LLukas22/scidocs huggingface dataset:
Mindfulness based stress reduction in post-treatment breast cancer patients: an examination of symptoms and symptom clusters

To investigate prevalence and severity of symptoms and symptom clustering in breast cancer survivors who attended MBSR(BC). Women were randomly assigned into MBSR(BC) or Usual Care (UC). Eligible women were ≥ 21 years, had been diagnosed with breast cancer and completed treatment within 18 months of enrollment. Symptoms and interference with daily living were measured pre- and post-MBSR(BC) using the M.D. Anderson Symptom Inventory. Symptoms were reported as highly prevalent but severity was low. Fatigue was the most frequently reported and severe symptom among groups. Symptoms clustered into 3 groups and improved in both groups. At baseline, both MBSR(BC) and the control groups showed similar mean symptom severity and interference; however, after the 6-week post-intervention, the MBSR(BC) group showed statistically-significant reduction for fatigue and disturbed sleep (P < 0.01) and improved symptom interference items, compared to the control group. For the between-group comparisons, 11 of 13 symptoms and 5 of 6 interference items had lower means in the MBSR(BC) condition than the control condition. These results suggest that MBSR(BC) modestly decreases fatigue and sleep disturbances, but has a greater effect on the degree to which symptoms interfere with many facets of life. Although these results are preliminary, MBSR intervention post-treatment may effectively reduce fatigue and related interference in QOL of breast cancer survivors.
Selected apoptotic markers in serum of patients with chronic viral hepatitis C.

BACKGROUND
In chronic viral hepatitis C, hepatocytes inflammation, necrosis and apoptosis occur. To evaluate hepatocyte apoptotic rate, a serum concentration of proapoptotic FaS protein and its ligand (FaS/FaSL) as well tumor necrosis factor-alpha (TNF-alpha) and antiapoptotic hepatocyte growth factor (HGF) may be used. The aim of the study was to evaluate the hepatic apoptosis rate in patients with hepatitis virus C infection and its correlations with the degree of liver inflammation and staging, biochemical tests, viral load and the duration of the infection.


PATIENTS AND METHODS
60 adults (30 chronic hepatitis C patients and 30 controls) were included into the study. Serum levels of FaS/FaSL, TNFalpha and HGF were evaluated using the ELISA method. The results were correlated with viral load, biochemical tests, as well ultrasonographic and histopathological (grading, staging) examinations.


RESULTS
TNF-alpha level in HCV-infected patients was significantly higher than in the controls (11.0 +/- 19.3 pg/ml vs. 3.3 +/- 2.8 pg/ml, p = 0.04). FaS/ FaSL and HGF did not differ significantly in both groups. TNF-alpha level was higher in patients with low staging (fibrosis F-0) than in those with higher staging (F-1, F-2, F-3)--according to the Batts-Ludwig scale. Other markers (FaS/FaSL and HGF) did not differ in groups with variant staging. No significant differences were observed in relation to grading.


CONCLUSIONS
The measurement of FaSIFaSL, TNF-alpha and HGF does not allow for the assessment about apoptotic rate in patients with chronic hepatitis C. Explanation of this problem need follow-up studies on larger groups with the use of more complex methods.
A Survey of Recent Automatic Generation Control Strategies in Power Systems

An attempt is made in this article to show literature review and a latest and exhaustive bibliography on the AGC of power systems. Various control aspects concerning the AGC problem have been highlighted. AGC schemes based on techniques and parameters are discussed. The investigations on AGC systems incorporating RES, asynchronous tie-lines and deregulated environments have been analysed. Finally, AGC strategies based on variable structure, robust, adaptive, selftuning, digital/discrete, and intelligent control have also been incorporated.
VBAC: a medicolegal perspective.

