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These materials are available for study purposes only and by using them you are agreeing to these specific terms of use. This short lecture provides an introduction to considering equity in health and…

These materials are available for study purposes only and by using them you are agreeing to these specific terms of use. This short lecture provides an introduction to considering equity in health and healthcare, and the integration of equity into health economic evaluation methods. James also provides examples of how to measure and analyse health (in)equalities. Originally delivered as part of an ‘introduction to health economics’ workshop for Overseas Development Institute (ODI) Health Fellows, delivered at the Centre for Health Economics at the University of York (UK) on 31 July 2019.

Hour-Aware Adaptive Risk Management for Autonomous Memecoin Trading: Companion Dataset + Manuscript Bundle (v1.3) Kamat, Arati Uday. Independent Researcher. ORCID 0009-0000-4781-312X. Companion deposi…

Hour-Aware Adaptive Risk Management for Autonomous Memecoin Trading: Companion Dataset + Manuscript Bundle (v1.3) Kamat, Arati Uday. Independent Researcher. ORCID 0009-0000-4781-312X. Companion deposit for Kamat (2026), a 15-day paper-traded deployment of an autonomous memecoin trading system on Solana decentralised exchanges. The bundle contains the exact data underlying the paper's headline results (190 closed paper-trades and 4,874 post-rejection price samples), four supporting figures (SVG), and the v4 manuscript (Markdown source, HTML and PDF). v1.3 (2026-09-28) removes patent application numbers from the manuscript files and the documentation, replacing each with "a pending U.S. provisional patent application", and removes submission-status details from the documentation. Data files, figures and the reproduction script are byte-identical to v1.2. See CHANGELOG_v1.2_to_v1.3.md. v1.2 (2026-08-03) corrected the manuscript files that shipped in v1.1 (2026-07-27), which contained an intermediate v4 build rather than the final v4 build completed 2026-07-29. See CHANGELOG_v1.1_to_v1.2.md. Contents:- data/trades.csv (190 rows, 7 columns): closed paper-trades over 29 March - 12 April 2026 UTC.- data/rejection_outcomes.csv (4,874 rows): post-rejection follow-up price samples across six anonymised filter categories.- data/scanner_2026-04-09.csv + scanner_2026-04-10.csv: two days of paired scanner observation logs.- figures/: four SVG figures (architecture, PnL by hour, equity curve, filter effectiveness).- manuscript/: v4 Markdown source, HTML rendering and PDF.- audit.py: reproduction script that prints every headline number from the deposited CSVs.- PROVENANCE.md: per-filter event and sample counts.- README, LICENSE (CC-BY-4.0), checksums, changelogs. Change from v1.0: the exitReason column of trades.csv is removed in v1.1 (it embedded per-tier threshold values that are the subject of a pending U.S. provisional patent application); the seven remaining columns are cell-for-cell identical to v1.0. The three other data files are byte-identical to v1.0. All headline numbers in the manuscript reproduce from the v1.1 files by direct arithmetic; audit.py verifies this. The v1.0 record remains permanently archived under its own version DOI (10.5281/zenodo.20043302), as with any Zenodo version. DOIs: concept DOI 10.5281/zenodo.20043301 resolves to the latest published version; v1.0 version DOI 10.5281/zenodo.20043302 is the permanent identifier for the original 2026-05-05 unredacted deposit; v1.1 version DOI 10.5281/zenodo.21636182; v1.2 version DOI 10.5281/zenodo.21780072 (superseded by v1.3); the v1.3 version DOI is assigned by Zenodo on publication of this version. Companion preprints: SSRN 6564803, arXiv 2606.08232. Competing interests: the trading system is the subject of a pending U.S. provisional patent application (filed 2026-06-25, Micro Entity). Data and manuscript releases do not restrict re-use under the deposit's CC-BY-4.0 licence. Keywords: autonomous trading, memecoin, decentralised exchange, market microstructure, time-of-day effects, counterfactual evaluation, reject inference, fragility, Solana. JEL: G11, G12, G14, G17.

The report examines post-return realities and human rights monitoring following returns from the EU, with country analyses in Annexes on Georgia, Iraq and Nigeria. Drawing on qualitative fieldwork, le…

The report examines post-return realities and human rights monitoring following returns from the EU, with country analyses in Annexes on Georgia, Iraq and Nigeria. Drawing on qualitative fieldwork, legal and policy analysis, it identifies key human rights risks and gaps in existing monitoring practices and explores why and how post-return human rights monitoring could be systematically established, and current initiatives strengthened, including possible actors, mechanisms and pathways for implementation.      

This study proposes a symmetric-only three-factor authentication protocol for Wireless Body Area Networks (WBANs) designed to strengthen security against both conventional and quantum-enabled attacks.…

This study proposes a symmetric-only three-factor authentication protocol for Wireless Body Area Networks (WBANs) designed to strengthen security against both conventional and quantum-enabled attacks. The protocol integrates password-based authentication, biometric protection, secure key establishment, SHA3-256-based key derivation, and AES-256 authenticated encryption. Its security is evaluated through symbolic verification, adversarial testing, and performance analysis. The results demonstrate secure session establishment, resistance to replay and authentication attacks, and practical computational and communication overhead. The study also examines quantum-resistance based on the security properties of modern 256-bit symmetric cryptographic primitives.

