Learning from Healthy Subjects for Clinical Routine? Assessing the Generalizability of Foundation Models for the Recognition of Motor Examinations in Parkinson's Disease

Trained weights and scores for replicating our manuscript "Learning from Healthy Subjects for Clinical Routine? Assessing the Generalizability of Foundation Models for the Recognition of Motor Examinations in Parkinson’s Disease

Tunable Nanocomposite Thin Films: Novel Approaches for Resistive Vapor Sensing Applications

Raw data package for the dissertatio

Beta maṣāḥǝft working papers 3: Manuscript inventorying and digitization filed survey in Central Tigray: Guyā Takla Ḥāymānot and ʾAmbǝrsǝwā Mikāʾel (Qollā Tamben)

Manuscript inventorying and digitization filed survey in Central Tigray: Guyā Takla Ḥāymānot and ʾAmbǝrsǝwā Mikāʾel (Qollā Tamben

Illumina sequencing of BnGRP7 enriched phloem RNAs

The RNA binding protein glycine-rich RNA binding protein 7 (GRP7) was immobilized and incubated with total phloem RNA of Brassica napus. Bound RNA was eluted in three steps and the third elution as well as total phloem RNA used as input was sent for library preparation and poly-A enriched and small RNA sequencing with Novogene (Cambridge, UK). Here, you can find the raw sequencing data of this sequencing run. GRP7 elutions were sequenced in biological triplicates for poly-A library and in duplicates for small RNAs. Input RNA was sequenced once

X-Ray Fluorescence and Reflectography Data from Milan, Ambrosian Library, Ms Ambr. D 54 sup. f. 2

XRF (Elio: 40kV, 80 µA, spot measurements of 120s each) and reflectography (DinoLite: x50 magnification, vis, NIR and UV light) analysis of inks from Milan, Ambrosian Library Ms Ambr. D 54 sup. (f. 2). Ambr. D 54 is a paper manuscript containing mainly Aristotelian logic: the Isagoge, the Categories, the De interpretatione, the First Analytics, and the beginning of the Second Analytics I, together with scholia, diagrams, and exegetical treatises (Ioannes Philoponos and Leon Magentenos) that comment on them. Most of the folios appear to have been written by the same scribe, the otherwise unknown Alexios Solymas, who wrote a subscription on f. 203r on July 15th, 1272. The folios 1 and 2 were not written by Solymas and they are much later additions of disparate origin. Folio 1v contains a letter and can be dated on palaeographical basis to the fourteenth century. Folio 2 was written by Sylvester Syropoulos in the 1420s. AmbrD54Sup_protocol.pdf - protocol MilanAmbrD54sup_f2_reflectography.zip - complete reflectography dataset MilanAmbrD54sup_f2_XRFdata.zip - complete XRF dataset Report_AmbrD54sup.pdf - detailed repor

Redirecting Rays: Evaluation of Assistive Raycasting Techniques in Virtual Reality

Raycasting-based interaction techniques are widely used for object selection in immersive environments. Despite their intuitive use, they come with challenges due to small or far away objects, hand tremor, and tracking inaccuracies. Previous adaptations for raycasting, such as directly snapping the ray to the closest target, extruding the ray to a cone, or multi-step selection techniques, require additional time for users to become familiar with them. To address these issues, we propose three assistive techniques in which the visible selection ray is subtly redirected towards a target, with a proximity and gain based increase in the redirection amount. In a user study (N = 26), we compared these redirection techniques with a baseline condition based on a Fitts’ law task and collected performance measures as well as comprehensive subjective feedback. The results indicate that the three redirection techniques are significantly faster and have higher effective throughput than the baseline condition. Participants retained a high sense of agency with all redirection techniques and reported significantly lower total workload compared to the baseline. The majority of participants preferred selection with assistive ray redirection and perceived it as not distracting or intrusive. Our findings support that assistive redirected raycasting techniques can improve object selection performance and user experience in virtual environments. Free access to the definitive version of this paper in the ACM Digital Library: https://dl.acm.org/doi/10.1145/3611659.3615716?cid=9965957695

INSTRUMENTAL ANALYSIS OF THE INKS FROM THE MAGICAL PAPYRUS P. BEROL. INV. 5026 (PGM II / GEMF 30)

