LLukas22/scidocs huggingface dataset:
Radiation effect on boundary layer flow of an Eyring–Powell fluid over an exponentially shrinking sheet

Boundary layer flow; Eyring–Powell model; Thermal radiation Abstract The aim of this paper was to examine the steady boundary layer flow of an Eyring–Powell model fluid due to an exponentially shrinking sheet. In addition, the heat transfer process in the presence of thermal radiation is considered. Using usual similarity transformations the governing equations have been transformed into non-linear ordinary differential equations. Homotopy analysis method (HAM) is employed for the series solutions. The convergence of the obtained series solutions is carefully analyzed. Numerical values of the temperature gradient are presented and discussed. It is observed that velocity increases with an increase in mass suction S. In addition, for the temperature profiles opposite behavior is observed for increment in suction. Moreover, the thermal boundary layer thickness decreases due to increase in Prandtl number Pr and thermal radiation R. 2014 Production and hosting by Elsevier B.V. on behalf of Ain Shams University.
Clinical Concept Extraction with Contextual Word Embedding

Automatic extraction of clinical concepts is an essential step for turning the unstructured data within a clinical note into structured and actionable information. In this work, we propose a clinical concept extraction model for automatic annotation of clinical problems, treatments and tests in clinical notes utilizing domainspecific contextual word embedding. A contextual word embedding model is first trained on a corpus with a mixture of clinical reports and relevant Wikipedia pages in the clinical domain. Next, a bidirectional LSTM-CRF model is trained for clinical concept extraction using the contextual word embedding model. We tested our proposed model on the I2B2 2010 challenge dataset. Our proposed model achieved the best performance among reported baseline models and outperformed the state-of-the-art models by 3.4% in terms of F1-score. 1
The Origins of French Art Criticism: From the Ancien Regime to the Restoration

List of Plates. List of Figures. Photographic Credits. Abbreviations. Introduction. 1: The Salon in Context. 2: The Salon. 3: In Search of an Art Public. 4: Between the Studio and the Salon. 5: Censorshop and Diffusion of Criticism during the Ancient Regime. 6: The Status of Criticism. 7: The Language of Art Criticism. 8: The Hierarchy of the Genres. Conclusion. Appendix I: Independent Exhibitions, Lotteries, and Subscrption Schemes. Appendix II: Some Extensions to Salon Exhibitions. Appendix III: Production of Salon Pamphlets and Press Reviews. Appendix IV. Bibliography. Index
Influence of smoking and plasma factors on patency of femoropopliteal vein grafts.

OBJECTIVE
To determine the effects of smoking, plasma lipids, lipoproteins, apolipoproteins, and fibrinogen on the patency of saphenous vein femoropopliteal bypass grafts at one year.


DESIGN
Prospective study of patients with saphenous vein femoropopliteal bypass grafts entered into a multicentre trial.


SETTING
Surgical wards, outpatient clinics, and home visits coordinated by two tertiary referral centres in London and Birmingham.


PATIENTS
157 Patients (mean age 66.6 (SD 8.2) years), 113 with patent grafts and 44 with occluded grafts one year after bypass.


MAIN OUTCOME MEASURE
Cumulative percentage patency at one year.


RESULTS
Markers for smoking (blood carboxyhaemoglobin concentration (p less than 0.05) and plasma thiocyanate concentration (p less than 0.01) and plasma concentrations of fibrinogen (p less than 0.001) and apolipoproteins AI (p less than 0.04) and (a) (p less than 0.05) were significantly higher in patients with occluded grafts. Serum cholesterol concentrations were significantly higher in patients with grafts that remained patent one year after bypass (p less than 0.005). Analysis of the smoking markers indicated that a quarter of patients (40) were untruthful in their claims to have stopped smoking. Based on smoking markers, patency of grafts in smokers was significantly lower at one year by life table analysis than in non-smokers (63% v 84%, p less than 0.02). Patency was significantly higher by life table analysis in patients with a plasma fibrinogen concentration below the median than in those with a concentration above (90% v 57%, p less than 0.0002). Surprisingly, increased plasma low density lipoprotein cholesterol concentration was significantly associated with improved patency at one year (85%) at values above the median compared with patency (only 68%) at values in the lower half of the range (p less than 0.02).


CONCLUSIONS
Plasma fibrinogen concentration was the most important variable predicting graft occlusion, followed by smoking markers. A more forceful approach is needed to stop patients smoking; therapeutic measures to improve patency of vein grafts should focus on decreasing plasma fibrinogen concentration rather than serum cholesterol concentration.
Substance use and associated factors among Debre Berhan University students, Central Ethiopia

BACKGROUND
Being a global burden of youths, substances use is unhealthy behavior that exposes youths to health and social problems. Knowledge of the prevalence and predictors of substance use behavior among university students is important for designing periodic and locally appropriate interventions. This study is conducted to assess the prevalence and predicators of substances among Debre Berhan University students.


