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- rwSALT: a regrowth-weighted SALT score providing direct pixel-level measurement rather than visual estimationOpen-source browser-based tool for pixel-level SALT score calculation from scalp photographs. Supports manual painting mode (alopecic ×1.0, regrowth ×0.5), auto-calibrated mode with continuous hair-density measurement via CIE Lab* colour space calibration, adjustable alopecia threshold, density map overlay, and androgenetic alopecia exclusion. Developed to improve reproducibility and sensitivity to partial regrowth in alopecia areata, particularly in patients receiving JAK inhibitor therapy.
- Multimodal analytical autoethnography on Vietnamese educator’s (non)-English-speaking cultural teaching practices into movie-based EFL lessonsAppendix A includes ten interviews in Vietnamese language (including one piloting interview) lasted for 994 minutes with transcripts of 257 pages. Appendix B reports the procedure of constructing a composite narrative story on teachers’ interview transcripts. Appendix C provides full accounts of the analytical process.
- Replication Package for: Impacts of energy transition on economic dynamics and environmental benefits under distributive justice: A stock–flow consistent approachReplication Package for: Impacts of energy transition on economic dynamics and environmental benefits under distributive justice: A stock–flow consistent approach
- Anti-VCAM-1 Ameliorates the Exacerbated Neuroinflammation Response and Improves Function Recovery [TCP2.1][JH2.2][HJT2.3][PTC2.4]in Diet-Induced Obese Mice After StrokePeople who consume high-fat diets (HFD) and obese are [PTC17.1]over twice as likely to experience a stroke. We have demonstrated [PTC18.1]that high-fat diet (HFD)-fed animals exhibited worsened behavioral deficits, expanded infarcts, and a 4-fold increase in microglia/macrophage coverage compared to animals fed a control diet following stroke[PTC19.1]. HFD-fed animals also exhibit heightened expression of vascular cellular adhesion molecule-1 (VCAM-1) – a molecule crucial for the transmigration of peripheral immune cells[PTC20.1] to cross the blood brain barrier. Past research suggests blocking VCAM-1 reduced microglia activation and improved cognitive deficits in older-aged animals[PTC21.1]. We aimed to determine whether blocking VCAM-1 reduced the neuroinflammatory response and improved functional recovery in HFD-fed animals following stroke. Mice were fed a 60% kCal fat diet or 10% control diet for six weeks prior to stroke. Following stroke, animals were administered either 9 mg/kg of VCAM-1 or control treatment and then assessed on common motor behavior tasks prior to and 1-, 3-, 7-, 14-, and 28 days post-stroke. Additionally, we measured infarct volume (Neun) and macrophage/microglia and astrocyte coverage at acute and chronic timepoints (3- and 29 days) post-stroke. We confirmed after the amelioration of increasedVCAM-1 HFD-fed animals demonstrated improved functional recovery as well as reduced macrophage/microglia and astrocyte coverage, and prevented the increase in infarct expansion compared to HFD-fed animals given the control treatment. Considering the limited treatment options available and the high rates of people with obesity to have a stroke, 𝛼VCAM-1 may serve as a potential intervention for reducing infarct expansion, neuroinflammation, and improve functional recovery.
- ChiHwesa Verbal ConstructionsThis dataset constitutes a structured repository designed to examine the semantic compatibility of verbal extensions in ChiHwesa, with particular focus on the reciprocal (-an-), passive (-iw-/-w-/-h-), and stative (-ik-/-ek-) extensions. The underlying research hypothesis is that the distribution of these extensions is semantically constrained, such that only verbs with compatible argument structure and lexical semantics can productively undergo specific derivational processes. In particular, reciprocal constructions are expected to occur primarily with transitive and interactional verbs, passive constructions with verbs that license a patient/theme argument, and stative constructions with verbs that encode potentiality or resultative states. The dataset comprises a systematically organised list of ChiHwesa verb stems presented alongside their derived forms and corresponding English glosses. Each entry includes a base verb, its meaning, and its reciprocal, passive, and stative forms where attested. Importantly, the dataset also records gaps where certain derivations are not possible, providing critical evidence for semantic restrictions. The verbs included represent a wide range of semantic classes, including transitive, intransitive, cognitive, physiological, and social interaction verbs. Data were collected through a combination of native speaker intuition, structured elicitation, and cross-speaker validation. Informants were asked to generate and evaluate derived verb forms, and all entries were verified for consistency and acceptability. Additional support was drawn from an existing ChiHwesa lexical database. This multi-method approach ensures both reliability and linguistic authenticity. The data show that reciprocal formation is restricted to verbs denoting mutual or bidirectional actions, while verbs lacking inherent interaction (e.g., ‘walk’ or ‘urinate’) typically do not permit reciprocal derivation. In contrast, passive constructions are highly productive across verb classes, although some yield marginal or context-dependent interpretations. Stative constructions are also widely attested and primarily encode potentiality (‘able to be X-ed’) or resultant states, particularly with change-of-state verbs. These findings support the interpretation that verbal extensions in ChiHwesa are governed by semantic and argument structure constraints. The dataset is therefore valuable for theoretical analysis within frameworks such as Lexical Mapping Theory, as well as for comparative Bantu studies, language documentation, and computational applications. It can be used as both a descriptive resource and a basis for further hypothesis testing on the interaction between morphology, syntax, and semantics in under-documented languages.