In the last two decades, the Bundesanstalt für Materialforschug und -prüfung (BAM), together with the Centre for the Study of Manuscript Cultures (CSMC, University of Hamburg), has analysed manuscript materials, with a special emphasis on inks, in order to reconstruct their history and development. Black inks are typically divided into three types: carbon inks, made of carbon pigments dispersed in water with a binding agent; plant or tannin inks with soluble extracts from tree bark or gallnuts; and iron-gall inks, produced by a chemical reaction of divalent iron (Fe++) with gallic or tannic acid in a water-soluble binding media. Roughly speaking, carbon inks appeared fi rst and prevailed during the whole period of Antiquity; they were gradually replaced by iron-gall inks, which dominated the palette of black writing inks in the Middle Ages in Europe and the Islamicate world. In recent years, we have focussed our attention on the transition period that lasted for more than a thousand years and involved various metals and mixed inks.1 In a recently published detailed study of the oldest known metal-containing ink, Nehring and co-authors stressed the distinct appearance of a tannin- containing ink on papyrus, which diffuses beyond the letters, smearing the edges and producing a brownish “halo”. In this context, inks from P. Berol. inv. 5026 appear particularly interesting to investigate, because black inks with sharply defi ned contours alternate with the brownish and blurry ones. This paper investigates the composition of the inks from P. Berol. inv. 5026 and the possible reasons for the use of the different inks

Artifact: Wasimoff: Distributed Computation Offloading Using WebAssembly in the Browser

This is the software artifact to the paper "Wasimoff: Distributed Computation Offloading Using WebAssembly in the Browser" accepted to the STARLESS'24 (not published yet as of this writing). --- Computation offloading is a technique to circumvent device restrictions and bring novel, computationally-intensive applications to a heterogeneous and diverse device landscape. Wasimoff is a novel framework for general computation offloading for modern pervasive web browsers using the WebAssembly bytecode format for tasks

Optimization and Evaluation Datasets for PiMine

The protein-protein interface comparison software PiMine was developed to provide fast comparisons against databases of known protein-protein complex structures. Its application domains range from the prediction of interfaces and potential interaction partners to the identification of potential small molecule modulators of protein-protein interactions.[1] The protein-protein evaluation datasets are a collection of five datasets that were used for the parameter optimization (ParamOptSet), enrichment assessment (Dimer597 set, Keskin set, PiMineSet), and runtime analyses (RunTimeSet) of protein-protein interface comparison tools. The evaluation datasets contain pairs of interfaces of protein chains that either share sequential and structural similarities or are even sequentially and structurally unrelated. They enable comparative benchmark studies for tools designed to identify interface similarities. In addition, we added the results of the case studies analyzed in [1] to enable readers to follow the discussion and investigate the results individually. Data Set description: The ParamOptSet was designed based on a study on improving the benchmark datasets for the evaluation of protein-protein docking tools [2]. It was used to optimize and fine-tune the geometric search parameters of PiMine. The Dimer597 [3] and Keskin [4] sets were developed earlier. We used them to evaluate PiMine’s performance in identifying structurally and sequentially related interface pairs as well as interface pairs with prominent similarity whose constituting chains are sequentially unrelated. The PiMine set [1] was constructed to assess different quality criteria for reliable interface comparison. It consists of similar pairs of protein-protein complexes of which two chains are sequentially and structurally highly related while the other two chains are unrelated and show different folds. It enables the assessment of the performance when the interfaces of apparently unrelated chains are available only. Furthermore, we could obtain reliable interface-interface alignments based on the similar chains which can be used for alignment performance assessments. Finally, the RunTimeSet [1] comprises protein-protein complexes from the PDB that were predicted to be biologically relevant. It enables the comparison of typical run times of comparison methods and represents also an interesting dataset to screen for interface similarities. References: [1] Graef, J.; Ehrt, C.; Reim, T.; Rarey, M. Database-driven identification of structurally similar protein-protein interfaces (submitted) [2] Barradas-Bautista, D.; Almajed, A.; Oliva, R.; Kalnis, P.; Cavallo, L. Improving classification of correct and incorrect protein-protein docking models by augmenting the training set. Bioinform. Adv. 2023, 3, vbad012. [3] Gao, M.; Skolnick, J. iAlign: a method for the structural comparison of protein–protein interfaces. Bioinformatics 2010, 26, 2259-2265. [4] Keskin, O.; Tsai, C.-J.; Wolfson, H.; Nussinov, R. A new, structurally nonredundant, diverse data set of protein–protein interfaces and its implications. Protein Sci. 2004, 13, 1043-1055

Statistical data from video processing other European SL datasets

EASIER has established a pipeline for processing datasets from European sign languages beyond those covered by the consortium, with the aim of providing pose analysis as an important entry point for data science on sign language resources. While discussions with third parties on using this ser- vice took place and are still ongoing, no data processing happened before the end of the project. Accordingly, there are no statistical data to report. Instead, the report analyses why no such uses have taken place