METHODS
Cross-sectional quantitative study was employed in May 2016. Stratified two-stage sampling technique was applied to choose 695 students. Substance use behaviors were assessed using tools derived from World Health Organization Model Students' Substance Use Core Questionnaire.


RESULT
The lifetime utilization of alcohol, khat and cigarette among students was found to be 36.3%, 10.9% and 7.4% respectively. The lifetime utilization of shisha and cannabis was 4.2% and 4.5% respectively. About 17%, 5.7%, and 3.1% of students are currently using alcohol, Khat and Cigarette respectively. Using multivariate binary logistic regression, being male, feeding out of the university café, being from private preparatory school, having higher monthly income, having substance user families and friends were found to be variables significantly associated with students' substance use behaviors.


CONCLUSIONS
The current prevalence of substances use among Debre Berhan University students is low comparing to other Ethiopian and African universities. Youth are starting substance use at lower grades especially at preparatory schools. Substance use behaviors are affected by complex factors at individual, family, school, social, and environmental factors. Therefore, strategies to alleviate youth substance use problems should focus on changing individual perception, knowledge, and intention towards substances. There is a need for further research with more powerful sample size and weighted estimates using complex analysis. Reasons for lower prevalence of substance use from other Ethiopian universities shall be further explored using qualitative study.
Calcium supplementation during pregnancy for preventing hypertensive disorders is not associated with changes in platelet count, urate, and urinary protein: a randomized control trial.

OBJECTIVE
To test the hypothesis that calcium supplementation inhibits the underlying pathological processes in women with preeclampsia.


METHODS
Seven hundred and eight nulliparous women were enrolled in a WHO randomized double-blind trial, who received 1.5 g of calcium or placebo from 20 weeks of pregnancy or earlier. Platelet count, serum urate, and urinary protein/creatinine ratio were measured at or near 35 gestational weeks.


RESULTS
No difference was detected in rates of abnormal platelet count (relative risk [RR] 1.18; 95% confidence interval [CI], 0.63 to 2.18), serum urate level (1.0; 0.64 to 1.57) or urine protein/creatinine ratio (1.01; 0.76 to 1.34). This was consistent with the main trial finding of no difference in the incidence of 'dipstick' proteinuria between women receiving calcium and those receiving placebo (8312 women; RR, 1.01; 95% CI, 0.88 to 1.15).


CONCLUSIONS
An effect of calcium supplementation in the second half of pregnancy on the rate of abnormal laboratory measures associated with preeclampsia was not demonstrated.
Dietary flaxseed alters tumor biological markers in postmenopausal breast cancer.

PURPOSE
Flaxseed, the richest source of mammalian lignan precursors, has previously been shown to reduce the growth of tumors in rats. This study examined, in a randomized double-blind placebo-controlled clinical trial, the effects of dietary flaxseed on tumor biological markers and urinary lignan excretion in postmenopausal patients with newly diagnosed breast cancer.


EXPERIMENTAL DESIGN
Patients were randomized to daily intake of either a 25 g flaxseed-containing muffin (n = 19) or a control (placebo) muffin (n = 13). At the time of diagnosis and again at definitive surgery, tumor tissue was analyzed for the rate of tumor cell proliferation (Ki-67 labeling index, primary end point), apoptosis, c-erbB2 expression, and estrogen and progesterone receptor levels. Twenty-four-hour urine samples were analyzed for lignans, and 3-day diet records were evaluated for macronutrient and caloric intake. Mean treatment times were 39 and 32 days in the placebo and flaxseed groups, respectively.


RESULTS
Reductions in Ki-67 labeling index (34.2%; P = 0.001) and in c-erbB2 expression (71.0%; P = 0.003) and an increase in apoptosis (30.7%; P = 0.007) were observed in the flaxseed, but not in the placebo group. No significant differences in caloric and macronutrient intake were seen between groups and between pre- and posttreatment periods. A significant increase in mean urinary lignan excretion was observed in the flaxseed group (1,300%; P < 0.01) compared with placebo controls. The total intake of flaxseed was correlated with changes in c-erbB2 score (r = -0.373; P = 0.036) and apoptotic index (r = 0.495; P < 0.004).


