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WP40 RAID: project charter, layout, license (Phase 0 start)

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Simon-Pierre Boucher committed (Nov 2, 2026) Browse files

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added .gitignore +65 −0
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1 +#
2 +Build
3 +build/
4 +build-*/
5 +cmake-build-*/
6 +_skbuild/
7 +dist/
8 +*.egg-info/
9 +wheelhouse/
10 +*.o
11 +*.a
12 +*.dylib
13 +*.so
14 +*.air
15 +*.metallib
16 +#
17 +Python
18 +__pycache__/
19 +*.pyc
20 +.pytest_cache/
21 +.hypothesis/
22 +.venv/
23 +.ruff_cache/
24 +#
25 +Data
26 +—
27 +FirstRate
28 +private
29 +license:
30 +never
31 +commit
32 +real
33 +bars
34 +datasets/cache/
35 +datasets/real/
36 +data/
37 +*.parquet
38 +!datasets/fixtures/*.parquet
39 +!datasets/synthetic/*.parquet
40 +experiments/results/raw/*.arrow
41 +#
42 +Secrets
43 +.env
44 +*.key
45 +api-key*.txt
46 +#
47 +LaTeX
48 +paper/*.aux
49 +paper/*.log
50 +paper/*.out
51 +paper/*.toc
52 +paper/*.lof
53 +paper/*.lot
54 +paper/*.fls
55 +paper/*.fdb_latexmk
56 +paper/*.bbl
57 +paper/*.blg
58 +paper/*.synctex.gz
59 +paper/*.run.xml
60 +paper/*.bcf
61 +#
62 +macOS
63 +.DS_Store
64 +Icon?
65 +logs/
added CLAUDE.md +207 −0
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1 +# CLAUDE.md — UQO Research WP40
2 +
3 +## RAID — Research Architecture for Intraday Data
4 +### A Metal-Accelerated C++ Framework for High-Frequency Financial Econometrics
5 +
6 +**Mission.** Build a research-grade, open-source C++20/Metal library, Python bindings, reproducible benchmark suite, and
7 +submission-ready LaTeX methods paper. Mandatory data API: https://findata.spboucher.ai/api/v1. Work in the existing UQO
8 +Research repository under `wp40_raid/`, respecting its conventions. Never invent performance, results, citations,
9 +features, or novelty.
10 +
11 +Repository-specific notes (added 2026-11-02 at Phase 0):
12 +- Location: `Recherche-UQO/finance/wp40_raid/` (UQO Working Paper No. 40; git remote `gitsrv:srv/git/wp40_uqo.git`).
13 +- Paper conventions: `Recherche-UQO/HARMONISATION.md` (title page macros, `aer` bibliography style, `Month YYYY` date).
14 +- FinData key: `FINDATA_API_KEY` env var, or `~/Desktop/Cluster/secrets/findata/api-key-claude-code.txt` read by the
15 + helper scripts; never committed, never logged.
16 +- Development machine: the owner's laptop (Apple M5 Max, 40 GPU cores, 48 GB, macOS 27.0, Xcode 27.2). MacLustr nodes
17 + are used only for E7 (generation sweep) with a self-contained binary bundle; no production service is touched.
18 +- Status ledger: `RESEARCH_STATUS.md`; decision log: `docs/DECISIONS.md`; phase journal: `docs/PROGRESS.md`.
19 +
20 +## 1. Scientific thesis
21 +
22 +RAID is not merely a faster library. Test whether heterogeneous high-frequency econometric workloads can be transformed
23 +into batched, fused, streaming computation on Apple Silicon without sacrificing estimator accuracy, statistical
24 +inference, or reproducibility. Three falsifiable research questions: (1) At what data and batch sizes does Metal beat
25 +optimized multicore CPU, including I/O, shader compilation, synchronization, and transfer? (2) Does batched estimation
26 +improve throughput while preserving statistical coverage and convergence? (3) Can an Arrow/Parquet-to-estimator pipeline
27 +materially reduce copies, memory pressure, and end-to-end latency? Explicitly report cases where CPU wins. A long model
28 +list alone is not a contribution.