History has always been a series of pendulum swings, and there is perhaps no better example in obstetrics than that of vaginal birth after cesarean. Vaginal birth after cesarean (VBAC) rates rose steadily in the early 1990s. However, VBAC rates have declined dramatically over recent years, while the cesarean delivery rate has continued to rise unabated. Many physicians and hospitals are no longer offering trial of labor after cesarean, largely because of medicolegal concerns. This article explores the medical and legal risks of trial of labor after cesarean.
Treatment Extension of Pegylated Interferon Alpha and Ribavirin Does Not Improve SVR in Patients with Genotypes 2/3 without Rapid Virological Response (OPTEX Trial): A Prospective, Randomized, Two-Arm, Multicentre Phase IV Clinical Trial

UNLABELLED
Although sofosbuvir has been approved for patients with genotypes 2/3 (G2/3), many parts of the world still consider pegylated Interferon alpha (P) and ribavirin (R) as standard of care for G2/3. Patients with rapid virological response (RVR) show response rates >80%. However, SVR (sustained virological response) in non-RVR patients is not satisfactory. Longer treatment duration may be required but evidence from prospective trials are lacking. A total of 1006 chronic HCV genotype 2/3 patients treated with P/R were recruited into a German HepNet multicenter screening registry. Of those, only 226 patients were still HCV RNA positive at week 4 (non-RVR). Non-RVR patients with ongoing response after 24 weeks P-2b/R qualified for OPTEX, a randomized trial investigating treatment extension of additional 24 weeks (total 48 weeks, Group A) or additional 12 weeks (total 36 weeks, group B) of 1.5 μg/kg P-2b and 800-1400 mg R. Due to the low number of patients without RVR, the number of 150 anticipated study patients was not met and only 99 non-RVR patients (n=50 Group A, n=49 Group B) could be enrolled into the OPTEX trial. Baseline factors did not differ between groups. Sixteen patients had G2 and 83 patients G3. Based on the ITT (intention-to-treat) analysis, 68% [55%; 81%] in Group A and 57% [43%; 71%] in Group B achieved SVR (p= 0.31). The primary endpoint of better SVR rates in Group A compared to a historical control group (SVR 70%) was not met. In conclusion, approximately 23% of G2/3 patients did not achieve RVR in a real world setting. However, subsequent recruitment in a treatment-extension study was difficult. Prolonged therapy beyond 24 weeks did not result in higher SVR compared to a historical control group.


TRIAL REGISTRATION
ClinicalTrials.gov NCT00803309.
What type of vehicle do people drive? The role of attitude and lifestyle in influencing vehicle type choice

Traditionally, economists and market researchers have been interested in identifying the factors that affect consumers car buying behaviors to estimate market share, and to that end they have developed various models of vehicle type choice. However, they do not usually consider consumers travel attitudes, personality, lifestyle, and mobility as factors that may affect the vehicle type choice. The purpose of this study is to explore the relationship of such factors to individuals vehicle type choices, and to develop a disaggregate choice model of vehicle type based on these factors as well as typical demographic variables. The data for this study comes from a 1998 mail-out/mail-back survey of 1904 residents in the San Francisco Bay Area. The dependent variable (the vehicle type the respondent drives most often) is classified into nine categories: small, compact, mid-sized, large, luxury, sports, minivan/van, pickup, and sport utility vehicle. Based on these categories, we first related vehicle type to travel attitude, personality, lifestyle, mobility, and demographic variables individually, using one-way analysis of variance and chi-squared tests. Then, a multinomial logit model for vehicle type choice was estimated. The final model (which possessed the IIA property) confirmed that the variables analyzed significantly affect an individual s vehicle type choice. These results provide useful background not only to vehicle manufacturers, but also to decision makers and planners of transportation policy related to vehicle ownership, traffic congestion, and energy consumption. 2003 Elsevier Ltd. All rights reserved.
Feasibility of a DC network for commercial facilities

This paper analyzes the feasibility of direct current for the supply of offices and commercial facilities. This is done by analyzing a case study, i.e. the supply to a university department. Voltage drop calculations have been carried out for different voltage levels. A back-up system for reliable power supply is designed based on commercially available batteries. Finally, an economic evaluation of AC vs. DC is performed.
Plasma levels of C-reactive protein after coronary stent implantation.

