ABSTRACT
This study aims to examine and provide empirical evidence regarding the effect of utilizing Artificial Intelligence (AI) as a learning medium in accounting education on students’ financial management behavior, both directly and through financial literacy as a mediating variable. This study is important given the rapid development of AI technology in education, while students’ ability to understand and manage their finances wisely needs to be continuously strengthened. Therefore, empirical research is needed to determine whether the use of AI in accounting education can contribute to improving students’ financial literacy and financial management behavior. This study employs a quantitative approach using a survey method. The research sample consisted of 35 eleventh-grade accounting students at SMK Negeri 6 Medan, selected through purposive sampling based on the criterion that participants were active users of AI technology. Data were collected using a closed-ended questionnaire with a Likert scale, while data analysis was conducted using simple and multiple linear regression and the Sobel test, processed using SPSS software. The results show that AI utilization has a positive and significant effect on financial literacy, with a contribution of 61.6%, and has a direct effect on financial management behavior of 65.5%. Financial literacy also has a significant partial effect on financial management behavior, with a contribution of 80.4%. Simultaneously, AI utilization and financial literacy influence financial management behavior by 83.3%. The Sobel test further demonstrates that financial literacy significantly serves as a partial mediator in the relationship between AI utilization and students’ financial management behavior. In conclusion, the utilization of AI as a learning medium in accounting education is an effective strategy for developing students’ financial literacy and financial management behavior in an integrated manner.
ABSTRAK
Penelitian ini bertujuan untuk menguji dan memberikan bukti empiris mengenai pengaruh pemanfaatan Artificial Intelligence (AI) sebagai media pembelajaran akuntansi terhadap perilaku pengelolaan keuangan siswa, baik secara langsung maupun melalui literasi keuangan sebagai variabel mediasi. Penelitian ini penting dilakukan mengingat perkembangan teknologi AI dalam pembelajaran semakin pesat, sementara kemampuan siswa dalam memahami dan mengelola keuangan secara bijak perlu terus diperkuat. Oleh karena itu, diperlukan kajian empiris untuk mengetahui apakah pemanfaatan AI dalam pembelajaran akuntansi dapat berkontribusi terhadap peningkatan literasi keuangan dan perilaku pengelolaan keuangan siswa. Penelitian ini menggunakan pendekatan kuantitatif dengan metode survei. Sampel penelitian berjumlah 35 siswa kelas XI jurusan Akuntansi di SMK Negeri 6 Medan yang dipilih melalui teknik purposive sampling dengan kriteria merupakan pengguna aktif teknologi AI. Pengumpulan data dilakukan menggunakan instrumen kuesioner tertutup berskala Likert, sedangkan analisis data menggunakan regresi linier (sederhana dan berganda) serta Uji Sobel yang diolah menggunakan perangkat lunak SPSS. Hasil penelitian menunjukkan bahwa pemanfaatan AI berpengaruh positif dan signifikan terhadap literasi keuangan dengan kontribusi sebesar 61,6%, serta berpengaruh langsung terhadap perilaku pengelolaan keuangan sebesar 65,5%. Literasi keuangan secara parsial juga berpengaruh signifikan terhadap perilaku pengelolaan keuangan sebesar 80,4%. Secara simultan, pemanfaatan AI dan literasi keuangan memengaruhi perilaku pengelolaan keuangan sebesar 83,3%. Melalui pengujian Uji Sobel, literasi keuangan terbukti secara signifikan berperan sebagai mediator parsial (partial mediation) dalam hubungan antara pemanfaatan AI dan perilaku pengelolaan keuangan siswa. Kesimpulannya, pemanfaatan AI sebagai media pembelajaran akuntansi terbukti menjadi strategi efektif yang mampu membentuk literasi keuangan dan perilaku pengelolaan keuangan siswa secara terintegrasi.
Muhammad Ariel, Natasya Ramadhani Citra, Delima Sianipar et al.· SECONDARY: Jurnal Inovasi Pe...· 0 citations
Normal values of nasal angular parameters of the Garhwal Himalayan population have been established and will prove its worth during plastic surgeries of the face, diagnosing genetic diseases, manufacturing facial accessories and criminal investigation procedures.
