computational models and human participants on a rapid animal vs. non-animal categorization task. We considered visual representations of varying complexity by analyzing the output of different stages of processing in three state-of-the-art deep networks. We found that recognition accuracy increases with higher stages of visual processing (higher level stages indeed outperforming human participants on the same task) but that human decisions agree best with predictions from intermediate stages. Overall, these results suggest that human participants may rely on visual features of intermediate complexity and that the complexity of visual representations afforded by modern deep network models may exceed those used by human participants during rapid categorization.
Exclusive Endoscopic Resection of Nasopharyngeal Papillary Adenocarcinoma via Combined Transnasal and Transoral Approach

Low grade nasopharyngeal papillary adenocarcinoma (LGNPPA) is an extremely rare variant of nasopharyngeal cancer, which exhibits distinct clinicopathological characteristics. Surgical resection has been regarded as the principal treatment. For this, transpalatal or transfacial approach has been classically used for exposure of the field. Up for now, there has been no report on applying endoscopic approach for this disease, which could be an effective alternative to minimize possible morbidities of palatotomy or maxillotomy. Endoscopic approach can be justified considering narrow extent and indolent behavior of LGNPPA. We report a patient with LGNPPA, which was successfully resected exclusively by endoscopic visualization. Our case exhibited narrow-based exophytic features with compatible immunopathologic profiles of LGNPPA. Exclusive endoscopic resection can be effective and less-morbid modality for this rare disease as in this case.
Influence of Pistachios on Performance and Exercise-Induced Inflammation, Oxidative Stress, Immune Dysfunction, and Metabolite Shifts in Cyclists: A Randomized, Crossover Trial

Objectives Pistachio nut ingestion (3 oz./d, two weeks) was tested for effects on exercise performance and 21-h post-exercise recovery from inflammation, oxidative stress, immune dysfunction, and metabolite shifts. Methods Using a randomized, crossover approach, cyclists (N = 19) engaged in two 75-km time trials after 2-weeks pistachio or no pistachio supplementation, with a 2-week washout period. Subjects came to the lab in an overnight fasted state, and ingested water only or 3 oz. pistachios with water before and during exercise. Blood samples were collected 45 min pre-exercise, and immediately post-, 1.5-h post-, and 21-h post-exercise, and analyzed for plasma cytokines, C-reactive protein (CRP), F2-isoprostanes (F2-IsoP), granulocyte phagocytosis (GPHAG) and oxidative burst activity (GOBA), and shifts in metabolites. Results Performance time for the 75-km time trial was 4.8% slower under pistachio conditions (2.84±0.11 and 2.71±0.07 h, respectively, P = 0.034). Significant time effects were shown for plasma cytokines, CRP, F2-IsoP, GPHAG, and GOBA, with few group differences. Metabolomics analysis revealed 423 detectable compounds of known identity, with significant interaction effects for 19 metabolites, especially raffinose, (12Z)-9,10-Dihydroxyoctadec-12-enoate (9,10-DiHOME), and sucrose. Dietary intake of raffinose was 2.19±0.15 and 0.35±0.08 mg/d during the pistachio and no pistachio periods, and metabolomics revealed that colon raffinose and sucrose translocated to the circulation during exercise due to increased gut permeability. The post-exercise increase in plasma raffinose correlated significantly with 9,10-DiHOME and other oxidative stress metabolites. Conclusions In summary, 2-weeks pistachio nut ingestion was associated with reduced 75-km cycling time trial performance and increased post-exercise plasma levels of raffinose, sucrose, and metabolites related to leukotoxic effects and oxidative stress. Trial Registration ClinicalTrials.gov NCT01821820
How Important is Money in the Conduct of Monetary Policy?

I consider some of the leading arguments for assigning an important role to tracking the growth of monetary aggregates when making decisions about monetary policy. First, I consider whether ignoring money means returning to the conceptual framework that allowed the high inflation of the 1970s. Second, I consider whether models of inflation determination with no role for money are incomplete, or inconsistent with elementary economic principles. Third, I consider the implications for monetary policy strategy of the empirical evidence for a long-run relationship between money growth and inflation. And fourth, I consider reasons why a monetary policy strategy based solely on short-run inflation forecasts derived from a Phillips curve may not be a reliable way of controlling inflation. I argue that none of these considerations provides a compelling reason to assign a prominent role to monetary aggregates in the conduct of monetary policy.