Timely delivery of the required goods plays an important role in meeting the availability and reducing the downtime of Markets. Salmon transport logistics is affected in complex ways while operating in the Arctic, since the area is sparsely populated and has insufficient infrastructure. It is also greatly affected by the distinctive operational environment of the region, such as cold temperature, ...

Sedimentary stratigraphy and facies analysis along with seismostratigraphic and multibeam bathymetrydata are used to reconstruct the last glacial impact on the Arliss Plateau (AP) and attendant sedimen-tation in the adjacent Chukchi Basin (CB) in the western Arctic Ocean off the East Siberian margin.Sediment core ARA02B/16B-GC from the AP lower slope captures glacier-related depositional historyduring ...

Type 1 diabetes is a metabolic disorder characterized by high blood glucose levels as a consequence of deficiency of the hormone insulin, requiring the patient to follow a strict personalized protocol of food intake, subcutaneous insulin administration as a lifelong treatment for the high blood glucose levels, and exercise. This condition leads to acute complications, damaging several organs and ...

In this study, we compare the retrieval results for the dielectric properties of verified oil slick, acquired using airborne multifrequency synthetic aperture radar. A polarimetric two-scale model was used to invert the radar imagery by first employing solely the co-polarization channels, and then by employing the co-polarization channels in conjunction with the cross-polarization channels, and ...

At Organometallics, the Editorial Team has been highlighting a number of scientists that we feel have had a profound impact on the field and perhaps also on ourselves. In this editorial, I wish to introduce another of our Pioneers and Influencers, Professor Charlotte K. Williams from Oxford University. Professor Williams works on three things I love: homogeneous metal catalysts, carbon dioxide, and ...

Statistics from the World Health Organization (WHO) show clear indications that some groups in society have more significant struggles than others getting the recommended amount of physical activity. One of these groups is people with intellectual disabilities, which have different functioning resulting in different needs in terms of facilitation, accessibility, and usability. Many within this group ...

Artificial intelligent systems often model the solutions of typical machine learning problems, inspired by biological processes, because of the biological system is faster and much adaptive than deep learning. The utility of bio-inspired learning methods lie in its ability to discover unknown patterns, and its less dependence on mathematical modeling or exhaustive training. In this paper, we propose ...

Chip–based fluorescence imaging is an emerging field where the fluorophores in a sample are excited by the evanescent field generated by waveguides. The aim of this thesis is to explore how waveguide–based excitation can benefit super–resolution optical microscopy, as well as investigate other imaging and spectroscopic applications which can benefit from the same platform. For all imaging and ...

SARS-CoV-2 is highly contagious, rapidly turned into a pandemic, and is causing a relevant number of critical to severe life-threatening COVID-19 patients. However, robust statistical studies of a large cohort of patients, potentially useful to implement a vaccination campaign, are rare. We analyzed public data of about 19,000 patients for the period 28 February to 15 May 2020 by several mathematical ...

In this paper, we test and evaluate policy gradient reinforcement learning for automated blood glucose control in patients with Type 1 Diabetes Mellitus. Recent research has shown that reinforcement learning is a promising approach to accommodate the need for individualized blood glucose level control algorithms. The motivation for using policy gradient algorithms comes from the fact that adaptively ...