LLukas22/scidocs huggingface dataset:
On-line sequential injection dispersive liquid-liquid microextraction system for flame atomic absorption spectrometric determination of copper and lead in water samples.

A simple, sensitive and powerful on-line sequential injection (SI) dispersive liquid-liquid microextraction (DLLME) system was developed as an alternative approach for on-line metal preconcentration and separation, using extraction solvent at microlitre volume. The potentials of this novel schema, coupled to flame atomic absorption spectrometry (FAAS), were demonstrated for trace copper and lead determination in water samples. The stream of methanol (disperser solvent) containing 2.0% (v/v) xylene (extraction solvent) and 0.3% (m/v) ammonium diethyldithiophosphate (chelating agent) was merged on-line with the stream of sample (aqueous phase), resulting a cloudy mixture, which was consisted of fine droplets of the extraction solvent dispersed entirely into the aqueous phase. By this continuous process, metal chelating complexes were formed and extracted into the fine droplets of the extraction solvent. The hydrophobic droplets of organic phase were retained into a microcolumn packed with PTFE-turnings. A portion of 300 microL isobutylmethylketone was used for quantitative elution of the analytes, which transported directly to the nebulizer of FAAS. All the critical parameters of the system such as type of extraction solvent, flow-rate of disperser and sample, extraction time as well as the chemical parameters were studied. Under the optimum conditions the enhancement factor for copper and lead was 560 and 265, respectively. For copper, the detection limit and the precision (R.S.D.) were 0.04 microg L(-1) and 2.1% at 2.0 microg L(-1) Cu(II), respectively, while for lead were 0.54 microg L(-1) and 1.9% at 30.0 microg L(-1) Pb(II), respectively. The developed method was evaluated by analyzing certified reference material and applied successfully to the analysis of environmental water samples.
Intravascular Complications of Central Venous Catheterization by Insertion Site.

BACKGROUND
Three anatomical sites are commonly used to insert central venous catheters, but insertion at each site has the potential for major complications.


METHODS
In this multicenter trial, we randomly assigned nontunneled central venous catheterization in patients in the adult intensive care unit (ICU) to the subclavian, jugular, or femoral vein (in a 1:1:1 ratio if all three insertion sites were suitable [three-choice scheme] and in a 1:1 ratio if two sites were suitable [two-choice scheme]). The primary outcome measure was a composite of catheter-related bloodstream infection and symptomatic deep-vein thrombosis.


RESULTS
A total of 3471 catheters were inserted in 3027 patients. In the three-choice comparison, there were 8, 20, and 22 primary outcome events in the subclavian, jugular, and femoral groups, respectively (1.5, 3.6, and 4.6 per 1000 catheter-days; P=0.02). In pairwise comparisons, the risk of the primary outcome was significantly higher in the femoral group than in the subclavian group (hazard ratio, 3.5; 95% confidence interval [CI], 1.5 to 7.8; P=0.003) and in the jugular group than in the subclavian group (hazard ratio, 2.1; 95% CI, 1.0 to 4.3; P=0.04), whereas the risk in the femoral group was similar to that in the jugular group (hazard ratio, 1.3; 95% CI, 0.8 to 2.1; P=0.30). In the three-choice comparison, pneumothorax requiring chest-tube insertion occurred in association with 13 (1.5%) of the subclavian-vein insertions and 4 (0.5%) of the jugular-vein insertions.


CONCLUSIONS
In this trial, subclavian-vein catheterization was associated with a lower risk of bloodstream infection and symptomatic thrombosis and a higher risk of pneumothorax than jugular-vein or femoral-vein catheterization. (Funded by the Hospital Program for Clinical Research, French Ministry of Health; ClinicalTrials.gov number, NCT01479153.).
Exploratory spatio-temporal visualization: an analytical review