29 +
30 +Target journals: Journal of Financial Econometrics, Journal of Financial Data Science, Journal of Computational Finance;
31 +consider broader outlets only if a strong methodological advance is demonstrated. Paper title: RAID: A Metal-Accelerated
32 +C++ Framework for Reproducible High-Frequency Financial Econometrics.
33 +
34 +## 2. Mandatory discovery before coding
35 +
36 +Audit UQO Research and its WP structure, existing CMake/Python/LaTeX templates, Git practices, and previous volatility
37 +research. Probe available MacLustr nodes, macOS/Xcode/Metal versions, Apple GPU capabilities, RAM, disk, load, power and
38 +thermal conditions; never assume older inventory remains valid or interfere with production services. Read FinData
39 +API.md, DATA_DICTIONARY.md, DISCOVERY.md and live OpenAPI/catalog. Produce docs/audit.md, docs/capabilities.md,
40 +docs/novelty_matrix.md, docs/risks.md.
41 +
42 +Research relevant implementations in R highfrequency/rugarch/rmgarch, Python arch/statsmodels/NumPy/SciPy/Polars, Julia,
43 +DuckDB, Eigen, Accelerate, BLAS/LAPACK and GPU toolkits. Verify versions, mathematical equivalence and citations.
44 +Distinguish engineering novelty from new econometric methodology. Confirm software and data licensing. Apple Metal
45 +itself is proprietary even if RAID is open source.
46 +
47 +## 3. Repository structure
48 +
49 +```
50 +wp40_raid/
51 + CLAUDE.md README.md LICENSE CITATION.cff CMakeLists.txt CMakePresets.json pyproject.toml
52 + include/raid/{core,data,statistics,estimators,models,backend}/
53 + src/{core,data,statistics,estimators,models}/
54 + backends/cpu/ backends/metal/{host,shaders}/
55 + bindings/python/ python/raid/ cli/
56 + tests/{unit,property,reference,simulation,stress,integration}/
57 + benchmarks/{micro,end_to_end,accuracy,scalability,energy}/
58 + experiments/{configs,scripts,results,manifests}/
59 + datasets/{synthetic,fixtures}/
60 + docs/{architecture,api,methods,validation,operations}/
61 + examples/{cpp,python,notebooks}/
62 + paper/{main.tex,sections,figures,tables,appendices,references.bib}/
63 + scripts/ .github/workflows/
64 +```
65 +
66 +## 4. Technical architecture
67 +
68 +Use modern C++20, RAII, explicit buffer ownership, strong types for timestamps/frequencies, safe exceptions/errors,
69 +structured logging, deterministic seeds, bounded memory and thread pools. CPU reference backend: multicore C++ with
70 +vetted Eigen/Accelerate/BLAS. Metal backend: Objective-C++ bridge, Metal Shading Language kernels, device capability
71 +discovery, reusable compute pipelines, asynchronous command buffers, buffer pools, batching, kernel fusion, chunking,
72 +backpressure and robust CPU fallback. Python bindings via nanobind or pybind11, NumPy/Arrow interoperability, correct
73 +lifetimes and GIL release. CMake and installable macOS ARM64 wheels; portable CPU build on Linux. CLI: raid devices,
74 +raid data, raid estimate, raid validate, raid benchmark.
75 +
76 +Core types: TimeSeries, Panel, BarSeries, MarketCalendar, QualityReport, ModelSpecification, Estimate, InferenceResult,
77 +PrecisionPolicy, ExecutionPlan, Device, Backend, ExperimentManifest. Estimators must be backend-independent and expose
78 +coefficients, loss, uncertainty where available, convergence, warnings, runtime, backend, precision and provenance.
79 +Never treat failed optimizations as successful.
80 +
81 +Optimize columnar layouts, contiguous arrays, alignment, Arrow zero-copy views where actually possible, threadgroup
82 +occupancy, memory access, register pressure, command overhead and synchronization. Unified memory is not free
83 +computation. Apple Metal FP64 GPU support must never be assumed; use validated FP32/mixed precision or CPU FP64
84 +fallbacks. Use stable reductions, log-domain likelihoods, parameter transforms, Cholesky/QR/SVD as appropriate,
85 +conditioning checks, and matrix solves rather than explicit inversion. Make deterministic behavior and nondeterministic
86 +GPU reductions visible.