AIMS
This study was designed to investigate the role of inflammation on the occurrence of angiographic restenosis 6 months after coronary stent implantation and the influence of different kinds of antithrombotic and antiplatelet strategies on inflammation.


METHODS AND RESULTS
In an open randomized trial, 40 consecutive patients were treated with aspirin (100 mg. day(-1)) and either ticlopidine (2x250 mg. day(-1)) (n=17), or phenprocoumon (INR 2.0-3.0) and dipyridamole (3x160 mg. day(-1)) (n=23) after successful elective coronary stent implantation. Plasma levels of C-reactive protein were determined one day before stent implantation and serially thereafter twice daily up to 120 h. C-reactive protein plasma levels increased significantly (P<0.0001) after stent implantation. Phenprocoumon and dipyridamole or ticlopidine had no effect on C-reactive protein plasma levels (P=0.51) or the occurrence of angiographic restenosis (P=0.48). C-reactive protein plasma levels were significantly higher in patients with lesion type C compared to types A or B (P=0.035), respectively. C-reactive protein plasma levels were significantly higher and mean shoulder levels occurred 48 h later in patients with restenosis compared to patients without restenosis after 6 months (P=0.038).


CONCLUSIONS
Elevated C-reactive protein plasma levels still persisting 96 h after stent implantation might reflect a prolonged inflammatory reaction to coronary stent implantation which might causally be involved in pathophysiological mechanisms leading to restenosis.
Review of the self-organizing map (SOM) approach in water resources: Analysis, modelling and application

The use of artificial neural networks (ANNs) in problems related to water resources has received steadily increasing interest over the last decade or so. The related method of the self-organizing map (SOM) is an unsupervised learning method to analyze, cluster, and model various types of large databases. There is, however, still a notable lack of comprehensive literature review for SOM along with training and data handling procedures, and potential applicability. Consequently, the present paper aims firstly to explain the algorithm and secondly, to review published applications with main emphasis on water resources problems in order to assess how well SOM can be used to solve a particular problem. It is concluded that SOM is a promising technique suitable to investigate, model, and control many types of water resources processes and systems. Unsupervised learning methods have not yet been tested fully in a comprehensive way within, for example water resources engineering. However, over the years, SOM has displayed a steady increase in the number of applications in water resources due to the robustness of the method. 2007 Elsevier Ltd. All rights reserved.
Email Category Prediction

According to recent estimates, about 90% of consumer received emails are machine-generated. Such messages include shopping receipts, promotional campaigns, newsletters, booking confirmations, etc. Most such messages are created by populating a fixed template with a small amount of personalized information, such as name, salutation, reservation numbers, dates, etc. Web mail providers (Gmail, Hotmail, Yahoo) are leveraging the structured nature of such emails to extract salient information and use it to improve the user experience: e.g. by automatically entering reservation data into a user calendar, or by sending alerts about upcoming shipments. To facilitate these extraction tasks it is helpful to classify templates according to their category, e.g. restaurant reservations or bill reminders, since each category triggers a particular user experience. Recent research has focused on discovering the causal thread of templates, e.g. inferring that a shopping order is usually followed by a shipping confirmation, an airline booking is followed by a confirmation and then by a “ready to check in” message, etc. Gamzu et al. took this idea one step further by implementing a method to predict the template category of future emails for a given user based on previously received templates. The motivation is that predicting future emails has a wide range of potential applications, including better user experiences (e.g. warning users of items ordered but not shipped), targeted advertising (e.g. users that recently made a flight reservation may be interested in hotel reservations), and spam classification (a message that is part of a legitimate causal thread is unlikely to be spam). The gist of the Gamzu et al. approach is modeling the problem as a Markov chain, where the nodes are templates or temporal events (e.g. the first day of the month). This paper expands on their work by investigating the use of neural networks for predicting the category of emails that will arrive during a fixed-sized time window in the future. We consider two types of neural networks: multilayer perceptrons (MLP), a type of feedforward neural network; and long short-term memory (LSTM), a type of recurrent neural network. For each type of neural network, we explore the effects The work was completed at Google Research. c ©2017 International World Wide Web Conference Committee (IW3C2), published under Creative Commons CC-BY-NC-ND 2.0 License. WWW 2017 Companion,, April 3–7, 2017, Perth, Austraila. ACM 978-1-4503-4914-7/17/04. http://dx.doi.org/10.1145/3041021.3055166 of varying their configuration (e.g. number of layers or number of neurons) and hyper-parameters (e.g. drop-out ratio). We find that the prediction accuracy of neural networks vastly outperforms the Markov chain approach, and that LSTMs perform slightly better than MLPs. We offer some qualitative interpretation of our findings and identify some promising future directions.
Генезис лингвистической философии в эпистемологии античности

