nils-herrmann/clean_scirepeval huggingface dataset:
Effect of intravaginal dehydroepiandrosterone (DHEA) on the female sexual function in postmenopausal women: ERC 230 open label study
Venue: Hormone molecular biology and clinical investigation

Intravaginal DHEA (dehydroepiandrosterone, prasterone) the exclusive precursor of androgens and estrogens in postmenopausal women, has previously been shown to improve all the domains of sexual function by a strictly local action in the vagina. The well recognized female sexual function index (FSFI) questionnaire was used in the present study.  The long term effect of 52 week treatment with daily intravaginal 0.50% (6.5 mg) DHEA was evaluated on the various domains of female sexual function using the FSFI questionnaire at baseline, Week 26 and Week 52.  One hundred and fifty four postmenopausal women with at least one mild to severe symptom of vulvovaginal atrophy (VVA) and who have completed the FSFI questionnaire at baseline and at least one post baseline timepoint were included in the analysis.  The FSFI domains desire, arousal, lubrication, orgasm, satisfaction and pain were increased by 28% 49% 115% 51% 41% and 108% respectively (p<0.0001 for all parameters) at 52 weeks vs. baseline, while the total score was increased from 13.4+ 0.62 at baseline to 21.5+ 0.82 +60% p<0.0001) at 52 weeks.  As the serum levels of DHEA and all its metabolites, including estradiol and testosterone, show no meaningful change, the present clinical data indicate a stimulatory effect of intravaginal DHEA through a strictly local action in agreement with the preclinical data showing that the androgens made locally from DHEA in the vagina induce an increase in local nerve density.
LncRNA HOXA11 AS Promotes Proliferation and Invasion of Gastric Cancer by Scaffolding the Chromatin Modification Factors PRC2, LSD1, and DNMT1.
Venue: Cancer research

Long noncoding RNAs (lncRNA) have been implicated in human cancer but their mechanisms of action are mainly undocumented. In this study, we investigated lncRNA alterations that contribute to gastric cancer through an analysis of The Cancer Genome Atlas RNA sequencing data and other publicly available microarray data. Here we report the gastric cancer associated lncRNA HOXA11 AS as a key regulator of gastric cancer development and progression. Patients with high HOXA11 AS expression had a shorter survival and poorer prognosis. In vitro and in vivo assays of HOXA11 AS alterations revealed a complex integrated phenotype affecting cell growth, migration, invasion, and apoptosis. Strikingly, high throughput sequencing analysis after HOXA11 AS silencing highlighted alterations in cell proliferation and cell cell adhesion pathways. Mechanistically, EZH2 along with the histone demethylase LSD1 or DNMT1 were recruited by HOXA11 AS, which functioned as a scaffold. HOXA11 AS also functioned as a molecular sponge for miR 1297, antagonizing its ability to repress EZH2 protein translation. In addition, we found that E2F1 was involved in HOXA11 AS activation in gastric cancer cells. Taken together, our findings support a model in which the EZH2/HOXA11 AS/LSD1 complex and HOXA11 AS/miR 1297/EZH2 cross talk serve as critical effectors in gastric cancer tumorigenesis and progression, suggesting new therapeutic directions in gastric cancer. Cancer Res; 76(21) 6299 310. (c)2016 AACR.
Short range clutter suppression based on subspace projection preprocessing for airborne radar
Venue: 2016 CIE International Conference on Radar (RADAR)

For non side looking airborne radar, the azimuth Doppler clutter spectrum varies with elevation angle, creating range dependent clutter statistics. Generally, short range clutter statistics vary rapidly with range while long range clutter statistics vary slowly. In the range ambiguity case, the problem of clutter non stationary becomes even worse, and classical space time adaptive processing (STAP) algorithms suffer serious performance degradation. With the assumption of using a rectangular array, a subspace projection preprocessing scheme is proposed. In this technique, we first estimate the subspace corresponding to the short range clutter in the azimuth elevation domain for each range cell, and then the short range clutter is eliminated by subspace projection processing in the same domain. After that, the rectangular array data are synthesized into a linear array data, and the classical extended factored approach is adopted to cancel residual clutter. Simulation results demonstrate that the clutter range dependence can be effectively alleviated by the proposed scheme, and the STAP performance is enhanced.
The sociology of quantification perspectives on an emerging field in the social sciences