87 +
88 +## 5. FinData integration — mandatory
89 +
90 +Use https://findata.spboucher.ai/api/v1, with API key only from FINDATA_API_KEY or secure store, bearer auth, TLS,
91 +sanitized logs, retries/backoff, bounded concurrency, rate-limit compliance, pagination, caching, checksums and
92 +provenance. Discover current endpoints via /api/v1/openapi.json and catalog. Implement /catalog/datasets, /market/bars,
93 +/fundamentals/{entity}?as_of=..., asynchronous /exports and polling/download, and optionally bounded read-only /query
94 +when justified. Use Arrow IPC and Parquet for large workloads.
95 +
96 +Documented constraints: 1m bars at most 31 days per direct call, 5m at most 186 days, 1d at most 10 years, max 10,000
97 +rows/page; use bulk exports for historical panels. SQL playground: read-only, 30 seconds, 100,000 rows. Default API-key
98 +rate limit is 600 requests/minute (check current configuration). Preserve X-Dataset-Id, X-Dataset-Version, request IDs,
99 +archive hashes and dataset snapshots.
100 +
101 +FinData bars are OHLCV bars, not tick trades or quotes. timestamp_utc is bar OPEN, session_date uses exchange timezone,
102 +US equities can include 04:00–20:00 ET, regular hours 09:30–16:00, and the 16:00 bar is a closing print. Zero-volume
103 +minutes may be absent; do not manufacture bars or silently forward-fill. Respect DST, early closes, corporate actions,
104 +quality flags, raw/split/split_div adjustments, delisted identifiers and symbol aliases. Maintain explicit
105 +regular/extended-session policies. Licensed datasets may not yet be ingested: check catalog and coverage, never assume
106 +historical completeness. Fundamental PIT available_at is a proxy, and historical revisions before ingestion may be
107 +unrecoverable. FirstRate private-use raw data must not be redistributed or included in the public repository; synthetic
108 +fixtures only in CI. Attribute data source in paper.
109 +
110 +## 6. Model registry and scope
111 +
112 +Maintain a registry for each method: precise equations, input schema, assumptions, data frequency, parameter
113 +restrictions, estimation method, uncertainty, supported backend, numerical tolerance, test fixtures, validation status.
114 +Use experimental or not implemented honestly; never publish stub methods as supported.
115 +
116 +**Tier A — production MVP, fully validated.** Data/statistics: log and arithmetic returns, lag/lead, irregular
117 +resampling, rolling/expanding windows, OHLCV validation, calendar-aware aggregation, realized return/variance/volatility,
118 +rolling correlations, drawdown, descriptive moments, autocovariance and robust missing-data policies. Realized measures:
119 +RV, bipower variation, positive/negative semivariance, realized quarticity, realized covariance/correlation, jump proxies
120 +with explicit finite-sample constants and sampling assumptions. No claims of microstructure-noise robustness without
121 +appropriate estimator and validation. Regression: OLS, WLS, ridge, rolling/batched OLS, fixed effects, HC robust SE,
122 +HAC/Newey-West, cluster-robust covariance, stable QR/SVD CPU reference, GPU batched sufficient-statistic accumulation
123 +when advantageous. HAR: HAR-RV, HAR-logRV, HAR-X and HARQ with explicit definitions, causal lag construction, forecast
124 +horizons and robust inference. Volatility: Gaussian/Student-t GARCH(1,1), GJR-GARCH(1,1), EGARCH(1,1), parameter
125 +constraints, stable likelihood, initialization, gradients or validated numerical derivatives, optimizer convergence, SE
126 +and forecasting. GPU primitives: parallel reductions, rolling sums/squares, covariance, batched matrix products, GARCH
127 +likelihood, Monte Carlo and bootstrap replicas, batched HAR fitting. Measure precision and speed for every kernel.
128 +
129 +**Tier B — research extensions, only after Tier A passes.** Realized GARCH, HEAVY, GARCH-MIDAS, MIDAS, FIGARCH where
130 +stable, ARMA/ARIMA, VAR, BVAR, VECM, DCC-GARCH, multivariate realized covariance, local projections, Granger tests,
131 +generalized FEVD, Diebold–Yilmaz connectedness, rolling networks, factor models, PCA, shrinkage covariance, portfolio
132 +risk/forecasting, quantile regression, state-space/Kalman filtering, change-point detection.