Current software tools for visualization of spatio-temporal data, on the one hand, utilize the opportunities provided by modern computer technologies, on the other hand, incorporate the legacy from the conventional cartography. We have considered existing visualization-based techniques for exploratory analysis of spatio-temporal data from two perspectives: (1) what types of spatio-temporal data they are applicable to; (2) what exploratory tasks they can potentially support. The technique investigation has been based on an operational typology of spatio-temporal data and analytical tasks we specially devised for this purpose. The result of the study is a structured inventory of existing exploratory techniques related to the types of data and tasks they are appropriate for. This result is potentially helpful for data analysts—users of geovisualization tools: it provides guidelines for selection of proper exploratory techniques depending on the characteristics of data to analyze and the goals of analysis. At the same time the inventory as well as the suggested typology of tasks could be useful for tool designers and developers of various domain-specific geovisualization applications. The designers can, on the one hand, see what task types are insufficiently supported by the existing tools and direct their creative activities towards filling the gaps, on the other hand, use the techniques described as basic elements for building new, more sophisticated ones. The application developers can, on the one hand, use the task and data typology in the analysis of potential user needs, on the other hand, appropriately select and combine existing tools in order to satisfy these needs. r 2003 Elsevier Ltd. All rights reserved. ARTICLE IN PRESS *Corresponding author. Tel.: +49-2241-142329, +49-2241-142486; fax: +49-2241-142072. E-mail addresses: natalia.andrienko@ais.fraunhofer.de (N. Andrienko), gatalsky@ais.fhg.de (P. Gatalsky). URL: http://www.ais.fraunhofer.de/SPADE. 1045-926X/$ see front matter r 2003 Elsevier Ltd. All rights reserved. doi:10.1016/S1045-926X(03)00046-6
The effects of supplementation with sunflower and soybean oils on the fatty acid profile of milk fat from grazing dairy cows

The objective of this study was to observe the effect of supplementation with vegetable oils (VO) on the fatty acid profiles and conjugated linoleic acid (CLA) content of milk fat. Twelve dairy cows in mid lactation fed on pasture were blocked by body weight, milk production and days in lactation and randomly allocated from blocks to 3 treatments repeated in a Latin square design with periods of 28 day duration. The treatments were as follows: cows on pasture supplemented with 5 kg concentrate per head per day (C), supplemented with 4.5 kg concentrate + 0.5 kg sunflower oil per head per day (SFO) and supplemented with 4.5 kg concentrate + 0.5 kg soybean oil per head per day (SBO). The animals were grazed as a group and were stocked at 2.5 heads per hectare. The treatments had no effect on milk yield or protein yield and content, but decreased milk fat yield and content (P < 0.05). Milk fat from the cows supplemented with VO had a lower concentration of short and medium chain fatty acids (P < 0.05) and a higher concentration of long chain fatty acids (P < 0.05). The addition of VO to the diet also resulted in a reduction in saturated and an increase in unsaturated fatty acids of milk fat (P < 0.05). The hypercholesterolemic fatty acids in milk fat (i.e. C12:0, C14:0 and C16:0) decreased while the concentration of oleic and linoleic acids increased with VO (P < 0.05). There was no effect on linolenic acid. Finally, the inclusion of VO in the diet increased (P < 0.05) the contents in milk fat of the various cis/trans isomers of oleic acid (including trans-vacenic, TVA) and of CLA which increased by 61%. dairy cow / conjugated linoleic acid / fatty acids / pasture / vegetable oils Résumé – Effet de la supplémentation du régime avec de l’huile de tournesol ou de soja sur la composition en acides gras du lait chez la vache laitière au pâturage. L’objectif de cette étude était d’observer l’effet de la supplémentation du régime en huiles végétales sur le profil des acides gras et la teneur en acide linoléique conjugué (CLA) dans les matières grasses du lait. Douze vaches laitières, en milieu de lactation et au pâturage, ont été mises en lot selon le poids vif, la production * Corresponding author: orego@angra.uac.pt
Performance-based health monitoring, diagnostics and prognostics for condition-based maintenance of gas turbines: A review

