Miracle-dz/UniFAR-FTUs huggingface dataset:
Fabrication of Polyimide‐Blend Thin Films Containing Uniformly Oriented Silver Nanorods and Their Use as Flexible, Linear Polarizers

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Menopausal Hormone Therapy and Risk of Clinical Breast Cancer Subtypes

Background: Breast cancer is a heterogeneous disease with subtypes that may vary in their etiologies. Menopausal hormone therapy has been associated more strongly with lobular and tubular than ductal histologic types and with tumors that are smaller, hormone receptor–positive, and of lower grade. At the same time, correlations have been observed between histology and clinical characteristics. To identify those tumor subtypes most strongly associated with hormone therapy use, it is necessary to disentangle these interrelationships. Methods: Based on 3,464 postmenopausal breast cancer cases and 6,657 controls from the population-based Mammary carcinoma Risk factor Investigation study, we used polytomous logistic regression to evaluate associations between hormone therapy use and risk of invasive breast cancer subtypes. We assessed variations in risk for selected tumor characteristics among histologic and hormone receptor subtypes, both overall and for specific hormone therapy regimens. Results: Lobular and mixed types showed less variation by prognostic factors than did ductal tumors. Current hormone therapy use had the strongest associations with prognostic variables in estrogen receptor (ER)-positive and/or progesterone receptor (PR)-positive ductal tumors and in lobular tumors regardless of ER/PR status, with little effect on ER/PR-negative ductal tumors. The observed associations varied minimally by hormone therapy type or regimen. Conclusion: Current hormone therapy use was associated with more favorable breast cancer characteristics for ductal tumors but had less effect on prognostic characteristics in women with lobular tumors. Both histologic type and estrogen receptor/progesterone receptor status seem to be important in explaining the role of hormone therapy in the etiology of breast cancer subtypes. (Cancer Epidemiol Biomarkers Prev 2009;18(4):1188–96)
Effective Approaches to Improve the Electrical Conductivity of PEDOT:PSS: A Review

The rapid development of novel organic technologies has led to significant applications of the organic electronic devices such as light‐emitting diodes, solar cells, and field‐effect transistors. There is a great need for conducting polymers with high conductivity and transparency to act as the charge transport layer or electrical interconnect in organic devices. Poly(3,4‐ethylenedioxythiophene): poly(styrenesulfonic acid) (PEDOT:PSS), well‐known as the most remarkable conducting polymer, has this role owing to its good film‐forming properties, high transparency, tunable conductivity, and excellent thermal stability. In this Review, various of interesting physical and chemical approaches that can effectively improve the electrical conductivity of PEDOT:PSS are summarized, focusing especially on the mechanism of the conductivity enhancement as well as applications of PEDOT:PSS films. Prospects for future research efforts are also provided. It is expected that PEDOT:PSS films with high conductivity and transparency could be the focus of future organic electronic materials breakthroughs.
The role of comorbidities in patients’ hypertension self-management

Objective We sought to understand barriers to hypertension self-management in patients with hypertension and comorbidities. Methods We conducted semi-structured, qualitative interviews with 48 patients with uncontrolled hypertension and at least one comorbidity to learn about beliefs and behaviors that might affect hypertension self-management. Using a grounded theory strategy, we analyzed interview transcripts detailing patients’ hypertension self-management behaviors vis-à-vis a framework including Explanatory Models—a patient’s understanding of the pathophysiology, cause, course, treatment, and severity of an illness, such as hypertension. Results We identified four factors that interfered with hypertension self-management. (1) Interdependence: Participants saw hypertension as interconnected to their comorbidities and subsequently had difficulty separating information about their illnesses. (2) Low priority: Compared to other conditions, participants assigned hypertension a lower priority. (3) Conflicts: Participants struggled with conflicts between hypertension self-management practices and those for comorbidities. (4) Managing multiple medications: Polypharmacy led to patients’ confusion and concern about taking medications as prescribed. Discussion Participants did not experience hypertension as a discreet clinical condition; rather, they self-managed hypertension concurrently with other conditions, leading to a breakdown in hypertension self-management. We provide strategies to address each of the four barriers to better equip providers in addressing their clinically salient concerns.
Improving index performance through prefetching