CONCLUSION
Dietary flaxseed has the potential to reduce tumor growth in patients with breast cancer.
Mining a corpus of biographical texts using keywords

Using statistically derived keywords to characterize texts has become an important research method for digital humanists and corpus linguists in areas such as literary analysis and the exploration of genre difference. Keywords—and the associated concepts of ‘keyness’ and ‘key-keyness’—have inspired conferences and workshops, many and varied research papers, and are central to several modern corpus processing tools. In this article, we present evidence that (at least for the task of biographical sentence classification) frequent words characterize texts better than keywords or key-keywords. Using the naı̈ve Bayes learning algorithm in conjunction with frequency-, keyword-, and key-keyword-based text representation to classify a corpus of biographical sentences, we discovered that the use of frequent words alone provided a classification accuracy better than either the keyword or key-keyword representations at a statistically significant level. This result suggests that (for the biographical sentence classification task at least) frequent words characterize texts better than keywords derived using more computationally intensive methods. .................................................................................................................................................................................
The detection of epileptic seizure signals based on fuzzy entropy

BACKGROUND
Entropy is a nonlinear index that can reflect the degree of chaos within a system. It is often used to analyze epileptic electroencephalograms (EEG) to detect whether there is an epileptic attack. Much research into the state inspection of epileptic seizures has been conducted based on sample entropy (SampEn). However, the study of epileptic seizures based on fuzzy entropy (FuzzyEn) has lagged behind.


NEW METHODS
We propose a method of state inspection of epileptic seizures based on FuzzyEn. The method first calculates the FuzzyEn of EEG signals from different epileptic states, and then feature selection is conducted to obtain classification features. Finally, we use the acquired classification features and a grid optimization method to train support vector machines (SVM).


RESULTS
The results of two open-EEG datasets in epileptics show that there are major differences between seizure attacks and non-seizure attacks, such that FuzzyEn can be used to detect epilepsy, and our method obtains better classification performance (accuracy, sensitivity and specificity of classification of the CHB-MIT are 98.31%, 98.27% and 98.36%, and of the Bonn are 100%, 100%, 100%, respectively).


COMPARISONS WITH EXISTING METHOD(S)
To verify the performance of the proposed method, a comparison of the classification performance for epileptic seizures using FuzzyEn and SampEn is conducted. Our method obtains better classification performance, which is superior to the SampEn-based methods currently in use.


CONCLUSIONS
The results indicate that FuzzyEn is a better index for detecting epileptic seizures effectively. The FuzzyEn-based method is preferable, exhibiting potential desirable applications for medical treatment.
Satellites measure recent rates of groundwater depletion in California's Central Valley: CENTRAL VALLEY GROUNDWATER DEPLETION

[1] In highly‐productive agricultural areas such as California’s Central Valley, where groundwater often supplies the bulk of thewater required for irrigation, quantifying rates of groundwater depletion remains a challenge owing to a lack of monitoring infrastructure and the absence of water use reporting requirements. Here we use 78months (October, 2003–March, 2010) of data from the Gravity Recovery and Climate Experiment satellite mission to estimate water storage changes in California’s Sacramento and San Joaquin River Basins. We find that the basins are losing water at a rate of 31.0 ± 2.7 mm yr equivalent water height, equal to a volume of 30.9 km for the study period, or nearly the capacity of Lake Mead, the largest reservoir in the United States. We use additional observations and hydrological model information to determine that the majority of these losses are due to groundwater depletion in the Central Valley. Our results show that the Central Valley lost 20.4 ± 3.9 mm yr of groundwater during the 78‐month period, or 20.3 km in volume. Continued groundwater depletion at this rate may well be unsustainable, with potentially dire consequences for the economic and food security of the United States.Citation: Famiglietti, J. S., M. Lo, S. L. Ho, J. Bethune, K. J. Anderson, T. H. Syed, S. C. Swenson, C. R. de Linage, and M. Rodell (2011), Satellites measure recent rates of groundwater depletion in California’s Central Valley, Geophys. Res. Lett., 38, L03403, doi:10.1029/2010GL046442.
Comparison between linear and daily undulating periodized resistance training to increase strength.

To determine the most effective periodization model for strength and hypertrophy is an important step for strength and conditioning professionals. The aim of this study was to compare the effects of linear (LP) and daily undulating periodized (DUP) resistance training on body composition and maximal strength levels. Forty men aged 21.5 +/- 8.3 and with a minimum 1-year strength training experience were assigned to an LP (n = 20) or DUP group (n = 20). Subjects were tested for maximal strength in bench press, leg press 45 degrees, and arm curl (1 repetition maximum [RM]) at baseline (T1), after 8 weeks (T2), and after 12 weeks of training (T3). Increases of 18.2 and 25.08% in bench press 1 RM were observed for LP and DUP groups in T3 compared with T1, respectively (p < or = 0.05). In leg press 45 degrees , LP group exhibited an increase of 24.71% and DUP of 40.61% at T3 compared with T1. Additionally, DUP showed an increase of 12.23% at T2 compared with T1 and 25.48% at T3 compared with T2. For the arm curl exercise, LP group increased 14.15% and DUP 23.53% at T3 when compared with T1. An increase of 20% was also found at T2 when compared with T1, for DUP. Although the DUP group increased strength the most in all exercises, no statistical differences were found between groups. In conclusion, undulating periodized strength training induced higher increases in maximal strength than the linear model in strength-trained men. For maximizing strength increases, daily intensity and volume variations were more effective than weekly variations.
Performance Analysis of FlexRay-based ECU Networks