With the privatization and intense competition that characterize the volatile energy sector, the gas turbine industry currently faces new challenges of increasing operational flexibility, reducing operating costs, improving reliability and availability while mitigating the environmental impact. In this complex, changing sector, the gas turbine community could address a set of these challenges by further development of high fidelity, more accurate and computationally efficient engine health assessment, diagnostic and prognostic systems. Recent studies have shown that engine gas-path performance monitoring still remains the cornerstone for making informed decisions in operation and maintenance of gas turbines. This paper offers a systematic review of recently developed engine performance monitoring, diagnostic and prognostic techniques. The inception of performance monitoring and its evolution over time, techniques used to establish a highquality dataset using engine model performance adaptation, and effects of computationally intelligent techniques on promoting the implementation of engine fault diagnosis are reviewed. Moreover, recent developments in prognostics techniques designed to enhance the maintenance decision-making scheme and main causes of gas turbine performance deterioration are discussed to facilitate the fault identification module. The article aims to organize, evaluate and identify patterns and trends in the literature as well as recognize research gaps and recommend new research areas in the field of gas turbine performance-based monitoring. The presented insightful concepts provide experts, students or novice researchers and decision-makers working in the area of gas turbine engines with the state of the art for performance-based condition monitoring.
A conceptual framework and classification of capability areas for business process maturity

A conceptual framework and classification of capability areas for business process maturity Amy Van Looy a b , Manu De Backer a b c d & Geert Poels b a Faculty of Business Administration and Public Administration – Department of Management and ICT, University College Ghent, Ghent, Belgium b Faculty of Economics and Business Administration – Department of Management Information Science and Operations Management, Ghent University, Ghent, Belgium c Faculty of Applied Economics – Department of Management Information Systems, University of Antwerp, Antwerp, Belgium d Faculty of Business and Economics – Department of Management Informatics, K.U.Leuven, Leuven, Belgium Version of record first published: 24 May 2012.
Adherence to cancer prevention guidelines and cancer incidence, cancer mortality, and total mortality: a prospective cohort study.

BACKGROUND
Several health agencies have issued guidelines promoting behaviors to reduce chronic disease risk; however, little is known about the impact of such guidelines, particularly on cancer incidence.


OBJECTIVE
The objective was to determine whether greater adherence to the American Cancer Society (ACS) cancer prevention guidelines is associated with a reduction in cancer incidence, cancer mortality, and total mortality.


DESIGN
The NIH-AARP Diet and Health Study, a prospective cohort study of 566,401 adults aged 50-71 y at recruitment in 1995-1996, was followed for a median of 10.5 y for cancer incidence, 12.6 y for cancer mortality, and 13.6 y for total mortality. Participants who reported a history of cancer or who had missing data were excluded, yielding 476,396 subjects for analysis. We constructed a 5-level score measuring adherence to ACS guidelines, which included baseline body mass index, physical activity, alcohol intake, and several aspects of diet. Cox proportional hazards models were used to compute HRs and 95% CIs for the association of the adherence score with cancer incidence, cancer mortality, and total mortality. All analyses included fine adjustment for cigarette smoking.


RESULTS
Among 476,396 participants, 73,784 incident first cancers, 16,193 cancer deaths, and 81,433 deaths from all causes were identified in the cohort. Adherence to ACS guidelines was associated with reduced risk of all cancers combined: HRs (95% CIs) for the highest compared with the lowest level of adherence were 0.90 (0.87, 0.93) in men and 0.81 (0.77, 0.84) in women. Fourteen of 25 specific cancer sites showed a reduction in risk associated with increased adherence. Adherence was also associated with reduced cancer mortality [HRs (95% CIs) were 0.75 (0.70, 0.80) in men and 0.76 (0.70, 0.83) in women] and reduced all-cause mortality [HRs (95% CIs) were 0.74 (0.72, 0.76) in men and 0.67 (0.65, 0.70) in women].


