To send content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about sending content to .
To send content items to your Kindle, first ensure firstname.lastname@example.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about sending to your Kindle.
Note you can select to send to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Unmanned Aerial Vehicles (UAVs), more popularly known as “drones,” have become emblematic of twenty-first century military technologies but scholars have yet to convincingly explain the drivers of UAV proliferation. Using the first systematic data set of UAV proliferation, this research note examines the spread of UAVs in the context of scholarly debates about interests versus capacity in explaining policy adoption. The results yield important insights for both IR scholarship and the policy-making community. While countries that experience security threats—including territorial disputes and terrorism—are more likely to seek UAVs, drone proliferation is not simply a function of the threat environment. We find evidence that democracies and autocracies are more likely than mixed regimes to develop armed UAV programs, and suggest that autocracies and democracies have their own unique incentives to acquire this technology. Moreover, supply-side factors play a role in the UAV proliferation process: a state's technological capacity is a strong predictor of whether it will obtain the most sophisticated UAVs. The theories and evidence we present challenge emerging views about UAV proliferation and shed useful light on how and why drones spread.
We report about first results of the RoboPol project. RoboPol is a large-sample, high-cadence, polarimetric monitoring program of blazars in optical wavelengths, using a camera specifically constructed for this project, mounted at the University of Crete's Skinakas Observatory 1.3 m telescope. The analysis of RoboPol data is conducted in conjunction with Fermi LAT gamma-ray data, and multifrequency radio data from the OVRO (Caltech), F-GAMMA (MPIfR), and Torun (NCU) monitoring programs. Using carefully selected samples of gamma-ray bright and weak blazars we investigate a connection between their optical polarization behaviour and variability properties in gamma. We examine a relationship of gamma flares with polarization angle rotations relying on robust statistical criteria. We analyse also the optical polarization variability itself in order to establish some restrictions on physical models of blazars jets.
We present the science case for ICE-T, the International Concordia Explorer Telescope, a double telescope optimized for ultra-high and ultra wide field optical time-series photometry from
Dome C. ICE-T consists of two 60 cm 8°×8°-FOV Schmidt telescopes for Sloan g and i photometry and one independent 25 cm, solar, full-disk, Ca ii-K imaging
telescope on a single mount. ICE-T is therefore operable during night and day. A 28 cm narrow-field Maksutov spectrophotometric telescope for night-time aerosol measurements (TAVERN-SP) will be
provided by AWI early on and operated in parallel with IRAIT and later with ICE-T. The low scintillation noise and the long continuous darkness are among the unique properties for high
precision optical time-series photometry.
Insulin resistance is frequently observed in critical illness. It can be quantified by the expensive and time-consuming euglycaemic hyperinsulinaemic clamp technique (M-value) and calculated indices of insulin resistance (Quantitative Insulin Sensitivity Check Index; QUICKI and Homeostasis Model Assessment; HOMA) with lower costs and efforts. We performed an observational study to assess the reliability of QUICKI and HOMA to evaluate insulin resistance in critically ill patients compared with the current gold standard method, the euglycaemic hyperinsulinaemic clamp technique.
Insulin resistance was measured in 30 critically ill medical patients by the euglycaemic hyperinsulinaemic clamp technique (M-value) as well as calculated using QUICKI and HOMA. Correlations between the M-values as well as QUICKI and HOMA were assessed by means of the Pearson’s correlation coefficient.
M-value, QUICKI and HOMA indicated insulin resistance in all 30 patients. However, both indices QUICKI and HOMA did not correlate with the M-values in our patients (r2 = 0.008 and 0.0005, respectively). A significant negative correlation was found between the M-value and the severity of illness assessed by the APACHE (Acute Physiology and Chronic Health Evaluation) III score (r2 = 0.16; P < 0.05). In contrast, neither HOMA nor QUICKI correlated with the APACHE III score (r2 = 0.034 and 0.033, respectively).
Although QUICKI and HOMA indicated insulin resistance in the critically ill medical patients, both indices did not correlate with the M-value. Therefore, the euglycaemic hyperinsulinaemic clamp technique remains the gold standard for estimating insulin resistance in critically ill patients.
To date, light emission by AlGaN-based heterostructures and LED's operating in the ultraviolet region is far less efficient than emission from longer wavelength structures based on GaInN. We have realized GaN/AlGaN quantum well structures emitting in the 360–320 nm range with peak room-temperature internal efficiencies reaching more than 20 %. From detailed studies of the temperature and excitation power dependence of the efficiency we find that excitons play a crucial role enhancing radiative recombination in such structures. Except for the peak internal efficiency, which reaches 73 % in GaInN/GaN, the overall behavior in GaN/AlGaN and GaInN/GaN is very similar, suggesting that the main difference is the nonradiative recombination mechanism.
Email your librarian or administrator to recommend adding this to your organisation's collection.