LLukas22/scidocs huggingface dataset:
Using wavelet transforms for ECG characterization. An on-line digital signal processing system

The rapid and objective measurement of timing intervals of the electrocardiogram (ECG) by automated systems is superior to the subjective assessment of ECG morphology. The timing interval measurements are usually made from the onset to the termination of any component of the EGG, after accurate detection of the QRS complex. This article describes a real-time system that uses wavelet transforms to overcome the limitations of other methods of detecting QRS and the onsets and offsets of P- and T-waves. Wavelet transformation is briefly discussed, and detection methods and hardware and software aspects of the system are presented, as well as experimental results.
The Danish National Penile Cancer Quality database

AIM OF DATABASE
The Danish National Penile Cancer Quality database (DaPeCa-data) aims to improve the quality of cancer care and monitor the diagnosis, staging, and treatment of all incident penile cancer cases in Denmark. The aim is to assure referral practice, guideline adherence, and treatment and development of the database in order to enhance research opportunities and increase knowledge and survival outcomes of penile cancer.


STUDY POPULATION
The DaPeCa-data registers all patients with newly diagnosed invasive squamous cell carcinoma of the penis in Denmark since June 2011.


MAIN VARIABLES
Data are systematically registered at the time of diagnosis by a combination of automated data-linkage to the central registries as well as online registration by treating clinicians. The main variables registered relate to disease prognosis and treatment morbidity and include the presence of risk factors (phimosis, lichen sclerosus, and human papillomavirus), date of diagnosis, date of treatment decision, date of beginning of treatment, type of treatment, treating hospital, type and time of complications, date of recurrence, date of death, and cause of death.


DESCRIPTIVE DATA
Registration of these variables correlated to the unique Danish ten-digit civil registration number enables characterization of the cohort, individual patients, and patient groups with respect to age; 1-, 3-, and 5-year disease-specific and overall survival; recurrence patterns; and morbidity profile related to treatment modality. As of August 2015, more than 200 patients are registered with ∼65 new entries per year.


CONCLUSION
The DaPeCa-data has potential to provide meaningful, timely, and clinically relevant quality data for quality maintenance, development, and research purposes.
The Protein Folding Problem and Tertiary Structure Prediction

Download PDF Ebook and Read OnlineThe Protein Folding Problem And Tertiary Structure Prediction%0D. Get The Protein Folding Problem And Tertiary Structure Prediction%0D When some people looking at you while reading the protein folding problem and tertiary structure prediction%0D, you might feel so honored. But, as opposed to other individuals feels you have to instil in yourself that you are reading the protein folding problem and tertiary structure prediction%0D not because of that factors. Reading this the protein folding problem and tertiary structure prediction%0D will give you more than people appreciate. It will overview of understand greater than the people looking at you. Even now, there are several sources to learning, reviewing a book the protein folding problem and tertiary structure prediction%0D still becomes the first choice as a fantastic way. How if there is a site that enables you to look for referred publication the protein folding problem and tertiary structure prediction%0D from all around the world author? Instantly, the site will be extraordinary finished. So many book collections can be found. All will be so very easy without complicated thing to relocate from website to website to get guide the protein folding problem and tertiary structure prediction%0D really wanted. This is the site that will give you those assumptions. By following this site you can acquire lots numbers of book the protein folding problem and tertiary structure prediction%0D collections from versions types of author and publisher popular in this globe. Guide such as the protein folding problem and tertiary structure prediction%0D and others can be gained by clicking wonderful on link download. Why should be reading the protein folding problem and tertiary structure prediction%0D Again, it will certainly rely on exactly how you feel as well as think of it. It is definitely that one of the advantage to take when reading this the protein folding problem and tertiary structure prediction%0D; you could take more lessons straight. Even you have actually not undergone it in your life; you could obtain the experience by reading the protein folding problem and tertiary structure prediction%0D And now, we will present you with the on the internet book the protein folding problem and tertiary structure prediction%0D in this website.
Incidence of Kawasaki disease in northern European countries.

