Efficient nanostructured Ni-based catalysts for electrochemical valorization of glycerol

The great interest of shifting towards biodiesel from vegetable oils or was fats is leading to a tremendous increase of glycerol production as an inevitable by-product. This waste sparked the need for glycerol valorization to justify biodiesel as alternative for diesel from petroleum. Our research efforts are to partially electro-oxidize glycerol into value-added chemicals in […]

Read More
Inferring matter density from halo spatial distribution

The current picture of structure formation in cosmology suggests that initially over-dense regions of dark matter collapse to form halos. These halos also host most of the luminous matter like galaxies. However, we cannot trace the dark matter directly since it does not interact with light. Therefore, the relationship between the underlying cosmic density and […]

Read More
Isolation of Lignin from Lignocellulosic Biomass Using Ionic Liquids and Deep Eutectic Solvents and Pyrolysis of the Extracted Lignin

Lignin, a carbon neutral and an underutilized feedstock, can be used to produce a variety of products, such as oils, syngas, benzene, toluene, xylene as well as high molecular weight products such as wood adhesives (binders), carbon fibers and polyurethane foams using thermal, chemical, biological and electro-biochemical processes. Globally, approximately 64 million tonnes of lignin […]

Read More
Nano and Macroscale Tribological Investigation of MoS2 and MoST

Since the beginning of space exploration is has become apparent that lubrication between surfaces in space would face many challenges that aren’t relevant on earth. Friction and wear testing on earth has been developed in turn to emulate the conditions that would be faced by solid lubricants in outer space. This requires specific contact geometries […]

Read More
Multidimensional screening with general nonlinear preferences

As a central problem in modern microeconomic theory, multidimensional screening plays a significant role in taxation theory, regulation, nonlinear pricing, insurance, etc. Starting from eminent work of Nobel Laureates Mirrlees, Spence and Myerson, there are two main types of generalizations: one is in terms of dimensionality, from one-dimensional to multi-dimensional; the other is in preferences […]

Read More
How interindividual differences in brain anatomy shape mathematical abilities

A specific region of the brain, the intra-parietal sulcus (IPS) has reliably been shown, through studies using a variety of methodologies (brain injury, developmental abnormality and neuro-imaging studies), to be a crucial substrate for mathematical competence (Brannon, 2006; Bugden, Price, McLean, & Ansari, 2012; Dehaene, 2004; Dehaene, Piazza, Pinel, & Cohen, 2003; Holloway & Ansari, […]

Read More
Salmonella biofilm forming ability on Reusable Plastic Crates: Risk of transfer of contamination to fresh product and challenges in sanitizing

Reusable plastic crates (RPC’s) are being adopted by the food industry due to the perceived benefits of reduced waste (i.e. paper board), economics and sustainability. However, by reusing crates there is a possibility of distributing contamination from one user to the next if the RPC’s are not sanitized after leaving retailer. Evidence collected over the […]

Read More
Hepatic miRNA regulation by dietary carbohydrates in trout

In order to improve the sustainability of salmonid aquaculture, it is now essential to reduce dietary levels of fish meal by replacement with alternative and terrestrial plant products, and particularly digestible carbohydrates, in the aquafeed formula. However, when fishmeal is substituted at more than 20% by digestible carbohydrates, rainbow trout (Oncorhynchus mykiss), the economically most […]

Read More
Automatic 3D Object Matching with Functional Maps

This proposal introduces a method for finding corresponding regions between 3D shapes automatically. Existing methods require users to provide several point-to-point correspondences, but are not capable of solving correspondence problems when we have a large amount of 3D objects. I propose to resolve the correspondence problem by studying the relationship between functions on shapes, rather […]

Read More
Optimized Non-invasive Cuff-less Continuous Blood Pressure Measurement Technique Using Artificial Neural Network

Continuous blood pressure (BP) monitoring is highly of assistance for detection of the major public health issue which is cardiovascular problems. Nowadays the BP monitoring technique which are commonly used are mostly using an uncomfortable cuff that makes continuous monitoring impossible since it slows the blood flow. However, measuring continues blood pressures are necessarily and […]

Read More
Collision avoidance between two walkers: an understanding of children’s behaviours

Collision avoidance can be described as a whole-body movement control problem in which visual information is used to elicit accurate movement adaptations. Previous research has demonstrated that children lack knowledge about their own action capabilities as well as the ability to use vision to properly guide actions in static environment. Little is known about how […]

Read More