Hour-Aware Adaptive Risk Management for Autonomous Memecoin Trading on Solana DEXs: Evidence, Theory, and Design Lessons from a 15-Day Deployment Version v4.1 (2026-09-28). Same manuscript as v4; the …

Hour-Aware Adaptive Risk Management for Autonomous Memecoin Trading on Solana DEXs: Evidence, Theory, and Design Lessons from a 15-Day Deployment Version v4.1 (2026-09-28). Same manuscript as v4; the research-program and competing-interests passages no longer print patent application numbers. No other change. Kamat, Arati Uday. Independent Researcher. ORCID 0009-0000-4781-312X. This record deposits the v4 manuscript PDF. Main revisions from v3:1. A new Section III, "Theoretical Framework", states three predictions from Kyle (1985), Precup, Sutton and Singh (2000), and Bailey and Lopez de Prado (2014).2. A new Section VII, "Generalisable Design Lessons", a paragraph on significance for the field in Section I, and an expanded Section VIII.B.3. Section II, Related Work, expanded from one subsection to four, with 14 additional citations.4. JEL classification codes G11, G12, G14 and G17 added. Two corrections were also made before release: the entry-versus-exit hour recomputation in Section VI.A, and a disclosure of observation-window censoring in Section VI.B. All headline empirical numbers are unchanged from v2 and v3. Companion dataset bundle (concept DOI, always resolves to the latest version): 10.5281/zenodo.20043301.Companion preprints: SSRN abstract 6564803; arXiv 2606.08232. Abstract. We report a 15-day paper-traded deployment of an autonomous memecoin trading system on Solana decentralised exchanges (DEXs), designed as a controlled measurement of three microstructure questions on which classical equity theory offers well-defined predictions but on which the AMM-based Solana venue lacks published empirical measurement: (i) time-of-day return patterns on a 24/7 permissionless venue; (ii) whether decision-time filter stacks are net-positive against the counterfactual returns of the tokens they reject; (iii) whether small-sample cumulative-return statistics on a heavy-tailed venue are structurally robust or fragile. The 190-trade sample (March 29 to April 12, 2026) shows a 40.5 percent win rate, mean per-trade return +0.62 percent, cumulative +117.7 percent, skewness -1.21, excess kurtosis 6.61. Mann-Whitney U on three exploratorily identified worst entry hours yields p = 0.5634 (directional and non-confirmatory). A parallel counterfactual rejection-tracker collected 4,874 forward-sample observations across 184 rejection events; of 48 events observed for at least six hours, 27 (56.25 percent) reached a 50 percent drawdown from reference. Removing the top three trades (1.6 percent of sample) flips cumulative return unprofitable. The three findings connect to Kyle (1985) informed-flow, Precup-Sutton-Singh (2000) off-policy evaluation, and Bailey-Lopez de Prado (2014) deflated-Sharpe predictions. Alongside the trade log and rejection-sample corpus (CC-BY-4.0), the companion bundle deposits audit.py (MIT), an assertion-based reproduction script that exits zero iff every headline number in this manuscript reproduces from the deposited CSVs. The paper's principal contribution is measurement infrastructure and three transferable design lessons that generalise beyond this specific system. Competing interests. The trading system is the subject of two pending U.S. provisional patent applications in the same family (filed 2026-03-30 and 2026-06-25), both Micro Entity. Release of the manuscript does not restrict re-use under this deposit's CC-BY-4.0 licence. Keywords: autonomous trading, memecoin, decentralised exchange, market microstructure, time-of-day effects, counterfactual evaluation, reject inference, fragility, Solana. JEL: G11, G12, G14, G17.

The purpose of the analysis based on these data was to better understand the amount, distribution, impact, and limitations of grant funding to open infrastructures that support research and scholarshi…

The purpose of the analysis based on these data was to better understand the amount, distribution, impact, and limitations of grant funding to open infrastructures that support research and scholarship. The data were summarized and reported in the “2025 State of Open Infrastructure Report” section “The state of open infrastructure grant funding.” The full report is available at [DOI]. A readme and data dictionary are provided with the dataset for additional detail.

View the below recordings for a unique glimpse into the 2020 University of York MSc residential course in Health Economics (run by the Department of Economics and Related Sciences). Each lecture is on…

View the below recordings for a unique glimpse into the 2020 University of York MSc residential course in Health Economics (run by the Department of Economics and Related Sciences). Each lecture is one hour in duration and offers a sample of the course material delivered during the Evaluation of Health Care module, which focuses specifically upon concepts around informing decisions using cost-effectiveness analysis, economic evaluation in LMICs, and prioritising interventions.Visit the University of York MSc Health Economics course pages for more informationPlease note: these materials are available for study purposes only and should not be used for commercial purposes or re-presented without the permission of the author. The materials are provided on an 'as is' and 'as available' basis and the University of York makes no warranty or representation as to the accuracy or completeness of the information included on this website. To the extent permitted by law, the University of York, expressly excludes all liability for loss or damage (howsoever arising) suffered as a result of any use of the materials. For full details about the terms of use for these materials, please visit the Global Health Economics Hub.

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