BACKGROUND
The aim of the present study was to compare the epidemiologic features of Kawasaki disease (KD) in three northern European countries and Japan.


METHODS
Data were obtained from discharge databases for hospitals in Finland, Norway, and Sweden for 1999-2009 and from nationwide epidemiologic surveys in Japan for 1998-2008. Annual incidence for each country was calculated using regional census data.


RESULTS
During the 11 year period, 1390 KD patients were recorded in the registries of the three northern European countries. Average annual incidence rates per 100,000 children aged <5 years were: Finland, 11.4; Norway, 5.4; and Sweden, 7.4. Overall, 86.4% of Japanese KD patients were aged <5 years compared to only 67.8% in the four northern European countries (P < 0.001).


CONCLUSIONS
The incidence of KD in northern Europe was constant over the study period and much lower than in Japan. There was a significant age difference between northern European and Japanese KD patients that remains unexplained.
Future of Cannabis and Cannabinoids in Therapeutics

This study reviews human clinical experience to date with several synthetic cannabinoids, including nabilone, levonantradol, ajulemic acid (CT3), dexanabinol (HU-211), HU-308, and SR141716 (Rimonabant®). Additionally, the concept of “clinical endogenous cannabinoid deficiency” is explored as a possible factor in migraine, idiopathic bowel disease, fibromyalgia and other clinical pain states. The concept of analgesic synergy of cannabinoids and opioids is addressed. A cannabinoid-mediated improvement in night vision at the retinal level is discussed, as well as its potential application to treatment of retinitis pigmentosa and other conditions. Additionally noted is the role of cannabinoid treatment in neuroprotection and its application to closed head injury, cerebrovascular accidents, and CNS degenerative diseases including Alzheimer, Huntington, Parkinson diseases and ALS. Excellent clinical results employing cannabis based medicine extracts (CBME) in spasticity and spasms of MS suggests extension of such treatment to other spasmodic and dystonic conditions. Finally, controversial areas of cannabinoid treatment in obstetrics, gynecology and pediatrics are addressed along with a rationale for such interventions. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-HAWORTH. E-mail address: <docdelivery@haworthpress. com> Website: <http://www.HaworthPress.com>  2003 by The Haworth Press, Inc. All rights reserved.]
Spotting Symbols in Line Drawing Images Using Graph Representations

Many methods of graphics recognition have been dev eloped throughout the years for the recognition of pre-seg m nted graphics symbols but very few techniques achieved the objective of symbo l sp tting and recognition together in a generic case. To go one step forward through this objective, this paper presents an original solution for symbol spot ting using a graph representation of graphical documents. The proposed strategy has two main step. In the first step, a graph base representatio of a document image is generated that includ selection of description prim itives (nodes of the graph) and organisation of these features (edges). In the second step the graph is used to spot interesting parts of the image that potenti ally correspond to symbol. The sub-graphs associated to selected zones are then su bmitted to a graph matching algorithm in order to take the final decision and t o recognize the class of the symbol. The experimental results obtained on differ ent types of documents demonstrates that the system can handle different t ypes of images without any modification.
Defect-Based Testing

What is a good test case? One that reveals potential defects with good cost-effectiveness. We provide a generic model of faults and failures, formalize it, and present its various methodological usages for test case generation.
Mental health literacy measures evaluating knowledge, attitudes and help-seeking: a scoping review.

BACKGROUND
Mental health literacy has received increasing attention as a useful strategy to promote early identification of mental disorders, reduce stigma and enhance help-seeking behaviors. However, despite the abundance of research on mental health literacy interventions, there is the absence of evaluations of current available mental health literacy measures and related psychometrics. We conducted a scoping review to bridge the gap.


METHODS
We searched PubMed, PsycINFO, Embase, CINAHL, Cochrane Library, and ERIC for relevant studies. We only focused on quantitative studies and English publications, however, we didn't limit study participants, locations, or publication dates. We excluded non-English studies, and did not check the grey literature (non peer-reviewed publications or documents of any type) and therefore may have missed some eligible measures.