CONCLUSIONS
In both men and women, adherence to the ACS guidelines was associated with reductions in all-cancer incidence and the incidence of cancer at specific sites, as well as with reductions in cancer mortality and total mortality. These data suggest that, after accounting for cigarette smoking, adherence to a set of healthy behaviors may have considerable health benefits.
Security Issues and Challenges for Cyber Physical System

In this paper, we investigate the security challenges and issues of cyber-physical systems. (1)We abstract the general workflow of cyber physical systems, (2)identify the possible vulnerabilities, attack issues, adversaries characteristics and a set of challenges that need to be addressed, (3)then we also propose a context-aware security framework for general cyber-physical systems and suggest some potential research areas and problems.
Wiring and Volume Transmission in Rat Amygdala. Implications for Fear and Anxiety

The amygdala plays a key role in anxiety. Information from the environment reaches the amygdaloid basolateral nucleus and after its processing is relayed to the amygdaloid central nucleus where a proper anxiogenic response is implemented. Experimental evidence indicates that in this information transfer a GABAergic interface controls the trafficking of impulses between the two nuclei. Recent work indicates that interneuronal communication can take place by classical synaptic transmission (wiring transmission) and by volume transmission in which the neurotransmitter diffuses and flows through the extracellular space from its site of release and binds to extrasynaptic receptors at various distances from the source. Based on evidence from our laboratory the concept is introduced that neurotransmitters in the amygdala can modulate anxiety involving changes in fear learning and memories by effects on receptor mosaics in the fear circuits through wiring and volume transmission modes of communication.
Estimating the relative contributions of maternal genetic, paternal genetic and intrauterine factors to offspring birth weight and head circumference

BACKGROUND
Genetic factors and the prenatal environment contribute to birth weight. However, very few types of study design can disentangle their relative contribution.


AIMS
To examine maternal genetic and intrauterine contributions to offspring birth weight and head circumference. To compare the contribution of maternal and paternal genetic effects.


STUDY DESIGN
Mothers and fathers were either genetically related or unrelated to their offspring who had been conceived by in vitro fertilization.


SUBJECTS
423 singleton full term offspring, of whom 262 were conceived via homologous IVF (both parents related), 66 via sperm donation (mother only related) and 95 via egg donation (father only related).


MEASURES
Maternal weight at antenatal booking, current weight and maternal height. Paternal current weight and height were all predictors. Infant birth weight and head circumference were outcomes.


RESULTS
Genetic relatedness was the main contributing factor between measures of parental weight and offspring birth weight as correlations were only significant when the parent was related to the child. However, there was a contribution of the intrauterine environment to the association between maternal height and both infant birth weight and infant head circumference as these were significant even when mothers were unrelated to their child.


CONCLUSIONS
Both maternal and paternal genes made contributions to infant birth weight. Maternal height appeared to index a contribution of the intrauterine environment to infant growth and gestational age. Results suggested a possible biological interaction between the intrauterine environment and maternal inherited characteristics which suppresses the influence of paternal genes.
How can Supersymmetry be used in a Simple Quantum Cosmological Model

The general theory of N=1 supergravity with supermatter is applied to a Bianchi type IX diagonal model. The supermatter is constituted by a complex scalar eld and its spin-1 2 fermionic partners. The Lorentz invariant Ansatz for the wave function of the universe, , is taken to be as simple as possible in order to obtain new solutions. The wave function has a simple form when the potential energy term is set to zero. However, neither the wormhole or the Hartle-Hawking state could be found. The Ansatz for used in this paper is constrasted with the more general framework of R. Graham and A. Csordd as. A quantum gravity theory constitutes a desirable goal in theoretical physics as it could lead to a proper uniication of all know interactions within a quantum mechanical point of view. The inclusion of supersymmetry in quantum gravity and cosmology allowed a number of interesting results and conclusions to be achieved in the last ten years or so. Several approaches may be found in the literature, namely the triad ADM canonical formulation, the ?model supersymmetric extension in quantum cosmology, and another approach based on Ashtekar variables (see ref. 1,2] and references therein). The canonical quantization framework of N=1 (pure) supergravity was presented in ref. 3]. It has been pointed out that it would be suucient, in nding a physical state, to solve the Lorentz and supersymmetry constraints of the theory due to the algebra of constraints of the theory. The presence of local supersymmetry could also contribute to the removal of divergences. Moreover, the supersymmetry constraints provide a Dirac-like square root of the second order Wheeler-DeWitt equation. Hence, we were led to solve instead a set of coupled rst-order diierential equations which ought to satisfy. As a result, simple forms for were obtained, representing states such as the Hartle-Hawking (no-boundary) solution or the (ground state) wormhole solution 4]. Most of these results seemed then to emphasize a particular basic track, where a Dirac-like square-root structure is used to obtain directly any physical states. However, this back to basics line*** is not the whole story. On the one hand, it seemed that the gravitational and gravitino modes that were allowed to be excited
Synthesis of new ethynylbipyridine-linked mono- and bis-tetrathiafulvalenes: electrochemical, spectroscopic, and Ru(II)-binding studies