- Mineralogy and geochemical dataAuthigenic pyrite, a characteristic mineral product of the anaerobic oxidation of methane coupled with sulfate reduction (AOM-SR) process in cold seeps, serves as a key indicator for tracing methane seepage and environmental evolution. To elucidate the mechanisms by which methane flux and benthic communities influence its morphological differentiation and evolution, we conducted a systematic study of sediment samples from the Wenhai I cold seep in the Qiongdongnan Basin, integrating gas isotope geochemistry, mineralogy, and AMS ¹⁴C dating. Results revealed a microbial-dominated mixed methane gas derived from terrigenous humic organic matter, exhibiting dual methanogenic pathways via CO₂ reduction and acetate fermentation (δ¹³C-CH₄ = -109.5‰ to -62.0‰), with ≥22 kyr of sustained seepage history forming a distinct methane flux gradient from vent centers to background areas. Authigenic pyrite across stations was confirmed as methane-derived with AOM-SR as the primary sulfur source, displaying a spatial pattern of high abundance/large grain size in mussel-bleached zones, medium values in mussel-thriving zones, low abundance/small grain size in tubeworm zones, and low abundance/narrow distribution in seep venting zones. The complete framboidal-overgrowth-euhedral pyrite evolutionary sequence was identified, demonstrating that pyrite formation and evolution are dominantly controlled by methane flux-benthic community coupling. The tripartite coupling model of methane flux-benthic community-pyritization established in this study further elucidates synergistic biogeochemical mechanisms in cold-seep systems, providing a theoretical foundation for quantitatively assessing ecological impacts during future energy resource exploration and development.
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- Functional traits and community-weighted mean trait values of Spartina alterniflora Loisel.Functional traits and community-weighted mean trait values of Spartina alterniflora Loisel.
- Development of an Interactive Game in Unity3D with Adaptation for Different User Groups - LogsThis thesis presents the design, implementation, and pilot user testing of an interactive 3D game in Unity3D with adaptation for different user groups. The prototype works with a unified set of visual–textual objects in a digital gallery environment and offers three game modes (Explore, Match, Arcade), which differ in type of interaction, pace, and level of difficulty. The game supports two visually distinct versions of the user interface (a minimalist and a gamified one) with identical functionality, as well as a simple adaptive difficulty mechanism based on tracking player performance. The architecture uses ScriptableObjects for content management, modular components for the game modes, and a unified telemetry layer that logs key events across modes. Pilot testing on a small sample of users focuses on technical stability, usability, smoothness of interaction, and basic behavioural metrics (time, error rate, completion rate, premature quitting), as well as on subjective perception of differences between the UI variants. The thesis summarizes the design decisions, implementation approach, and pilot results, and offers recommendations for further development of interactive 3D games with adaptive difficulty and user telemetry.
- A Synthetic Dataset for Decarbonization Policy: Integrating Monte Carlo Simulations and Rebound EffectsThis research hypothesizes that traditional, deterministic Marginal Abatement Cost Curves (MACC) consistently overestimate the mitigation potential of urban decarbonization strategies by ignoring parametric uncertainty and behavioral feedback, particularly the rebound effect. We argue that a data-driven, probabilistic framework that combines Monte Carlo (MC) simulations and Bayesian Networks (BN) is crucial for assessing the vulnerability of "win-win" measures and for establishing a more robust basis for climate policy in Smart Cities. This dataset includes a comprehensive set of technical, economic, and environmental variables for nine urban mitigation strategies across the residential, commercial, and transportation sectors. The data were collected using a bottom-up approach that combined documented scientific literature with real-world urban case studies. These inputs were analyzed with a probabilistic engine to produce empirical distributions of the Marginal Abatement Cost (MAC) and other performance indicators, replacing static point estimates with a multivariate probabilistic knowledge structure.

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