16,873 research outputs found
A method validation for simultaneous determination of phthalates and bisphenol A released from plastic water containers
Phthalates (or phthalate esters, PAEs) and bisphenol A (BPA) are widely used in various industries, particularly in the fields of cosmetics and packaging, and they increase the malleability and workability of materials. As a result of their use, some international health organizations have begun to study them. In this study, the authors developed a methodology for the simultaneous determination of dimethyl phthalate (DMP), diethyl phthalate (DEP), diisobutyl phthalate (DiBP); dibutyl phthalate (DBP), bis(2-ethylhexyl) phthalate (DEHP); di-n-octyl-phthalate (DnOP) and bisphenol A (BPA) from drinking and non-potable waters. The extraction of PAEs and BPA was performed using a solvent-based dispersive liquid-liquid microextraction (SB-DLLME) method. The analytical determination was performed using a gas chromatography-ion trap mass spectrometry (GC-IT/MS) analysis. The entire procedure was validated as recoveries were studied according to the volume and the extraction solvent used, pH, and ionic strength. Dynamic linearity ranges and linear equations of all the compounds were experimentally determined as well as the limit of detection (LOD) (1-8 ng mL-1) and the limit of quantification (LOQ) (5-14 ng mL-1), reproducibility, and sensitivity. The method was applied to 15 water samples (mineral water and tap water) for determining PAEs and BPA released from the plastic container. After the release simulation, four PAEs (i.e., DiBP, DBP, DHEP, and DnOP) were determined at very low concentrations (below 1.2 ng mL-1) in two water samples from (sport) bottles
On Some properties of Di-hadronic states
The binding energies of di- hadronic states have been calculated assuming a
'molecular' interaction provided by the asymptotic expression of the residual
confined gluon exchange potential between the component hadrons in the system.
Meson- meson and meson- baryon states have been studied in detail and a mass
formula has been used to calculate total mass of the 'molecules'.Comment: 11 page
In-vivo magnetic resonance imaging of hyperpolarized silicon particles
Silicon-based micro and nanoparticles have gained popularity in a wide range
of biomedical applications due to their biocompatibility and biodegradability
in-vivo, as well as a flexible surface chemistry, which allows drug loading,
functionalization and targeting. Here we report direct in-vivo imaging of
hyperpolarized 29Si nuclei in silicon microparticles by MRI. Natural physical
properties of silicon provide surface electronic states for dynamic nuclear
polarization (DNP), extremely long depolarization times, insensitivity to the
in-vivo environment or particle tumbling, and surfaces favorable for
functionalization. Potential applications to gastrointestinal, intravascular,
and tumor perfusion imaging at sub-picomolar concentrations are presented.
These results demonstrate a new background-free imaging modality applicable to
a range of inexpensive, readily available, and biocompatible Si particles.Comment: Supplemental Material include
Women's movements and female board representation
Scholars know relatively little about the potential impact of women's movements on gender diversity in the corporate world. We aim to fill this gap in the literature by providing the first empirical analysis of the relationship between women's movements and female representation on boards of directors. Drawing on political process theory, we argue that the strength of a women's movement is positively associated with its ability to increase the number of women on corporate boards. Moreover, we posit that the effect of women's movements on female board representation is moderated by corporate opportunity structures, that is, attributes of firms that make them more or less receptive to social movement activities. Three firm characteristics are particularly relevant in the context of boardroom gender diversity: reputation-seeking behavior, commitment to corporate social responsibility, and political orientation. Using firm-fixed effects models to analyze data on more than 2000 companies from 10 countries over a period of 10 years, we find support for three of our four hypotheses. Theoretical and practical implications are discussed
Stakeholder Marketing: Beyond the Four Ps and the Customer
[Excerpt] This year’s Stakeholder Marketing Conference was hosted by Boston University in partnership with The Aspen Institute and the Marketing Science Institute. Consortium members included leading scholars of business as well as senior practitioners who were tasked with pushing scholarly debate in marketing to include often neglected stakeholders (i.e. employees, investors, society at large, and regulators). Building on the previous year’s conference in Aspen, Colorado, the conference focused on the complexities of marketing to different stakeholders and the difficult role of managing the often divergent interests of multiple stakeholders.
Key topics of discussion included:
• Stakeholder Orientation: Why Now? What’s the Rush?
• Shareholder vs. Stakeholder: Conflict or Harmony?
• Creating a Stakeholder Orientated Organization
• Implementing Stakeholder Orientated Marketing Strategies
• Measuring Stakeholder Orientation Effectivenes
Repeating Spatial-Temporal Motifs of CA3 Activity Dependent on Engineered Inputs from Dentate Gyrus Neurons in Live Hippocampal Networks.