This paper proposes and evaluate Prefetching B+-Trees (pB+-Trees), which use prefetching to accelerate two important operations on B+-Tree indices: searches and range scans. To accelerate searches, pB+-Trees use prefetching to effectively create wider nodes than the natural data transfer size: e.g., eight vs. one cache lines or disk pages. These wider nodes reduce the height of the B+-Tree, thereby decreasing the number of expensive misses when going from parent to child without significantly increasing the cost of fetching a given node. Our results show that this technique speeds up search and update times by a factor of 1.21-1.5 for main-memory B+-Trees. In addition, it outperforms and is complementary to “Cache-Sensitive B+-Trees. ” To accelerate range scans, pB+-Trees provide arrays of pointers to their leaf nodes. These allow the pB+-Tree to prefetch arbitrarily far ahead, even for nonclustered indices, thereby hiding the normally expensive cache misses associated with traversing the leaves within the range. Our results show that this technique yields over a sixfold speedup on range scans of 1000+ keys. Although our experimental evaluation focuses on main memory databases, the techniques that we propose are also applicable to hiding disk latency.
Inhibition of IL-1β and TNF-α Secretion from Resting and Activated Human Immunocytes by the Homeopathic Medication Traumeel® S

Abstract Traumeel® S (Traumeel), a mixture of highly diluted (10-1-10-9) extracts from medicinal plants and minerals is widely used in humans to relieve trauma, inflammation and degenerative processes. However, little is known about its possible effects on the behavior of immune cells. The effects of Traumeel were examined in vitro on the ability of resting and PHA-, PMA- or TNF-α-activated human T cells, monocytes, and gut epithelial cells to secrete the prototypic pro-inflammatory mediators IL-1β, TNF-α and IL-8 over a period of 24-72 h. Traumeel inhibited the secretion of all three agents in resting, as well as activated immune cells. IL-β secretion was reduced by up to 70% in both resting and activated cells; TNF-α secretion was reduced by up to 65 and 54%, respectively, and IL-8 secretion was reduced by 50% in both resting and activated cells (P<0.01 for all cells). Interestingly, the effect appeared to be inversely dose-related; maximal inhibition (usually 30-60% inhibition; P<0.01) was seen with dilutions of 10-3-10-6 of the Traumeel stock material. This finding suggests that Traumeel does not inhibit immune cells functions by exerting a toxic effect. Indeed, Traumeel did not affect T cell and monocyte proliferation. Although additional studies are needed to clarify the mode of action of Traumeel and to demonstrate causative relationship between the inhibition of cytokine/chemokine secretion in cell culture and the reported clinical effects of the preparation, our in vitro results offer a mechanism for the anti-inflammatory effects of Traumeel observed in clinical use.
Comparing example-based and statistical machine translation

In previous work (Gough and Way 2004), we showed that our Example-Based Machine Translation (EBMT) system improved with respect to both coverage and quality when seeded with increasing amounts of training data, so that it significantly outperformed the on-line MT system Logomedia according to a wide variety of automatic evaluation metrics. While it is perhaps unsurprising that system performance is correlated with the amount of training data, we address in this paper the question of whether a large-scale, robust EBMT system such as ours can outperform a Statistical Machine Translation (SMT) system. We obtained a large English-French translation memory from Sun Microsystems from which we randomly extracted a near 4K test set. The remaining data was split into three training sets, of roughly 50K, 100K and 200K sentence-pairs in order to measure the effect of increasing the size of the training data on the performance of the two systems. Our main observation is that contrary to perceived wisdom in the field, there appears to be little substance to the claim that SMT systems are guaranteed to outperform EBMT systems when confronted with ‘enough’ training data. Our tests on a 4.8 million word bitext indicate that while SMT appears to outperform our system for French-English on a number of metrics, for English-French, on all but one automatic evaluation metric, the performance of our EBMT system is superior to the baseline SMT model.
RangeTree: A Feature Selection Algorithm for C4.5 Decision Tree

In order to conduct fine-grained network management in mobile network, Traffic Classification or Detection is widely used to divide network traffic into different classes, according to their source applications. Many techniques are exploited in Traffic Classification. Among them, machine learning has grown considerably attention because of its accuracy. Feature selection chooses feature combinations for machine learning algorithms, and has significant influence on the accuracy and efficiency. To discover optimal features, all possible combinations need to be evaluated by testing real classifiers. With numerous features, feature selection can cost an abundance of time and computational resources. This paper proposes a feature selection algorithm for C4.5 Decision Tree. This algorithm utilizes structural characteristics of C4.5 algorithm to exclude some of the combinations without actually testing the classifiers. The simulation results demonstrate that the algorithm can reduce the number of tests in seeking the optimal feature combination.
Systemic Immunological Response to Exercise in Patients with Chronic Obstructive Pulmonary Disease: What Does It Mean?