It is now widely believed that FlexRay will emerge as the predominant protocol for in-vehicle automotive communication systems. As a result, there has been a lot of recent interest in timing and predictability analysis techniques that are specifically targeted towards FlexRay. In this paper we propose a compositional performance analysis framework for a network of electronic control units (ECUs) that communicate via a FlexRay bus. Given a specification of the tasks running on the different ECUs, the scheduling policy used at each ECU, and a specification of the FlexRay bus (e.g. slot sizes and message priorities), our framework can answer questions related to the maximum end-to-end delay experienced by any message, the amount of buffer required at each communication controller and the utilization of the different ECUs and the bus. In contrast to previous timing analysis techniques which analyze the FlexRay bus in isolation, our framework is fully compositional and allows the modeling of the schedulers at the ECUs and the FlexRay protocol in a seamless manner. As a result, it can be used to analyze large systems and does not involve any computationally expensive step like solving an ILP (which previous approaches require). We illustrate our framework using detailed examples and also present results from a Matlab-based implementation.
Weighted partition consensus via kernels

The combination of multiple clustering results (clustering ensemble) has emerged as an important procedure to improve the quality of clustering solutions. In this paper we propose a new cluster ensemble method based on kernel functions, which introduces the Partition Relevance Analysis step. This step has the goal of analyzing the set of partition in the cluster ensemble and extract valuable information that can improve the quality of the combination process. Besides, we propose a new similarity measure between partitions proving that it is a kernel function. A new consensus function is introduced using this similarity measure and based on the idea of finding the median partition. Related to this consensus function, some theoretical results that endorse the suitability of our methods are proven. Finally, we conduct a numerical experimentation to show the behavior of our method on several databases by making a comparison with simple clustering algorithms as well as to other cluster ensemble methods. & 2010 Elsevier Ltd. All rights reserved.
Association and linkage of anxiety-related traits with a functional polymorphism of the serotonin transporter gene regulatory region in Israeli sibling pairs

A functional polymorphism in the regulatory region of the serotonin transporter gene (5-HTTLPR) has been reported to be both associated and linked to anxiety-related personality measures, although other studies have not replicated these findings. The current study examines both association and linkage of the gene to two major anxiety-related personality measures, the harm avoidance scale on the Tridimensional Personality Questionnaire and the neuroticism scale of the NEO-PI-R, in a sample of 148 Israeli subjects comprising 74 same-sex sibling pairs. We replicated the reported association between the short allele and higher scores on the TPQ harm avoidance scale (P = 0.03), including the subscale of shyness (P = 0.02), and also found association in the same direction between the short allele and the NEO-PI-R neuroticism subscales of anxiety (P = 0.03) and depression (P = 0.04). Sib-pair linkage analysis, using the regression method, further supported a role of the 5-HTTLPR in anxiety-related personality traits.
Antibacterial Activity Of Tetrapleura Tetraptera Taub. Pod Extracts

Phytochemical composition and antibacterial activity of ethanolic and water extract of Tetrapleura tetraptera were studied. Four known human bacterial pathogens were used. They were Escherichia coli ,Staphylococcus aureus, Salmonella typhi and Pseudomonas aeruginosa.The test plant yielded 2.322% of extract with water and 3.180% of extract with ethanol. Also, phytochemical composition revealed the presence of tannin,0.36%:saponin,0.54%;flavonoid,0.84%;alkaloid,1.28%:phenol,0.42% and 9.86mg/kg of hydrocyanic acid (HCN).Both water and ethanol extracts showed strong antibacterial activity. The water extract gave inhibition zone of diameters 14.1mm,11.0mm,12.9mm and 20.4mm with Escherichia coli, Staphylococcus aureus, Pseudomonas aeruginosa and Salmonella typhi respectively,while ethanol extract gave 20.1mm,26.4mm,24.8mm and 14.0mm of the same test organisms. It was recorded that ethanolic extracts were more potent against the test organisms than the water extract.The established antibacterial activities were attributed to the presence of phytochemical and the continuous use of the test plant was highly recommended.