133 +
134 +**Tier C — experimental and data-dependent.** Pre-averaging, multi-scale RV, realized kernels, BNS and other jump
135 +tests, lead-lag methods, high-dimensional covariance, stochastic volatility, sparse VAR, Bayesian MCMC, particle
136 +filtering, regime switching, graph volatility models, Monte Carlo/quasi-Monte Carlo, Hawkes only if actual event
137 +timestamps are separately available, and order-flow/order-book methods only with independently licensed trade/quote
138 +data. Never infer true order-book imbalance or transaction-level microstructure from 1-minute OHLCV.
139 +
140 +## 7. Correctness, numerical validation and inference
141 +
142 +Every implemented method needs: (a) independent CPU FP64 reference, (b) analytical or simulation truth where possible,
143 +(c) comparison to established software with identical definitions, (d) GPU/CPU agreement within documented
144 +method-specific tolerance, (e) adversarial cases. Test zero/missing volume, holidays, DST, 16:00 print, split days,
145 +irregular timestamps, extreme returns, singular matrices, near-unit-root GARCH, nonconvergence, insufficient samples,
146 +memory pressure, cancellation and device fallback. Check gradients via finite differences where applicable. Separate
147 +approximation error from floating-point error. Monte Carlo evaluation: bias, RMSE, empirical size, power, confidence
148 +interval coverage, forecast loss, parameter convergence and failure rate. Use block/bootstrap schemes appropriate for
149 +dependent financial data. Track random seed and parallel RNG streams. Set tolerances per algorithm and precision.
150 +
151 +## 8. Publication-grade benchmark protocol
152 +
153 +Compare RAID CPU single-thread, RAID multicore CPU, RAID Metal, and mathematically equivalent established competitors.
154 +Record versions, build flags, machine, GPU, OS, clocks/power mode when measurable, memory, compiler, cache, precision and
155 +convergence tolerance. Test series counts 1/10/100/1000/10000 and lengths 390/3900/39000/390000 where feasible. Include
156 +sparse/irregular bars, 1m/5m, synthetic and explicitly identified real panels. Workloads: realized measures, rolling
157 +covariance, HAR, GARCH, VAR, bootstrap, Monte Carlo, plus full FinData export → Arrow/Parquet → preprocessing → fit →
158 +output. Report cold and warm cache, first shader compilation and cached compilation, synchronization, allocation and
159 +end-to-end transfer. Use warmups, randomized benchmark order, multiple repetitions, medians and uncertainty intervals.
160 +Metrics: wall-clock, fits/sec, bars/sec, peak RSS, buffer allocations, numerical error, convergence rate, energy only if
161 +measured with a valid instrument. Speedup = T_reference / T_RAID for equivalent computations. Never extrapolate untested
162 +throughput. Show break-even charts and CPU-wins cases. Include ablation of batching, kernel fusion, memory reuse,
163 +precision, and I/O strategy.
164 +
165 +## 9. Research experiments
166 +
167 +E1 batched realized variance on thousands of equities, scaling versus panel width and window length. E2 HAR-RV/HAR-X
168 +rolling estimation and 1/5/22-day forecasts, accuracy and runtime. E3 GARCH-family panel estimation, likelihood
169 +accuracy, convergence, SE and forecast quality. E4 realized covariance and dynamic network connectedness with
170 +memory/conditioning constraints. E5 bootstrap and Monte Carlo inference with coverage and reproducibility. E6 streaming
171 +FinData Arrow/Parquet ingestion and end-to-end throughput. E7 stress tests across available Apple Silicon generations
172 +and CPU-only fallback. Strict chronological splits and point-in-time handling for forecasting. Separate performance
173 +benchmarking from predictive-model selection. Publish negative results.