RESULTS
We located 401 studies that include 69 knowledge measures (14 validated), 111 stigma measures (65 validated), and 35 help-seeking related measures (10 validated). Knowledge measures mainly investigated the ability of illness identification, and factual knowledge of mental disorders such as terminology, etiology, diagnosis, prognosis, and consequences. Stigma measures include those focused on stigma against mental illness or the mentally ill; self-stigma ; experienced stigma; and stigma against mental health treatment and help-seeking. Help-seeking measures included those of help-seeking attitudes, intentions to seek help, and actual help-seeking behaviors.


CONCLUSIONS
Our review provides a compendium of available mental health literacy measures to facilitate applying existing measures or developing new measures. It also provides a solid database for future research on systematically assessing the quality of the included measures.
60-GHz single-chip integrated antenna and Low Noise Amplifier in 65-nm CMOS SOI technology for short-range wireless Gbits/s applications

The single-chip integration of antenna and Low Noise Amplifier (LNA) for 60 GHz short-range wireless transceivers is presented in this work. A 65 nm CMOS Silicon-on-Insulator (SOI) technology has been selected as target; due to its high-resistivity substrate the losses are drastically reduced if compared with the bulk silicon technology and more energy will be provided to the on-chip antenna to radiate. Two different LNA architectures are proposed. First, a three-stage LNA with conventional 50 Ohm input matching allows for a power gain of 23 dB, a noise figure (NF) of 4.04 dB and a power consumption of 35 mW. By relaxing the impedance matching specification, due to on-chip co-design of amplifier and antenna, a new LNA with only two amplification stages has been designed. The two-stage LNA achieves similar performance of the three-stage one (gain >22 dB, NF< 5 dB) with a power consumption reduced by 25%. A dipole antenna with coplanar strip feed has been also designed matching the input LNA impedance and allowing an antenna gain of 3.22 dB at 60 GHz with a limited on-chip area occupation.
Examining the Effects of Deregulation on Retail Electricity Prices

A primary aim of deregulation is to reduce the customer cost of electricity. In this paper, we examine the degree of success in reaching that goal using a variety of methods. We examine rates for each of four customer classes; for regulated, deregulated and publicly owned utilities; and for three definitions of deregulation. We control for a variety of factors which may independently affect differences in electricity price: climate, fuel costs, and electricity generation by energy source. Taken as a whole, the results from our analysis do not support a conclusion that deregulation has led to lower electricity rates. * This paper was presented July 5, 2005 at the annual meeting of the Western Economic Association International at the session entitled “Power Market Restructuring: A Review” and September 20, 2005 at the annual North American Conference of the USAEE/IAEE at the session entitled “Electricity Market Structure, Conduct and Performance.”
Dissolved Organic Carbon in Terrestrial Ecosystems: Synthesis and a Model

The movement of dissolved organic carbon (DOC) through soils is an important process for the transport of carbon within ecosystems and the formation of soil organic matter. In some cases, DOC fluxes may also contribute to the carbon balance of terrestrial ecosystems; in most ecosystems, they are an important source of energy, carbon, and nutrient transfers from terrestrial to aquatic ecosystems. Despite their importance for terrestrial and aquatic biogeochemistry, these fluxes are rarely represented in conceptual or numerical models of terrestrial biogeochemistry. In part, this is due to the lack of a comprehensive understanding of the suite of processes that control DOC dynamics in soils. In this article, we synthesize information on the geochemical and biological factors that control DOC fluxes through soils. We focus on conceptual issues and quantitative evaluations of key process rates to present a general numerical model of DOC dynamics. We then test the sensitivity of the model to variation in the controlling parameters to highlight both the significance of DOC fluxes to terrestrial carbon processes and the key uncertainties that require additional experiments and data. Simulation model results indicate the importance of representing both root carbon inputs and soluble carbon fluxes to predict the quantity and distribution of soil carbon in soil layers. For a test case in a temperate forest, DOC contributed 25% of the total soil profile carbon, whereas roots provided the remainder. The analysis also shows that physical factors—most notably, sorption dynamics and hydrology—play the dominant role in regulating DOC losses from terrestrial ecosystems but that interactions between hydrology and microbial–DOC relationships are important in regulating the fluxes of DOC in the litter and surface soil horizons. The model also indicates that DOC fluxes to deeper soil layers can support a large fraction (up to 30%) of microbial activity below 40 cm.
Effectiveness of co-trimoxazole to prevent Plasmodium falciparum malaria in HIV-positive pregnant women in sub-Saharan Africa: an open-label, randomized controlled trial.