The introductory article to this HSR Special Issue presents the emerging field of sociology of quantification, which can be regarded as a transdisciplinary approach to the analysis of processes of quantification. Processes of categorization and classification are included because they can result in processes of generating figures and numbers also. The contribution sketches the science historical development of this field. It is argued that processes of quantification are related in many ways with other social and socio economic processes. Therefore, one can speak of a comprehensive political economy of statistics, quantification and categorization. Especially the works of the French statistician and sociologist Alain Desrosieres are an innovative and far reaching groundwork for the analysis of statistics, quantification and categorization. Also, Desrosieres has pointed to the fundamental role of conventions for processes of quantification (as for processes of categorization) and he has published important contributions to the French science movement of economics of convention (economie des conventions) At the end of the article, a set of positions for a sociology of quantification are presented.
Utilization of 1 GHz VCSEL for 11.1 Gbps OFDM VLC Wireless Communication
Venue: IEEE Photonics Journal

In this paper, we propose using an energy efficient and low cost 682 nm vertical cavity surface emitting laser (VCSEL) with 1 GHz modulation bandwidth for high speed wireless visible light communication (VLC) Moreover, by using spectral efficient orthogonal frequency division multiplexing (OFDM) modulation with bit and power loading algorithm, we successfully demonstrate VCSEL based transmission at 11.1 Gbps (10.2 Gbps in a raw data rate) over a free space length of 1.2 m under small bias current of 3.5 mA. Furthermore, decreasing the bias current as low as 2 mA, we can also demonstrate 10.5 Gbps (9.7 Gbps in a raw data rate) OFDM VLC transmission over a 1.2 m free space link. This proposed VCSEL based OFDM transmission system could be viewed as a cost effective and energy efficient approach for high speed 10 Gbps) laser diode wireless VLC application.
0.52 11.86 Gbit/s OFDM modulation for power sharing VLC transmission by using VCSEL laser.
Venue: Optics express

In this paper, we propose employing a 682 nm vertical cavity surface emitting laser (VCSEL) with 1 GHz bandwidth for high speed and power sharing wireless visible light communication (VLC) in the different transmission distances of 2 to 5 m. In the measurement, the data rate of 0.52 to 11.86 Gbit/s (0.44 to 10.8 Gbit/s in a net data rate) can be achieved by using spectral efficient orthogonal frequency division multiplexing (OFDM) modulation with bit loading algorithm. Therefore, 4 to 256 quadrature amplitude modulations (QAMs) are employed simultaneously in the modulation bandwidth for VCSEL based VLC. The proposed power sharing VLC system can be divided to four end users, when three beam splitters (BSs) are used simultaneously. Moreover, all of the measured bit error rates (BERs) are below the forward error correction (FEC) threshold (BER 3.8 x 10 3)
Erratum to: High rates of clinically relevant incidental findings by total body CT scanning in trauma patients: Results of the REACT 2 trial
Venue: European Radiology

A technical error led to incorrect rendering of the author group in this article. The correct authorship is as follows: K. Treskes1, S.A. Bos1, L.F.M. Beenen2, J.C. Sierink1, M.J.R. Edwards3, B.J.A. Beuker4 G.S.R. Muradin5, J. Hohmann6, J.S.K. Luitse1, M.W. Hollmann7, M.G.W. Dijkgraaf8, J.C. Goslings1, on behalf of the REACT 2 study group The collaborators are: T.P. Saltzherr, T. Schepers, V.M. de Jong, R. van Vugt, M. Brink, J. Peters, M. El Moumni, J.S. Harbers, K.W. Wendt, E.M.M. van Lieshout, M.J. Elzinga, E.H. Jansen, C. Zahringer, N. Bless, R. Bingisser The original publication has been corrected.
Generating Flight Operations Quality Assurance (foqa) data from the X Plane Simulation
Venue: 2016 Integrated Communications Navigation and Surveillance (ICNS)