174 +
175 +## 10. Paper structure
176 +
177 +Abstract; introduction and scientific gap; related econometric and systems literature; RAID architecture and API;
178 +mathematical estimator definitions; Metal execution and precision strategy; statistical correctness; experimental setup;
179 +microbenchmarks; end-to-end benchmarks; financial applications; threats to validity; reproducibility/licensing;
180 +conclusion. Appendices: kernel pseudocode, optimizer details, finite-sample conventions, complete benchmark
181 +configuration, reference-validation tables, numerical tolerance tables, API provenance and hardware inventory. Real
182 +verified BibTeX references, journal-ready tables/figures, zero unresolved citations. Never claim peer review, novelty, or
183 +superior accuracy without evidence.
184 +
185 +## 11. Execution phases and gates
186 +
187 +Phase 0 Audit → Phase 1 Foundation → Phase 2 Data → Phase 3 Numerical primitives → Phase 4 Econometrics → Phase 5
188 +Extensions → Phase 6 Benchmarking → Phase 7 Manuscript → Phase 8 Independent review. Each gate is recorded in
189 +`RESEARCH_STATUS.md` and `docs/PROGRESS.md` with the actual commands and results.
190 +
191 +## 12. Deliverables and release criteria
192 +
193 +Compiled C++ library, Metal kernels, Python wheel, CLI, public synthetic examples, API documentation, method registry,
194 +tests, CI, benchmark harness, reproducibility manifests, versioned release, CITATION.cff, license and a complete
195 +PDF/LaTeX paper. Minimal Python and C++ examples with `backend="auto|cpu|metal"` and clear CPU fallback.
196 +`RESEARCH_STATUS.md` lists what is implemented, verified, experimental, blocked and planned. No public release until:
197 +no secrets in git; no redistribution of raw FirstRate data; Tier A methods pass reference tests; Metal unsupported cases
198 +fall back safely; performance claims are reproduced; all paper tables/figures derive from tracked artifacts; a clean
199 +environment can build and run the project.
200 +
201 +## 13. Agent operating rules
202 +
203 +Work sequentially. At each phase: write a concise plan, implement, execute tests, record actual commands/results,
204 +update RESEARCH_STATUS.md, and only advance when the gate passes. When blocked, document the blocker and the next safe
205 +action rather than pretending success. Never rewrite unrelated UQO Research code, overwrite datasets, alter live
206 +infrastructure, leak credentials, or launch unbounded vendor downloads. Prioritize statistical validity and a
207 +publishable scientific contribution over breadth and marketing language.
added LICENSE +27 −0
@@ -0,0 +1,27 @@
1 +MIT License
2 +
3 +Copyright (c) 2026 Simon-Pierre Boucher, Université du Québec en Outaouais
4 +
5 +Permission is hereby granted, free of charge, to any person obtaining a copy
6 +of this software and associated documentation files (the "Software"), to deal
7 +in the Software without restriction, including without limitation the rights
8 +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
9 +copies of the Software, and to permit persons to whom the Software is
10 +furnished to do so, subject to the following conditions:
11 +
12 +The above copyright notice and this permission notice shall be included in all
13 +copies or substantial portions of the Software.
14 +
15 +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 +SOFTWARE.
22 +
23 +---
24 +Data notice: market data used in the accompanying experiments are licensed from
25 +FirstRate Data under a private-use license and are NOT part of this software.
26 +Only synthetic fixtures are distributed. Apple Metal is a proprietary API of
27 +Apple Inc.; the Metal backend is optional and the CPU backend is portable.