BACKGROUND
Human immunodeficiency virus (HIV) and malaria during pregnancy cause substantial perinatal mortality. As co-trimoxazole (CMX) protects children and HIV-positive adults against malaria, we compared the effectiveness of daily CMX with sulfadoxine-pyrimethamine intermittent preventive treatment (IPT-SP) on malaria risk in HIV-positive pregnant women in a Plasmodium falciparum-endemic African area.


METHODS
 From January 2009 to April 2011, we included in a randomized noninferiority trial all HIV type 1-infected pregnant women (≤28 weeks' gestation, CD4 count ≥200 cells/µL, hemoglobin level ≥7 g/L) in 19 health centers in Togo. Women were randomly assigned to daily 800 mg/160 mg CMX, or IPT-SP. The primary outcome was the proportion of malaria-free pregnancies. Other outcomes included malaria incidence, parasitemia, placental malaria, anemia, and infants' birth weight.


RESULTS
Of 264 women randomly assigned to the CMX or IPT-SP group, 126 of 132 and 124 of 132, respectively, were included in the analysis. There were 33 confirmed cases of clinical malaria among 31 women in the CMX group, and 19 among 19 women in the IPT-SP group. Ninety-five of 126 (75.4%) women in the CMX group and 105 of 124 (84.7%) in the IPT-SP group remained malaria-free during their pregnancy (difference, 9.3%; 95% confidence interval [CI], -.53 to 19.1, not meeting the predefined noninferiority criterion). The incidence rate in intention-to-treat analysis was 108.8 malaria episodes per 100 person-years in CMX (95% CI, 105.4-112.2) and 90.1 in IPT-SP (95% CI, 86.8-93.4) (not significant). Prevalence of parasitemia was 16.7% in the CMX group vs 28% in the IPT-SP group (P = .02). Histology revealed 20.3% placental malaria in the CMX group vs. 24.6% in the IPT-SP group (not significant). Grade 3-4 anemia was more frequent in the CMX group (10% vs 4%; P = .008). No pregnant women died. Median birth weight was similar.


CONCLUSIONS
 Daily CMX was not noninferior to IPT-SP for preventing maternal malaria but safe and at least similar regarding parasitemia or placental malaria and birth outcomes. Clinical Trials Registration  ISRCTN98835811.
Evaluation of endometrial thickness with transvaginal ultrasonography and histopathology in premenopausal women with abnormal vaginal bleeding

This study was undertaken to investigate cut-off value of the endometrial thickness by transvaginal ultrasonography (TvUSG), and to detect the accuracy of preoperative Pipelle biopsy in premenopausal women with abnormal vaginal bleeding. This study was included 144 premenopausal women with abnormal bleeding. Their endometrial thickness was measured by TvUSG and then Pipelle endometrial biopsy was performed. Preoperative histopathologic findings of 57 women who were operated were compared with final histolopathologic examination. Of the 144 women, 113 (78.4%) had normal and 31 (21.6%) had an abnormal endometrium. The abnormal endometrium was composed of 11.8% hyperplasia (simple + atypical complex), 4.2% endometrial polyp, and 5.5% adenocarcinoma. An optimal sensitivity and specificity (83.6 and 56.4%, respectively) and negative predictive value with 95.6% for detection of abnormal endometrium were obtained with an endometrial thickness of 8 mm. The accuracy rate of preoperative Pipelle biopsy was 94.7% in a total of 57 women. An endometrial thickness >8 mm is more likely than that of 8 mm or less to be indicated with endometrial biopsy in premenopausal uterine bleeding. Pipelle endometrial biopsy is an accurate diagnostic procedure for the detection of high-grade endometrial lesions in premenopausal women.
Development and validation of a set of six adaptable prognosis prediction (SAP) models based on time-series real-world big data analysis for patients with cancer receiving chemotherapy: A multicenter case crossover study

BACKGROUND
We aimed to develop an adaptable prognosis prediction model that could be applied at any time point during the treatment course for patients with cancer receiving chemotherapy, by applying time-series real-world big data.