Analysis of Flight Operations Quality Assurance (FOQA) data from millions of flights from at least 10 U.S. airlines has enabled researchers, using data mining and machine learning algorithms, to identify abnormal scenarios that maybe precursors to accidents and incidents. Innovation of these algorithms is hindered by restricted access to the FOQA data to comply with confidentiality, proprietary and security policies. This paper describes a method to generate larges sets of FOQA like data for development and testing of machine learning and data mining algorithms. This data is not restricted and can be made publicly available. The data is generated using a C+ plug in to the X Plane Simulation. The plug in manipulates the simulation set up configuration, the pilot commands, and coordinates a Monte Carlo shell to run multiple runs. An example for generating data for CAT III ILS approach for KSFO Runway 28L and 28R is described. Implications of this capability, limitations and future work are discussed.
Principal component analysis a tutorial

Dimensionality reduction is one of the preprocessing steps in many machine learning applications and it is used to transform the features into a lower dimension space. Principal component analysis (PCA) technique is one of the most famous unsupervised dimensionality reduction techniques. The goal of the technique is to find the PCA space, which represents the direction of the maximum variance of the given data. This paper highlights the basic background needed to understand and implement the PCA technique. This paper starts with basic definitions of the PCA technique and the algorithms of two methods of calculating PCA, namely, the covariance matrix and singular value decomposition (SVD) methods. Moreover, a number of numerical examples are illustrated to show how the PCA space is calculated in easy steps. Three experiments are conducted to show how to apply PCA in the real applications including biometrics, image compression, and visualisation of high dimensional datasets.
Principal component analysis a tutorial
Venue: Int. J. Appl. Pattern Recognit.

Dimensionality reduction is one of the preprocessing steps in many machine learning applications and it is used to transform the features into a lower dimension space. Principal Component Analysis (PCA) technique is one of the most famous unsupervised dimensionality reduction techniques. The goal of the PCA is to find the space, which represents the direction of the maximum variance of the given data. This paper highlights the basic background needed to understand and implement the PCA technique. This paper starts with basic definitions of the PCA technique and the algorithms of two methods of calculating PCA, namely, the covariance matrix and Singular Value Decomposition (SVD) methods. Moreover, a number of numerical examples are illustrated to show how the PCA space is calculated in easy steps. Three experiments are conducted to show how to apply PCA in the real applications including biometrics, image compression, and visualization of high dimensional datasets.
Investigation of Torsional Oscillations in Railway Vehicles

The development of semiconductor electro technics during last decades allowed us to produce railway vehicles with very high tractive power. High performances reveal new problems that were unknown until these days. One of these problems are torsional oscillations of running wheelsets, which may appear and compromise the safety of railway vehicles. This article analyzes dynamical events that may occur in drives of the vehicles and that are bound with transmission of the torque to the wheels during the operation of the vehicle, which is exposed to the variable external influences (adhesion conditions, track irregularities, variation of wheel forces, etc. This is based on the idea of a model of simplified drive of the real railway vehicle, which is used for simulation purposes. The model serves for the parametric analysis of individual components, to make an effective design or control remedy.
Why cellular communication during plant reproduction is particularly mediated by CRP signalling.
Venue: Journal of experimental botany