Chronic obstructive pulmonary disease (COPD) is no longer seen as a pulmonary disease, but is increasingly associated with systemic effects with important clinical relevance. Systemic immunological changes in COPD patients are characterized by an increased number of circulating inflammatory cells, functional changes of the inflammatory cells, elevated plasma levels of cytokines, and oxidative stress. Physical exercise induces an abnormal systemic inflammatory and oxidative response in COPD patients, which is seen in both the circulation and the peripheral muscles. Although mechanisms and consequences of these effects are not yet fully understood, they could be harmful in COPD patients by inducing damage or functional changes in, for example, skeletal muscles. Whether these changes of the immune system can also affect the susceptibility to infections in these patients is unknown. The concept of COPD as a systemic rather than only a pulmonary disease also opens new perspectives on the development for new therapeutic interventions. The effects of new antioxidative and anti-inflammatory agents are investigated. A better understanding of the complexity of the systemic effects will aid the development of new therapies and management strategies for patients with COPD.
Characterizing the dual mixed volume via additive functionals

Integral representations are obtained of positive additive functionals on finite products of the space of continuous functions (or of bounded Borel functions) on a compact Hausdorff space. These are shown to yield characterizations of the dual mixed volume, the fundamental concept in the dual Brunn-Minkowski theory. The characterizations are shown to be best possible in the sense that none of the assumptions can be omitted. The results obtained are in the spirit of a similar characterization of the mixed volume in the classical Brunn-Minkowski theory, obtained recently by Milman and Schneider, but the methods employed are completely different.
Different measures of body weight as predictors of sickness absence

Aims: Excessive weight is associated with increased sickness absence from work due to obesity-linked health problems. However, it is not known which obesity measure best predicts sickness absence. First, we aimed to compare body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR) as predictors of sickness absence spells of various lengths. Second, we aimed to compare BMI based on self-reported and measured weight and height as a predictor of sickness absence to assess the validity of self-reported BMI. Methods: The participants were 5750 employees of the City of Helsinki, aged 40–60 years, who were followed up on average for 4.8 years using the employer’s register. Sickness absence spells were classified as self-certified short (1–3 days), medically certified medium length (4–14 days), and long (>14 days) absence spells. Results: All measures of body weight predicted sickness absence. The relative rates of long sickness absence in the highest quintile as compared to the lowest quintile varied in women from 1.62 (95% CI 1.35–1.94) to 1.89 (95% CI 1.62–2.23) and in men from 1.40 (95% CI 0.76–2.59) to 2.33 (95% CI 1.32–4.11). Differences in the predictive power of BMI and WC were small: both were more strongly associated with sickness absence than WHR. Self-reported BMI performed equally well as measured BMI. Conclusions: BMI – measured or self-reported – is a valid anthropometric indicator of body weight and predictor of obesity-associated health-risks. Its use is feasible for research purposes as well as for the assessment of weight-related risks to work ability.
Alternate Bearing in Citrus: Changes in the Expression of Flowering Control Genes and in Global Gene Expression in ON- versus OFF-Crop Trees

Alternate bearing (AB) is the process in fruit trees by which cycles of heavy yield (ON crop) one year are followed by a light yield (OFF crop) the next. Heavy yield usually reduces flowering intensity the following year. Despite its agricultural importance, how the developing crop influences the following year's return bloom and yield is not fully understood. It might be assumed that an ‘AB signal’ is generated in the fruit, or in another organ that senses fruit presence, and moves into the bud to determine its fate—flowering or vegetative growth. The bud then responds to fruit presence by altering regulatory and metabolic pathways. Determining these pathways, and when they are altered, might indicate the nature of this putative AB signal. We studied bud morphology, the expression of flowering control genes, and global gene expression in ON- and OFF-crop buds. In May, shortly after flowering and fruit set, OFF-crop buds were already significantly longer than ON-crop buds. The number of differentially expressed genes was higher in May than at the other tested time points. Processes differentially expressed between ON- and OFF-crop trees included key metabolic and regulatory pathways, such as photosynthesis and secondary metabolism. The expression of genes of trehalose metabolism and flavonoid metabolism was validated by nCounter technology, and the latter was confirmed by metabolomic analysis. Among genes induced in OFF-crop trees was one homologous to SQUAMOSA PROMOTER BINDING-LIKE (SPL), which controls juvenile-to-adult and annual phase transitions, regulated by miR156. The expression pattern of SPL-like, miR156 and other flowering control genes suggested that fruit load affects bud fate, and therefore development and metabolism, a relatively long time before the flowering induction period. Results shed light on some of the metabolic and regulatory processes that are altered in ON and OFF buds.
The role of B-type natriuretic peptide in the evaluation of left atrioventricular valve regurgitation following surgical repair of partial atrioventricular canal.