METHODS
Between April 2004 and September 2014, 4,997 patients with cancer who had received systemic chemotherapy were registered in a prospective cohort database at the Kyoto University Hospital. Of these, 2,693 patients with a death record were eligible for inclusion and divided into training (n = 1,341) and test (n = 1,352) cohorts. In total, 3,471,521 laboratory data at 115,738 time points, representing 40 laboratory items [e.g., white blood cell counts and albumin (Alb) levels] that were monitored for 1 year before the death event were applied for constructing prognosis prediction models. All possible prediction models comprising three different items from 40 laboratory items (40C3 = 9,880) were generated in the training cohort, and the model selection was performed in the test cohort. The fitness of the selected models was externally validated in the validation cohort from three independent settings.


RESULTS
A prognosis prediction model utilizing Alb, lactate dehydrogenase, and neutrophils was selected based on a strong ability to predict death events within 1-6 months and a set of six prediction models corresponding to 1,2, 3, 4, 5, and 6 months was developed. The area under the curve (AUC) ranged from 0.852 for the 1 month model to 0.713 for the 6 month model. External validation supported the performance of these models.


CONCLUSION
By applying time-series real-world big data, we successfully developed a set of six adaptable prognosis prediction models for patients with cancer receiving chemotherapy.
An Examination of the Factors Contributing to Adoption Decisions among Late-Diffused Technology Products

According to diffusion theory, consumer beliefs or perceptions of innovation attributes, along with external socioeconomic and media exposures, influence the decision to adopt an innovation. To examine the relative influence of beliefs, attitudes, and external variables, the current study synthesizes perspectives from the Technology Adoption Model (TAM) and diffusion theory, and presents an integrated model of consumer adoption. The article reports the results of a survey investigating the measurement model in predicting potential adoption by late adopters of cellular phones. The model confirms the importance of attitudes towards potential adoption. Also significant are the influence of media ownership on perceptions of advantage, observability, and compatibility of the innovation. Media use and change agent contacts significantly influence perceptions of complexity of the innovation. Age, income and occupation were the sociodemographic variables that indirectly influenced adoption intention. new media & society Copyright © 2003 SAGE Publications London, Thousand Oaks, CA and New Delhi Vol5(4):547–572 [1461–4448(200312)5:4,547–572;038273] ........................................................................................................................................................................................................................................................
ICT for Sustainability: An Emerging Research Field

This introductory chapter provides definitions of sustainability, sustainable development, decoupling, and related terms; gives an overview of existing interdisciplinary research fields related to ICT for Sustainability, including Environmental Informatics, Computational Sustainability, Sustainable HCI, and Green ICT; introduces a conceptual framework to structure the effects of ICT on sustainability; and provides an overview of this book.
OVARIAN HUGE SEROUS CYSTADENOMA IN ADOLESCENT GIRL: A CASE REPORT

Ovarian cysts are an extremely common gynecological problem in adolescent. Majority of ovarian cysts are benign with few cases being malignant. Ovarian serous cystadenoma are rare in children. A 14-year-old presented with abdominal pain and severe abdominal distention. She underwent laparotomy and after surgical removal, the mass was found to be ovarian serous cystadenoma on histology. In conclusions, germ cell tumors the most important causes for the giant ovarian masses in children. Epithelial tumors should not be forgotten in the differential diagnosis. Keyword: Adolescent; Ovarian Cysts/diagnosis*; Cystadenoma, Serous/surgery; Ovarian Neoplasms/surgery; Ovarian cystadenoma