Sunlight penetrates the bare-ice surface of glaciers and ice sheets, giving rise to the presence of a three-dimensional porous matrix of partially melted ice crystals known as the weathering crust. Surface meltwater slowly percolates through this weathering crust, which hosts active and diverse bacterial communities, until it reaches a supraglacial stream. Despite the potential implications of ...

Zero-shot learning (ZSL) is a machine learning paradigm that enables models to recognize and classify data from classes they have not encountered during training. This approach is particularly advantageous in recognizing activities where labeled data is limited, allowing models to identify new, unseen activities by leveraging semantic knowledge from seen activities. In this paper, we explore the ...

The effects of specific training protocols to improve repeated sprint ability are well known; however, the utility of non-specific training for this purpose is doubtful. Therefore, this study aimed to compare the effects of a specific (sport-related) vs. non-specific (general physical development) eight-week training protocol on developing or maintaining repeated sprint ability in soccer players. ...

A Cyber-Physical System (CPS) deployed in remote and resource-constrained environments faces multiple challenges. It has, no or limited: network coverage, possibility of energy replenishment, physical access by humans.<p> <p>Cyber-physical nodes deployed to observe and interact with the Arctic tundra face these challenges. They are subject to environmental factors such as avalanches, low temperatures, ...

We construct a group structure on the set of pointed naive homotopy classes of scheme morphisms from the Jouanolou device to the projective line. The group operation is defined via matrix multiplication on generating sections of line bundles and only requires basic algebraic geometry. In particular, it is completely independent of the construction of the motivic homotopy category. We show that ...

Global contexts in images are quite valuable in image-to-image translation problems. Conventional attention-based and graph-based models capture the global context to a large extent; however, these are computationally expensive. Moreover, existing approaches are limited to only learning the pairwise semantic relation between any two points in the image. In this paper, we present Latent Graph ...

This paper presents a practical step-by-step approach to Frequency Modulated Continuous Wave (FMCW) radar nonlinearity correction (deconvolution), utilizing surface-based Ku- and Ka-band radar data collected over nilas ice within a newly-opened sea ice lead during the 2019/2020 MOSAiC expedition. Two performance metrics are introduced to evaluate deconvolution effectiveness: the spurious free ...

In this thesis, I have presented my findings on stereoisomerism in eight-coordinate metallobiscorrole sandwich compounds. Metallobiscorroles were first synthesized in our laboratory about eight years ago and, although they were fully structurally characterized with X-ray crystallography, their crowded 1H NMR spectra essentially defied assignment. My master’s thesis project began with the task to ...

Cyber-physical systems (CPS) deployed in scarce resource environments like the Arctic Tundra face extreme conditions. Nodes in such environments are forced to rely on batteries and sleep most of the time to maximize their lifetime. While being autonomous, nodes have to collaborate to make scientific observations. As a result, their deployments and updates are subject to coordination (e.g., prevent ...

Novel sustainable agricultural strategies that enhance soil nutrients and human nutrition are crucial for meeting global food production needs. Here, we evaluate the potential of “glacial flour”, a naturally crushed rock produced by glaciers known to be rich in nutrients (P, K, and micronutrients) needed for plant growth. Our proof-of-concept study, investigated soybean (Glycine max. var. Black jet) ...