Two new ethynylbipyridine-linked monoand bis-tetrathiafulvalene (TTF) derivatives, together with a Ru(II) complex, were synthesized using Sonogashira coupling reactions and characterized by UV/vis spectroscopy and cyclic voltammetry. They display a clear electrochemically amphoteric behavior consisting of two reversible single-electron oxidation waves (typical for TTF derivatives) and one reversible single-electron reduction wave (bpy) and act as donoreacceptor (DeA) systems. Furthermore, for the Ru(II) complex, a quite intense fluorescence originating from the MLCT state is observed. 2007 Elsevier Ltd. All rights reserved.
An empirical study of machine learning techniques for affect recognition in human–robot interaction

Given the importance of implicit communication in human interactions, it would be valuable to have this capability in robotic systems wherein a robot can detect the motivations and emotions of the person it is working with. Recognizing affective states from physiological cues is an effective way of implementing implicit human–robot interaction. Several machine learning techniques have been successfully employed in affect-recognition to predict the affective state of an individual given a set of physiological features. However, a systematic comparison of the strengths and weaknesses of these methods has not yet been done. In this paper, we present a comparative study of four machine learning methods—K-Nearest Neighbor, Regression Tree (RT), Bayesian Network and Support Vector Machine (SVM) as applied to the domain of affect recognition using physiological signals. The results showed that SVM gave the best classification accuracy even though all the methods performed competitively. RT gave the next best classification accuracy and was the most space and time efficient.
Performance of genotypic tropism testing on proviral DNA in clinical practice: results from the DIVA study group.

OBJECTIVE
The DIVA study is aimed at setting up a standardized genotypic tropism-testing on proviral-DNA for the routine clinical diagnostic-laboratory.


METHODS
Twelve local centres and 5 reference centres (previously cross-validated) were identified. For inter-center validation-procedure, 60 peripheral-blood mononuclear cells (PBMCs) aliquots from 45 HAART-treated patients were randomly chosen for population V3 sequencing on proviral-DNA at local HIV centre and at reference-laboratory. Viral tropism was predicted by Geno2Pheno algorithm (False Positive Rate [FPR] = 20%) as proposed by the European-Guidelines. Quantification of total HIV-1 DNA was based on a method described by Viard (2004).


RESULTS
Quantification of HIV-1 DNA was available for 35/45 (77.8%) samples, and gave a median value of 598 (IQR:252- 1,203) copies/10 PBMCs. A total of 56/60 (93.3%) samples were successfully amplified by both the reference and the local virological centers. The overall concordance of tropism prediction between local and reference centers was 54/56 (96.4%). Results of tropism prediction by local centers were: 33/54 (61.1%) R5 and 21/54 (38.9%) X4/DM.


CONCLUSION
There was high concordance in the genotypic tropism prediction based on proviral DNA among different virological centers throughout Italy. Our results are in line with other European studies, and support the use of genotypic tropism testing on proviral DNA in patients with suppressed plasma HIV-1 RNA candidate to CCR5-antagonist treatment.