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Photochemical regeneration of NADH is essential for bioinspired redox catalysis but remains limited by inefficient electron-proton coordination. We report a donor–acceptor conjugated polymer system with rhodium centers, where electron-donating substituents (–OH, –OMe, –Me) can modulate both photo-induced charge behavior and surface reaction properties. The optimal –OH subsitutents can, on one hand
In response to the limitations of traditional total antioxidant capacity (TAC) determination methods—namely limited sensitivity and weak anti-interference ability—as well as the reliance on toxic hydrogen peroxide in conventional nanozyme-based sensing systems, silver nanoparticles (HA-AgNPs) with enzyme-mimicking catalytic activity were synthesized using hydroxylamine hydrochloride as the reducin
Cyclic peptides are promising modalities for targeting intracellular sites; however, cell-membrane permeability remains a key bottleneck, exacerbated by limited public data and the need for well-calibrated uncertainty. Instead of relying on data-eager complex deep learning architecture, we propose a monomer-aware decoupled global alignment kernel (MD-GAK), which couples chemically meaningful resid
Reconstruction of local or regional fluxes of Carbon dioxide is important in assessing the contribution of different areas to the global carbon balance. These reconstructions are based on measurement of atmospheric concentrations and transport (or sensitivity) matrices, which link local fluxes to measurements. A common practise (e.g. R\"{o}denbeck et al, 2003) is to model the fluxes as a stationar
Post-processing of satellite remote sensing data is often done to reduce noise and remove artifacts due to atmospheric (and other) disturbances. Here we focus specifically on satellite derived vegetation indices which are used for large scale monitoring of vegetation cover, plant health, and plant phenology. These indices often exhibit strong seasonal patterns, where rapid changes during spring a
Satellite measurements provide large scale monitoring of several important ecological factors, including vegetation cover. However, satellite data is often noisy with considerable amounts of missing or biased data due to atmospheric disturbances. To characterise vegetation over large areas, ecologists are interested in smoothed complete time-series of vegetation measurements. Given these time-ser
The aim of this paper is to develop and evaluate methods to analytically identify areas of a map that are difficult to read. The approach is to compare such areas that were found in user tests with two analytical methods: the threshold method and the cluster method. These methods are implemented and evaluation shows that both methods have the potential of identifying areas that are difficult to re
This paper describes the automatic creation of semantic networks from Wikipedia. Following Lipczak et al. (2014), we constructed the graphs corresponding to the semantic networks by merging across languages the categories manually assigned by the users. This results in a network of related concepts for each entity of Wikipedia. We used these networks as a component of an entity linking system. the
In this paper, we describe Langforia, a multilingual processing pipeline to annotate texts with multiple layers: formatting, parts of speech, named entities, dependencies, semantic roles, and entity links. Langforia works as a web service, where the server hosts the language processing components and the client, the input and result visualization. To annotate a text or a Wikipedia page, the user c
In this paper, we investigate the annotation projection of semantic units in a practical setting. Previous approaches have focused on using parallel corpora for semantic transfer. We evaluate an alternative approach using loosely parallel corpora that does not require the corpora to be exact translations of each other. We developed a method that transfers semantic annotations from one language to
Wikipedia has become a reference knowledge source for scores of NLP applications. One of its invaluable features lies in its multilingual nature, where articles on a same entity or concept can have from one to more than 200 different versions. The interlinking of language versions in Wikipedia has undergone a major renewal with the advent of Wikidata, a unified scheme to identify entities and their
In this paper, we describe a new system to extract, index, search, and visualize entities on Wikipedia. To carry out the extraction, we designed a high-performance entity linker and we used a document model to store the resulting linguistic annotations. The entity linker ,HERD, extracts the mentions from text using a string matching Engine and links the mto entities with a combination of rules, P
In this paper, we describe Docforia, a multilayer document model and application programming interface (API) to store formatting, lexical, syntactic, and semantic annotations on Wikipedia and other kinds of text and visualize them. While Wikipedia has become a major NLP resource, its scale and heterogeneity makes it relatively difficult to do experimentations on the whole corpus. These experimentat
Dynamic ecosystem modelling offers potentially groundbreaking possibilities to reconstruct and project exports of Dissolved Organic Carbon (DOC) from land to surface water. However, the balance between production, degradation and export of soil DOC remains a challenge to model in boreal forests, partly because variability in soil DOC turnover is poorly understood. Here we determined the heterogene
The human brain can be seen as an ensemble of interconnected neurons, more or less specialized to solve different cognitive and motor tasks. In computer science, the term deep learning is often applied to signify sets of interconnected nodes, where deep means that they have several computational layers. Development of deep learning is essentially a quest to mimic how the human brain, at least part
BACKGROUND: Recipient age and donor age are well-known prognostic factors in adult heart transplantation. However, the association between donor age and recipient age and their interaction and short- and long-term mortality is unknown. METHODS: We studied 64,354 heart transplants to adult recipients between 1988 and 2013 in the ISHLT Registry. Donor age and recipient age were analyzed as continuou
Coreference resolution is the identification of phrases that refer to the same entity in a text. Current techniques to solve coreferences use machine-learning algorithms, which require large annotated data sets. Such annotated Resources are no tavailable for most languages today. In this paper, we describe a method for solving coreferences for Swedish and German using distant supervision that does