Anatomical and behavioral studies, and in vivo and slice electrophysiology of the hippocampus suggest specific functions of the dentate gyrus (DG) and the CA3 subregions, but the underlying activity dynamics and repeatability of information processing remains poorly understood. To approach this problem, we engineered separate living networks of the DG and CA3 neurons that develop connections through 51 tunnels for axonal communication. Growing these networks on top of an electrode array enabled us to determine whether the subregion dynamics were separable and repeatable. We found spontaneous development of polarized propagation of 80% of the activity in the native direction from DG to CA3 and different spike and burst dynamics for these subregions. Spatial-temporal differences emerged when the relationships of target CA3 activity were categorized with to the number and timing of inputs from the apposing network. Compared to times of CA3 activity when there was no recorded tunnel input, DG input led to CA3 activity bursts that were 7× more frequent, increased in amplitude and extended in temporal envelope. Logistic regression indicated that a high number of tunnel inputs predict CA3 activity with 90% sensitivity and 70% specificity. Compared to no tunnel input, patterns of >80% tunnel inputs from DG specified different patterns of first-to-fire neurons in the CA3 target well. Clustering dendrograms revealed repeating motifs of three or more patterns at up to 17 sites in CA3 that were importantly associated with specific spatial-temporal patterns of tunnel activity. The number of these motifs recorded in 3 min was significantly higher than shuffled spike activity and not seen above chance in control networks in which CA3 was apposed to CA3 or DG to DG. Together, these results demonstrate spontaneous input-dependent repeatable coding of distributed activity in CA3 networks driven by engineered inputs from DG networks. These functional configurations at measured times of activation (motifs) emerge from anatomically accurate feed-forward connections from DG through tunnels to CA3
New Variations of the Maximum Coverage Facility Location Problem
Consider a competitive facility location scenario where, given a set U of n users and a set F of m facilities in the plane, the objective is to place a new facility in an appropriate place such that the number of users served by the new facility is maximized. Here users and facilities are considered as points in the plane, and each user takes service from its nearest facility, where the distance between a pair of points is measured in either L1 or L2 or L∞ metric. This problem is also known as the maximum coverage (MaxCov) problem. In this paper, we will consider the k-MaxCov problem, where the objective is to place k (⩾1) new facilities such that the total number of users served by these k new facilities is maximized. We begin by proposing an O(nlogn) time algorithm for the k-MaxCov problem, when the existing facilities are all located on a single straight line and the new facilities are also restricted to lie on the same line. We then study the 2-MaxCov problem in the plane, and propose an O(n2) time and space algorithm in the L1 and L∞ metrics. In the L2 metric, we solve the 2-MaxCov problem in the plane in O(n3logn) time and O(n2logn) space. Finally, we consider the 2-Farthest-MaxCov problem, where a user is served by its farthest facility, and propose an algorithm that runs in O(nlogn) time, in all the three metrics
The free energy of the Potts model: from the continuous to the first-order transition region
We present a large expansion of the 2d -states Potts model free
energies up to order 9 in . Its analysis leads us to an ansatz
which, in the first-order region, incorporates properties inferred from the
known critical regime at , and predicts, for , the
energy cumulant scales as the power of the correlation length. The
parameter-free energy distributions reproduce accurately, without reference to
any interface effect, the numerical data obtained in a simulation for
with lattices of linear dimensions up to L=50. The pure phase specific heats
are predicted to be much larger, at , than the values extracted from
current finite size scaling analysis of extrema. Implications for safe
numerical determinations of interface tensions are discussed.Comment: 11 pages, plain tex with 3 Postscript figures included Postscript
file available by anonymous ftp://amoco.saclay.cea.fr/pubs.spht/93-022.p
Dissipation of angular momentum in light heavy ion collision
The inclusive energy distributions of fragments (4Z7) emitted in
the reactions O (116 MeV) + Al, Si, Ne (145 MeV) +
Al, Co have been measured in the angular range =
10 - 65. Fusion-fission and deep inelastic components of the
fragment emission have been extracted from the experimental data. The angular
mometum dissipations in fully damped deep inelastic collisions have been
estimated assming exit channel configuration similar to those for
fusion-fission process. It has been found that, the angular momentum
dissipations are more than those predicted by the empirical sticking limit in
all cases. The deviation is found to increase with increasing charge transfer
(lighter fragments). Qualitatively, this may be due to stronger friction in the
exit channel. Moreover, for the heavier system Ne + Co, the
overall magnitude of deviation is less as compared to those for the lighter
systems, {\it i.e.}, O + Al, Si, Ne + Al.
This may be due to lesser overlap in time scales of fusion and deep inelastic
time scales for heavier systems.Comment: 15 pages, 9 figures, accepted for publication in Phys. Rev.
2D Potts Model Correlation Lengths: Numerical Evidence for at
We have studied spin-spin correlation functions in the ordered phase of the
two-dimensional -state Potts model with , 15, and 20 at the
first-order transition point . Through extensive Monte Carlo
simulations we obtain strong numerical evidence that the correlation length in
the ordered phase agrees with the exactly known and recently numerically
confirmed correlation length in the disordered phase: . As a byproduct we find the energy moments in the ordered phase
at in very good agreement with a recent large -expansion.Comment: 11 pages, PostScript. To appear in Europhys. Lett. (September 1995).
See also http://www.cond-mat.physik.uni-mainz.de/~janke/doc/home_janke.htm
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