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Indigenous Knowledge in Disaster Risk Reduction

The importance of indigenous knowledge in reducing risk from disasters andnatural calamities has been widely discussed in the social sciences by scholarsarguing for integrative frameworks and participatory processes. This type ofknowledge is vital for archipelagic developing countries, such as the Philippines, situated in a geographical area exposed to natural hazards. However, despite itspotentia

Complex evolution of photoluminescence during phase segregation of MAPb(I1-xBrx)3 mixed halide perovskite

Under illumination, the photoluminescence of a mixed-halide perovskite such as MAPb(I1-xBrx)3 is known to undergo a significant intensity enhancement while spectrally shifting to lower energies. The evolution of low energy photoluminescence is attributed to the formation of iodide rich domains due to phase segregation. This process is detrimental for optoelectronic devices however the mechanism is

Do Money, Power, Family and Connections Really Matter in Politics? Analysing Factors of Success in the 2010, 2013 and 2016 Philippine Senatorial Elections

Myriad debates in electoral politics have drawn attention to the importance of and risks to genuine democracy brought about by factors such as campaign spending, incumbency, political party affiliation and political dynasties. However, only a few studies utilize integrative and multivariate approaches to understanding the contribution of these factors, and this is even rarer for studies on the Phi

Performance investigation on twisted elliptical tube heat exchangers with coupling-vortex square tube layout

The twisted elliptical tube heat exchangers with the novel coupling-vortex chessboard tube layout (TETHXs-CV) were simulated with the RNG k-ε model in software Fluent 15.0. The shell-side flow pattern at the tangential points between adjacent tubes in traditional TETHX is countercurrent while that in TETHX-CV is concurrent, which helps enhance heat transfer capability without any extra manufacturi

Continental-scale land surface phenology from harmonized Landsat 8 and Sentinel-2 imagery

Dense time series of Landsat 8 and Sentinel-2 imagery are creating exciting new opportunities to monitor, map, and characterize temporal dynamics in land surface properties with unprecedented spatial detail and quality. By combining imagery from the Landsat 8 Operational Land Imager and the MultiSpectral Instrument on-board Sentinel-2A and -2B, the remote sensing community now has access to modera

Luminescence of divalent lanthanide doped BaBrI single crystal under synchrotron radiation excitations

Luminescence excitation spectra of BaBrI single crystals doped by divalent lanthanide ions are studied using synchrotron radiation excitations from the MAX IV 1.5 GeV storage ring. The energy of the edge and the formation of core cation exciton as well as the energy threshold of the multiplications of electronic excitations is found. It was clearly established the energy transfer from intrinsic lu

Introducing reinforcement learning to the energy system design process

Design optimization of distributed energy systems has become an interest of a wider group of researchers due the capability of these systems to integrate non-dispatchable renewable energy technologies such as solar PV and wind. White box models, using linear and mixed integer linear programing techniques, are often used in their design. However, the increased complexity of energy flow (especially

Exploration of jet substructure using iterative declustering in pp and Pb–Pb collisions at LHC energies

The ALICE collaboration at the CERN LHC reports novel measurements of jet substructure in pp collisions at s=7 TeV and central Pb–Pb collisions at sNN=2.76 TeV. Jet substructure of track-based jets is explored via iterative declustering and grooming techniques. We present the measurement of the momentum sharing of two-prong substructure exposed via grooming, the zg, and its dependence on the openi

Exploring publication productivity in the Philippines: A 10-year gendered analysis of six academic disciplines

This article presents a gendered analysis exploring publication productivity in the Philippines using bibliometric data from the Web of Science. It investigates the temporal pattern of journal article publications for six disciplines, its gendered distribution, differences between disciplines, patterns of authorship and collaboration, and how much women authors contribute and participate in resear

Expanding the EU Internal Market without Enlarging the Union: Constitutional Limitations

One of the most significant roles of the EU in the world is that of being a norms exporter. The EU has concluded numerous agreements with countries in its neighbourhood with the aim of encouraging third countries to adopt EU acquis in exchange for access to the internal market. The most ambitious of these agreements are the three multilateral agreements establishing the European Economic Area, the

D-wave effects in diffractive electroproduction of heavy quarkonia from the photon-like V→ QQ¯ transition

We analyse the validity of a commonly used identification between structures of the virtual photon γ∗→ QQ¯ and vector meson V→ QQ¯ transitions. In the existing studies of S-wave vector-meson photoproduction in the literature, such an identification is typically performed in the light-front (LF) frame while the radial component of the meson wave function is rather postulated than computed from the

Prompt hadroproduction of ηc(1S, 2S) in the kT-factorization approach

In this work, we present a thorough analysis of ηc(1S, 2S) quarkonia hadroproduction in k⊥-factorisation in the framework of the light-front potential approach for the quarkonium wave function. The off-shell matrix elements for the g*g*ηc(1S, 2S) vertices are derived. We discuss the importance of taking into account the gluon virtualities. We present the transverse momentum distributions of ηc for

The value of travel guidebooks in the digital age

Travel guidebooks are both travel information channels and objects of consumption. In contemporary tourism, Information and Communication Technologies (ICT) make information abundant and mostly free of charge. Therefore, as tourists still buy them, there must be something that makes guidebooks a valuable object. This research aims at understanding the value of travel guidebooks in the digital age.

Beta secretase 1-dependent amyloid precursor protein processing promotes excessive vascular sprouting through NOTCH3 signalling

Amyloid beta peptides (Aβ) proteins play a key role in vascular pathology in Alzheimer’s Disease (AD) including impairment of the blood–brain barrier and aberrant angiogenesis. Although previous work has demonstrated a pro-angiogenic role of Aβ, the exact mechanisms by which amyloid precursor protein (APP) processing and endothelial angiogenic signalling cascades interact in AD remain a largely un

Exploring the visual world of fossilized and modern fungus gnat eyes (Diptera : Keroplatidae) with X-ray microtomography

Animal eyes typically possess specialized regions for guiding different behavioural tasks within their specific visual habitat. These specializations, and evolutionary changes to them, can be crucial for understanding an animal's ecology. Here, we explore how the visual systems of some of the smallest flying insects, fungus gnats, have adapted to different types of forest habitat over time (approx

Evaluation of 18F-FDG uptake in lung parenchyma compensating for tissue fraction : Comparison between non-enhanced low dose CT and intravenous contrast-enhanced diagnostic CT

AIM: To determine how the presence of intravenous (IV) contrast-enhanced CT influences SUV measurements corrected for both attenuation and tissue fraction. MATERIAL AND METHODS: Eighteen patients with different malignancies, free from lung disorders, lung cancer or metastasis, were prospectively recruited when referred for staging with combined 18F-FDG-PET/CT examination. A non-enhanced low-dose C

Denoising of Scintillation Camera Images Using a Deep Convolutional Neural Network : A Monte Carlo Simulation Approach

Scintillation camera images contain a large amount of Poisson noise. We have investigated whether noise can be removed in whole-body bone scans using convolutional neural networks (CNNs) trained with sets of noisy and noiseless images obtained by Monte Carlo simulation. Methods: Three CNNs were generated using 3 different sets of training images: simulated bone scan images, images of a cylindric p