The purpose of the paper is researching linguistic philosophy genesis. The ancient doctrines are used as research base. Methodology : The basic hypothesis is a concept, which implies the interrelation between language and thinking. Analysis for the presence of this concept is carried out. The subjects of inquiry are Xenophanes, Heraclitus, Parmenides, Democritus, the Sophists, Socrates, Plato, Aristotle, the Stoics and Chrisippos’ proceedings. Historical analysis is based on the original sources, as well as on the findings of subsequent research. Findings: The interrelation between language and thinking was first discussedin the pre-Socratic period. This concept saw multidimensional investigation in the antique proceedings. Direct and dialectical interrelations between language and thinking, as well as ethical and psychological aspects are discovered. Theoretical value: The results stimulate the in-depth study of linguistic philosophy history. They contribute to the formation of fuller appreciation of its process of establishment.
An automatic detection of helmeted and non-helmeted motorcyclist with license plate extraction using convolutional neural network

Detection of helmeted and non-helmeted motorcyclist is mandatory now-a-days in order to ensure the safety of riders on the road. However, due to many constraints such as poor video quality, occlusion, illumination, and other varying factors it becomes very difficult to detect them accurately. In this paper, we introduce an approach for automatic detection of helmeted and non-helmeted motorcyclist using convolutional neural network (CNN). During the past several years, the advancements in deep learning models have drastically improved the performance of object detection. One such model is YOLOv2 [1] which combines both classification and object detection in a single architecture. Here, we use YOLOv2 at two different stages one after another in order to improve the helmet detection accuracy. At the first stage, YOLOv2 model is used to detect different objects in the test image. Since this model is trained on COCO dataset, it can detect all classes of the COCO dataset. In the proposed approach, we use detection of person class instead of motorcycle in order to increase the accuracy of helmet detection in the input image. The cropped images of detected persons are used as input to second YOLOv2 stage which was trained on our dataset of helmeted images. The non-helmeted images are processed further to extract license plate by using OpenALPR. In the proposed approach, we use two different datasets i.e., COCO and helmet datasets. We tested the potential of our approach on different helmeted and non-helmeted images. Experimental results show that the proposed method performs better when compared to other existing approaches with 94.70% helmet detection accuracy.
Regular exercise during pregnancy to prevent gestational diabetes: a randomized controlled trial.

OBJECTIVE
To assess whether exercise during pregnancy can prevent gestational diabetes and improve insulin resistance.


METHODS
A total of 855 women in gestational week 18-22 were randomly assigned to receiving a 12-week standard exercise program (intervention group) or standard antenatal care (control group). The exercise program followed standard recommendations and included moderate-intensity to high-intensity activity 3 or more days per week. Primary outcomes were gestational diabetes and insulin resistance estimated by the homeostasis model assessment method. For the power calculation, we assumed a gestational diabetes prevalence of 9% in the control group and a prevalence of 4% in the exercise group (risk difference of 5%). Under these assumptions, a two-sample comparison with a 5% level of significance and power of 0.80 gave a study population of 381 patients in each group.