Secreted cysteine rich peptides (CRPs) represent one of the main classes of signalling peptides in plants. Whereas post translationally modified small non CRP peptides (psNCRPs) are mostly involved in signalling events during vegetative development and interactions with the environment, CRPs are overrepresented in reproductive processes including pollen germination and growth, self incompatibility, gamete activation and fusion as well as seed development. In this opinion paper we compare the involvement of both types of peptides in vegetative and reproductive phases of the plant lifecycle. Besides their conserved cysteine pattern defining structural features, CRPs exhibit hypervariable primary sequences and a rapid evolution rate. As a result, CRPs represent a pool of highly polymorphic signalling peptides involved in species specific functions during reproduction and thus likely represent key players to trigger speciation in plants by supporting reproductive isolation. In contrast, precursers of psNCRPs are proteolytically processed into small functional domains with high sequence conservation and act in more general processes. We discuss parallels in downstream processes of CRP signalling in both reproduction and defence against pathogenic fungi and alien pollen tubes, with special emphasis on the role of ROS and ion channels. In conclusion we suggest that CRP signalling during reproduction in plants has evolved from ancient defence mechanisms.
Family members' experience of intensive care unit support group: qualitative analysis of intervention

Family members of intensive care unit patients develop anxiety, depression and/or symptoms suggestive of risk for post traumatic stress. Nurse led support groups have been recommended and used in a variety of settings as a mechanism to help meet family needs and overcome challenges. These groups have been reported to increase the members' understanding of complex medical issues involved in their situations and to be helpful in identifying practical coping mechanisms.  To investigate the experiences of family members participating in a nurse social worker led support group in the intensive care unit.  prospective collection of family narratives during support group meetings. A qualitative analysis was done of the narratives of weekly routine nurse social worker led support group for family members of intensive care unit patients. The meeting contents are documented and related in the nursing notes.  level 1 trauma centre, at a university hospital, with 13 bed intensive care unit. During the past 3 years this family support group has been providing routine intervention with the purpose of calming the families of intensive care unit patients during crisis situations by utilizing nurse, social worker and group dynamics.  A qualitative analysis was performed on the content of support group dynamics. The principal themes found were Behavioural, Perceptual, Emotional and Supportive.  The family support group provides the participants with a 'tool box' of coping mechanisms, which they can choose from in this current unfamiliar crisis event. The group provides a supportive environment, mutuality, a sense of belonging, needs of community, unconditional acceptance and information provision for the participants in the group. Relevance to clinical practice In order to provide support for several families, nurses can use the family support group intervention as an effective technique in reaching as many families as possible. Narratives from family members during group meetings may be a good information source providing insights for nursing guidance and patient/family education.
Faktor Yang Mempengaruhi Tingkat Stres Orang Tua Pada Berat Badan Lahir Rendah (BBLR) Yang Di Rawat Di Unit Perawatan Intensif Neonatus RSUD DR. Moewardi Di Surakarta

Parents, Intensive Neonatal Care Unit. Treatment of LBW baby in intensive room has impact for parents such as: fear, guilty, stress and anxiety. Stres feeling for parents may not be ignored because, if feel stress, it makes parents can not care to the baby well. Objectives of the study was to know the factors which influence stress level of parents (ignorance of caring baby, less support system, coping mechanism and less communication among family) on LBW which is treated in Intensive Neonatal Care Unit at Dr. Moewardi Hospital. This type of research was analytic descriptive, cross sectional approachment at 30 parents LBW baby which is treated in Intensive Neonatal Care Unit at Dr. Moewardi Hospital on January April 2016. Sampling technique uses total sampling. Inklusi criteria of LBW parents in Intensive Neonatal Care Unit who become respondent. Eklusi criteria of LBW parents who has mental disorders and sick when they are give questionnaire. The level of stress is measured by using Deppresion Anxiety Stress Scale (DASS 42) and the factors which influence stress level (parents knowledge, coping mechanism and less communicaton among the family) used questionnaire in closed ended form. Analysis data used Lamda. Results was show that Ignorence of caring baby (p=0,022) less support system (p=0,044) and less communication among the family (p=0,010) effected to stress level. While, coping mechanism (p=0,056) does not effected to stress level.  Less support system, ignorance of caring baby and less communication among the family related with stress level.  Stress level, Low Brith Weight (LBW) Parents, Intensive Neonatal Care Unit Link OJS 3 artikel FAKTOR YANG MEMPENGARUHI TINGKAT STRES ORANG TUA PADA BERAT BADAN LAHIR RENDAH (BBLR) YANG DI RAWAT DI UNIT PERAWATAN INTENSIF NEONATUS RSUD DR. MOEWARDI DI SURAKARTA
Prioritizing critical success factors for reverse logistics implementation using fuzzy TOPSIS methodology