BACKGROUND Left atrioventricular valve (LAVV) regurgitation usually follows surgical repair of partial atrioventricular canal (PAVC). Although measurements of B-type natriuretic peptide (BNP) levels are useful for the monitoring and prediction of outcomes in chronic mitral regurgitation, no data are available on the role of BNP measurements in the assessment of LAVV regurgitation in patients after surgical correction of PAVC. AIM To determine the role of plasma BNP determination in the assessment of LAVV regurgitation in patients after surgical repair of PAVC. METHODS We evaluated 41 patients who had undergone surgery for PAVC between 1968 and 2005 with preserved left ventricular ejection fraction (LVEF, mean age at follow-up: 39.2 ± 14.0 years, mean age at the time of surgery: 31.3 ± 15.6 years, 32 females) and 13 healthy controls (mean age: 38.9 ± 13.2 years, 9 females). All the subjects had undergone transthoracic echocardiography and had their plasma BNP levels determined. LAVV regurgitation was assessed qualitatively on 1+ to 4+ grading scale and quantitatively by calculating the effective regurgitant orifice area (EROA). RESULTS LAVV regurgitation was present in 40 (97.6%) patients. Compared to patients with mild-to-moderate LAVV regurgitation (grade 1+ to 2+/EROA 〈 0.4 cm²) evaluated qualitatively and quantitatively, the group with severe regurgitation (grade 3+ to 4+/EROA ≥ 0.4 cm²) had higher values of left atrial volume (LAvol) and right ventricular (RV) systolic pressure, although there was no significant difference in plasma BNP levels. There were significant correlations between BNP levels and LAvol (r = 0.54, p = 0.0001), age at follow-up (r = 0.61, p=0.0001), age at the time of surgery (r = 0.58, p = 0.0001), RV diastolic diameter (r = 0.38, p = 0.02) and RV systolic pressure (r = 0.48, p = 0.002). Multivariate logistic regression analysis showed that only LAvol and age at the time of surgery but not the degree of LAVV regurgitation were independently associated with elevated plasma BNP levels. CONCLUSIONS In patients late after surgical repair of the PAVC with preserved LVEF, plasma BNP levels reflect the consequences of the shunt at atrial level and LAVV regurgitation expressed by LAvol but it does not allow to estimate the severity of regurgitation.
Toll Like Receptor 2, 4, and 9 Signaling Promotes Autoregulative Tumor Cell Growth and VEGF/PDGF Expression in Human Pancreatic Cancer

Toll like receptor (TLR) signaling has been suggested to play an important role in the inflammatory microenvironment of solid tumors and through this inflammation-mediated tumor growth. Here, we studied the role of tumor cells in their process of self-maintaining TLR expression independent of inflammatory cells and cytokine milieu for autoregulative tumor growth signaling in pancreatic cancer. We analyzed the expression of TLR2, -4, and -9 in primary human cancers and their impact on tumor growth via induced activation in several established pancreatic cancers. TLR-stimulated pancreatic cancer cells were specifically investigated for activated signaling pathways of VEGF/PDGF and anti-apoptotic Bcl-xL expression as well as tumor cell growth. The primary pancreatic cancers and cell lines expressed TLR2, -4, and -9. TLR-specific stimulation resulted in activated MAP-kinase signaling, most likely via autoregulative stimulation of demonstrated TLR-induced VEGF and PDGF expression. Moreover, TLR activation prompted the expression of Bcl-xL and has been demonstrated for the first time to induce tumor cell proliferation in pancreatic cancer. These findings strongly suggest that pancreatic cancer cells use specific Toll like receptor signaling to promote tumor cell proliferation and emphasize the particular role of TLR2, -4, and -9 in this autoregulative process of tumor cell activation and proliferation in pancreatic cancer.
Ability of serum C-reactive protein and white blood cell cout in predicting acute schemic stroke. A short -term follow-up study

Background: Stroke is one of the leading causes of mortality and long-term morbidity. The aim of the present study was to determine the ability of baseline serum C-reactive protein (CRP) and white blood cell count (WBC) values in predicting the outcome of acute ischemic stroke (AIS). Methods: This study consisted of patients with first AIS referred to Poursina Hospital, Rasht, Iran. Severity of stroke was determined according to the National Institute of Health (NIH) Stroke Scale at the time of admission. Serum CRP levels and WBC count were measured at the time of admission. All patients were followed-up for 90 days after discharge and the severity of stroke was assessed using modified Rankin Scale. Receiver operating characteristic curve analysis was used for calculating the most appropriate cutoff point of CRP and WBC count for differentiating patients with and without poor outcome at the end of the study period. Results: A total of 53 out of 102 patients (52%) had poor outcome. The most appropriate cutoff value for CRP in differentiating patients with and without poor outcome was 8.5mg/l (sensitivity: 73.1%, specificity: 69.4%) and for WBC the difference did not reach to a significant level. The cutoff points of CRP > 10.5 mg/ml yielded a predictive ability at sensitivity: 75%, specificity: 63.8% whereas predictive ability of WBC for mortality was at a borderline level. Conclusion: These findings indicate that high levels of serum CRP in AIS at the time of admission is associated with poor prognosis. However, this study found no ability for WBC in predicting AIS outcome.