RESULTS
At 32-36 weeks of gestation there were no differences between groups in prevalence of gestational diabetes: 25 of 375 (7%) in the intervention group compared with 18 of 327 (6%) in the control group (P=.52). There were no differences in insulin resistance between groups when adjusting for baseline values. Only 55% of women in the intervention group managed to follow the recommended exercise protocol. No serious adverse events related to physical exercise were seen, and the outcomes of pregnancy were similar in the two groups.


CONCLUSION
There was no evidence that offering women a 12-week standard exercise program during the second half of pregnancy prevents gestational diabetes or improves insulin resistance in healthy pregnant women with normal body mass indexes.


CLINICAL TRIAL REGISTRATION
: ClinicalTrials.gov, www.clinicaltrials.gov, NCT00476567.
Characterization of spinal subarachnoid bleeding associated to graded traumatic spinal cord injury in the rat

Study design:Observational study in rats subjected to traumatic spinal cord injury (SCI).Objectives:To describe the features of spinal subarachnoid bleeding (SSB) occurring after graded SCI. SSB after SCI has been reported previously, but has not been studied systematically despite the fact that cerebral subarachnoid bleeding often produces severe neurological damage.Setting:Mexico.Methods:Anesthetized rats were subjected to mild or severe spinal cord contusion at T9. Occurrence, size, progression and location of SSB were characterized morphologically and scored from T7–T12 at 1 h and 1, 3 and 7 days post injury. Besides, contusions were videotaped to visualize bleeding at the moment of impact.Results:SSB started immediately after contusion (severe or mild) and decreased gradually over time. For all vertebral segments, at all time points examined by histology, 48% of areas scored after severe contusion showed bleeding: 25% minor, 17% moderate and 6% major. After mild contusion, only 15% showed bleeding: 13 minor and 2% moderate. Maximum bleeding occurred early after injury in dorsal area of the epicenter in 100% of severe contusions (6% minor, 38 moderate and 56% major), and in 69% of mild contusions (63 minor and 6% moderate).Conclusion:Here, we detail SSB patterns occurring after graded SCI. Further studies are warranted to elucidate the possible role extramedullary events, such as SSB, in the pathophysiology of SCI that might encourage the development of new strategies for its management.
Long-term trends (1990-2014), health risks, and sources of atmospheric polycyclic aromatic hydrocarbons (PAHs) in the U.S.

Polycyclic aromatic hydrocarbons (PAHs) are a category of over 100 various chemicals released from numerous combustion sources. The ubiquity and toxicity of PAHs have posed high health risks on human populations. This study aims to examine the long-term trends of atmospheric PAHs at the national-level in the U.S., and evaluate their cancer risks. Daily concentrations of PAHs measured at 169 monitoring stations between 1990 and 2014 were obtained from the U.S. Environmental Protection Agency's Air Quality System. Temporal trends were examined using generalized linear model with generalized estimating equations. Random-effects analysis of variance was performed to explore variance between regions, sites, years, and months with a hierarchical structure. Source categories were identified using diagnostic ratios. National population level cancer risks were estimated using the relative potency factors and inhalation unit risk method. Ambient PAH concentrations displayed an overall downward trend (6-9% annual reduction) in urban areas, but not in rural areas. Seasonal and weekday/weekend effects were significant. Urban concentrations were twice of the rural level. The between-site variation outweighed the temporal variation, indicating large spatial heterogeneity. The predominant PAH sources were from traffic and non-traffic related fuel combustions with a dominant contribution from diesel emissions. The average excess lifetime cancer risk was estimated to be 9.3 ± 30.1 × 10-6 (GM: 4.2 × 10-6) from exposure to ten carcinogenic PAHs. This is the first comprehensive study of the spatiotemporal trends of ambient PAHs at the U.S. national level. The results indicate that future efforts aimed to reduce PAH exposures should focus on diesel emission controls and extending the geographic coverage of air monitoring.