Electronics industry is one of the fastest growing industries in the world. In India also, there are high turnovers and growing demand of electronics product especially after post liberalization in early nineties. These products generate e waste which has become big environmental issue. Industries can handle these e waste and product returns efficiently by developing reverse logistics (RL) system. A thorough study of critical success factors (CSFs) and their ordered implementation is essential for successful RL implementation. The aim of the study is to review the CSFs, and to prioritize them for RL implementation in Indian electronics industry. Twelve CSFs were identified through literature review, and discussion with the experts from the Indian electronics industry. Fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) approach is proposed for prioritizing these CSFs. Perusal of literature indicates that fuzzy TOPSIS has not been applied earlier for prioritization of CSFs in Indian electronics industry. Five Indian electronics companies were selected for evaluation of this methodology. Results indicate that most of the identified factors are crucial for the RL implementation. Top management awareness, resource management, economic factors, and contracts terms and conditions are top four prioritized factor, and process capabilities and skilled workers is the least prioritized factor. The findings will be useful for successful RL implementation in Indian electronics industry.
Soil carbon sequestration and biochar as negative emission technologies.
Venue: Global change biology

Despite 20 years of effort to curb emissions, greenhouse gas (GHG) emissions grew faster during the 2000s than in the 1990s, which presents a major challenge for meeting the international goal of limiting warming to <2 degC relative to the preindustrial era. Most recent scenarios from integrated assessment models require large scale deployment of negative emissions technologies (NETs) to reach the 2 degC target. A recent analysis of NETs, including direct air capture, enhanced weathering, bioenergy with carbon capture and storage and afforestation/deforestation, showed that all NETs have significant limits to implementation, including economic cost, energy requirements, land use, and water use. In this paper, I assess the potential for negative emissions from soil carbon sequestration and biochar addition to land, and also the potential global impacts on land use, water, nutrients, albedo, energy and cost. Results indicate that soil carbon sequestration and biochar have useful negative emission potential (each 0.7 GtCeq. yr( 1) and that they potentially have lower impact on land, water use, nutrients, albedo, energy requirement and cost, so have fewer disadvantages than many NETs. Limitations of soil carbon sequestration as a NET centre around issues of sink saturation and reversibility. Biochar could be implemented in combination with bioenergy with carbon capture and storage. Current integrated assessment models do not represent soil carbon sequestration or biochar. Given the negative emission potential of SCS and biochar and their potential advantages compared to other NETs, efforts should be made to include these options within IAMs, so that their potential can be explored further in comparison with other NETs for climate stabilization.
Substantial role of macroalgae in marine carbon sequestration

Marine macroalgae are dominant primary producers in coastal zones. A review of the published literature suggests that macroalgae may play an important role in carbon sequestration. Vegetated coastal habitats have been identified as important carbon sinks. In contrast to angiosperm based habitats such as seagrass meadows, salt marshes and mangroves, marine macroalgae have largely been excluded from discussions of marine carbon sinks. Macroalgae are the dominant primary producers in the coastal zone, but they typically do not grow in habitats that are considered to accumulate large stocks of organic carbon. However, the presence of macroalgal carbon in the deep sea and sediments, where it is effectively sequestered from the atmosphere, has been reported. A synthesis of these data suggests that macroalgae could represent an important source of the carbon sequestered in marine sediments and the deep ocean. We propose two main modes for the transport of macroalgae to the deep ocean and sediments: macroalgal material drifting through submarine canyons, and the sinking of negatively buoyant macroalgal detritus. A rough estimate suggests that macroalgae could sequester about 173 TgC yr 1 (with a range of 61 268 TgC yr 1) globally. About 90% of this sequestration occurs through export to the deep sea, and the rest through burial in coastal sediments. This estimate exceeds that for carbon sequestered in angiosperm based coastal habitats.