added paper/.latexmkrc +5 −0
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1 +$pdf_mode = 1;
2 +$pdflatex = 'pdflatex -interaction=nonstopmode -halt-on-error -synctex=1 %O %S';
3 +$bibtex_use = 2;
4 +$clean_ext = 'synctex.gz run.xml bbl bcf fdb_latexmk fls log aux out toc lof lot blg';
5 +@default_files = ('main.tex');
added paper/Makefile +11 −0
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1 +.PHONY: all clean distclean
2 +
3 +all:
4 + latexmk
5 +
6 +clean:
7 + latexmk -c
8 +
9 +distclean:
10 + latexmk -C
11 + rm -f *.synctex.gz *.run.xml *.bbl *.bcf
added paper/sections/titlepage.tex +77 −0
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1 +% ============================================================================
2 +% Title Page
3 +% ============================================================================
4 +\thispagestyle{empty}
5 +
6 +\begin{center}
7 +
8 +% --- Logo ---
9 +\includegraphics[width=3.5cm]{uq_logo.jpg}
10 +
11 +\vspace{0.6cm}
12 +
13 +{\footnotesize\textsc{Université du Québec en Outaouais}}\\[0.15cm]
14 +{\footnotesize\textsc{Département des sciences administratives}}
15 +
16 +\vspace{0.8cm}
17 +
18 +{\footnotesize\textsc{Working Paper No.~\WPnumber}}
19 +
20 +\vspace{1.2cm}
21 +
22 +% --- Title ---
23 +{\LARGE\bfseries \WPtitle\par}
24 +
25 +\ifx\WPsubtitle\empty\else
26 + \vspace{0.3cm}
27 + {\large\itshape \WPsubtitle\par}
28 +\fi
29 +
30 +\vspace{1.2cm}
31 +
32 +% --- Author ---
33 +{\large \WPauthor}\\[0.3cm]
34 +{\normalsize \WPaffiliation}\\[0.15cm]
35 +{\normalsize \href{mailto:\WPemail}{\WPemail}}\\[0.15cm]
36 +{\small \WPaddress}
37 +
38 +\vspace{0.8cm}
39 +
40 +% --- Date & Version ---
41 +{\normalsize \WPdate}\\[0.1cm]
42 +{\small Version~\WPversion}
43 +
44 +\end{center}
45 +
46 +\vfill
47 +
48 +\newpage
49 +
50 +% ============================================================================
51 +% Abstract Page
52 +% ============================================================================
53 +\thispagestyle{empty}
54 +
55 +\vspace*{1cm}
56 +
57 +\noindent\rule{\textwidth}{0.4pt}
58 +\vspace{0.3cm}
59 +
60 +\noindent\textbf{Abstract}
61 +
62 +\vspace{0.15cm}
63 +
64 +\noindent\WPabstract
65 +
66 +\vspace{0.4cm}
67 +
68 +\noindent\textbf{Keywords:} \WPkeywords
69 +
70 +\vspace{0.15cm}
71 +
72 +\noindent\textbf{JEL Classification:} \WPjel
73 +
74 +\vspace{0.3cm}
75 +\noindent\rule{\textwidth}{0.4pt}
76 +
77 +\newpage
added paper/sections/titlepage_anon.tex +53 −0
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1 +% ============================================================================
2 +% ANONYMOUS TITLE PAGE — for double-anonymized journal submission
3 +% Used by paper/main_anon.tex (same macros as main.tex, no author block,
4 +% no institution, no logo). Abstract/keywords/JEL page identical to titlepage.tex.
5 +% ============================================================================
6 +\thispagestyle{empty}
7 +\begin{center}
8 +
9 +\vspace*{3cm}
10 +
11 +{\LARGE\bfseries \WPtitle\par}
12 +
13 +\ifx\WPsubtitle\empty\else
14 + \vspace{0.3cm}
15 + {\large\itshape \WPsubtitle\par}
16 +\fi
17 +
18 +\vspace{1.5cm}
19 +
20 +{\normalsize [Author identity withheld for review]}
21 +
22 +\vspace{0.8cm}
23 +
24 +{\normalsize \WPdate}
25 +
26 +\end{center}
27 +
28 +\vfill
29 +
30 +\newpage
31 +\thispagestyle{empty}
32 +\vspace*{1cm}
33 +
34 +\noindent\rule{\textwidth}{0.4pt}
35 +\vspace{0.3cm}
36 +
37 +\noindent\textbf{Abstract}
38 +\vspace{0.15cm}
39 +
40 +\noindent\WPabstract
41 +
42 +\vspace{0.4cm}
43 +
44 +\noindent\textbf{Keywords:} \WPkeywords
45 +
46 +\vspace{0.15cm}
47 +
48 +\noindent\textbf{JEL Classification:} \WPjel
49 +
50 +\vspace{0.3cm}
51 +\noindent\rule{\textwidth}{0.4pt}
52 +
53 +\newpage
added paper/uq_logo.jpg +0 −0

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