Egg banking in anticipation of age-related fertility decline : using medical technology for better, not for worse

<p><b>Particle size distributions as measured by the SMPS for a) Cigarette smoke particles b) Petrol exhaust particles.</b> The respective number size distributions for different times were aggregated to the total size distribution.</p

Neuroimaging in anxiety disorders

Neuroimaging studies have gained increasing importance in validating neurobiological network hypotheses for anxiety disorders. Functional imaging procedures and radioligand binding studies in healthy subjects and in patients with anxiety disorders provide growing evidence of the existence of a complex anxiety network, including limbic, brainstem, temporal, and prefrontal cortical regions. Obviously, “normal anxiety” does not equal “pathological anxiety” although many phenomena are evident in healthy subjects, however to a lower extent. Differential effects of distinct brain regions and lateralization phenomena in different anxiety disorders are mentioned. An overview of neuroimaging investigations in anxiety disorders is given after a brief summary of results from healthy volunteers. Concluding implications for future research are made by the authors

Ultrafine particles in Accra, Ghana: sources, concertinos and exposures

Although ultrafine particles (UFP) are still not extensively monitored around the world, there has been basically no monitoring of them in Africa. However, exposure to this fraction of particles is expected to be significant for the inhabitants of large African cities, with a variety of sources of combustion, from old cars and tracks, to the burning of residential waste, as well as indoor and outdoor open fire burning. It is unknown how much higher are the concentrations of UFP in African cities because of all these sources, compared to cities in high-economy countries, and which of the sources are the most significant. To answer these questions, the aim of this study was to measure concentrations and personal exposures of children in Accra, Ghana

Time series of particles number concentrations measured during the chamber experiments.

<p>a) Cigarette smoke particles in the size fraction: M1 ≤ 2.5 μm, M2 ≤ 2.5 μm, OPC ≤ 2.1 μm and SMPS = total PNC. b) Cigarette smoke particles in the size fraction: M1 ≤ 10 μm, M2 ≤ 10, OPC ≤ 7 μm and APS = total PNC. c) Petrol exhaust particles in the size fraction: M1 ≤ 2.5 μm, M2 ≤ 2.5 μm, OPC ≤ 2.1 μm and SMPS = total PNC. d) Petrol exhaust particles in the size fraction: M1 ≤ 10 μm, M2 ≤ 10 μm, OPC ≤ 7 μm and APS = total PNC. e) Concrete dust particles in the size fraction: M1 ≤ 2.5 μm, M2 ≤ 2.5 μm, OPC ≤ 2.1 μm and SMPS = total PNC. f) Concrete dust particles in the size fraction: M1 ≤ 10 μm, M2 ≤ 10 μm, OPC ≤ 7 μm and APS = total PNC. The black dotted vertical lines represent times at which the particles were introduced into the chamber.</p

Response of phones (M1 and M2) and formaldehyde analyser (FA) to varying concentrations of formaldehyde in chamber.

<p>Response of phones (M1 and M2) and formaldehyde analyser (FA) to varying concentrations of formaldehyde in chamber.</p

Time series of PM_2.5 concentrations measured during chamber experiments.

<p>a) Cigarette smoke particles measured by M1, M2 and DustTrak. b) Petrol exhaust particles measured by M1, M2 and DustTrak. c) Concrete dust particles measured by M1, M2 and DustTrak. d) Concrete dust particles measured by M1, M2 and APS. The black dotted vertical lines indicate the times at which the particles were introduced into the chamber.</p

Time series of mass concentrations at the Rocklea station measured by the phones and the TEOM.

<p>Time series of mass concentrations at the Rocklea station measured by the phones and the TEOM.</p