Niyati Airan, Anil Kumar Dwivedi, Ananya Sharma et al.· Journal of Clinical and Diag...· 0 citations
PooledScreenID is an installable, research-use Python package that separately reports material cold-start gain, outcome-blind control association, representation separability and external calibration before generating a claim resolution. Version 0.1.2 includes a minimal Python API, command-line interface, machine-readable four-axis claim ledger, tests, continuous-integration configuration, frozen configurations and reproducible EGFR and MET examples. The software does not prove a molecular mechanism and does not make patient-level treatment recommendations.
niu niu, Wei Fang, wenjuan li et al.· Zenodo (CERN European Organi...· 0 citations
This study aimed to investigate the effect of using educational software on developing mathematical problem-solving skills among Grade Six primary school pupils. The study adopted a descriptive-analytical approach to examine pupils’ performance before and after the educational intervention. The study sample consisted of 140 pupils from five basic education schools. A 25-item mathematics problem-solving test was administered as a pre-test and post-test, with a maximum score of 25 points.
The results revealed a clear improvement in pupils’ performance following the educational intervention. The overall mean score increased from 14.70 in the pre-test to 21.72 in the post-test, with an overall mean gain of 7.02 points. In terms of percentage, the overall performance increased from 58.80% to 86.88%. Among the five schools, Manarat Al-Ilm Basic Education School achieved the highest mean gain, reaching 7.53 points, equivalent to 30.12 percentage points. These findings indicate that the use of educational software had a positive effect on improving pupils’ mathematical problem-solving skills.
The study recommends expanding the use of educational software in mathematics teaching, providing appropriate training for teachers, improving the technological infrastructure of schools, and conducting future studies using larger samples and longer intervention periods.
A. Hussein, Saleh Al-Hajjahi· Comprehensive Journal of Sci...· 0 citations
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This record contains Rigorous Consolidated Core v2.1.5 of the Helix–Light–Vortex Framework (HLV). HLV is positioned in this revision as: Helix–Light–Vortex Framework (HLV) A Cut-and-Project and Incidence-Spectral Research Programme. The term “Framework” denotes the existing mathematical architecture and provenance of the programme. The active scientific direction is the HLV Cut-and-Project / Incidence-Spectral Research Programme. The present work is not presented as a validated fundamental physical theory. The consolidated core separates: - native 6D-to-3D cut-and-project carrier construction; - abstract incidence structure; - finite carrier fingerprints; - spectral and Hodge diagnostics; - explicitly postulated free dynamics; - continuum obligations; - gauge-sector mathematics; - theorem-level no-go boundaries; - and physical interpretation. Version 2.1.5 preserves the previous locked negative and bounded results while integrating the completed HLV-R-MECH-001 mechanism chain. The principal established structural constraints remain: 1. Native projected geometry HLV-LAYER-ORIGIN-007F / 007F-CERT establishes that the tested native projected tetrahedral assembly is not a strict global face-to-face simplicial realization. The local projected rank-three cell geometry remains mathematically valid, but the tested assembly cannot be promoted to a global native piecewise-flat or Regge manifold without a new validated global metric-complex construction. 2. Abstract incidence complex HLV-DG-001 independently certifies the retained parent-labelled structure as an exact finite oriented 0–3 chain complex with (N0, N1, N2, N3) = (1110, 5345, 6960, 2826), boundary ranks (1109, 4137, 2823), Betti vector (1, 99, 0, 3), and exact chain identities B1 B2 = 0, B2 B3 = 0. 3. Static and dynamic specificity HLV-DG-002 rejects HLV-specificity of the frozen cross-grade Hodge signature under the complete R/Q/W null ensemble. HLV-FA-DYN-001 rejects overall HLV-specific dynamic transport under its frozen R/Q/W ensemble. Its degree-preserving rewire family separates strongly, but the broader geometric controls defeat the complete specificity claim. HLV-DS-SPEC-001R separately rejects full native-carrier graph-spectral specificity under the frozen R/Q/W/IRR ensemble. Its locked machine verdict is: DSSPEC001R_FAIL_PARTIAL_SIGNATURE_OR_FAMILY_ONLY The degree-preserving R family passes both QSPEC and RRESP, while Q, W, and IRR fail the complete frozen criteria. This result established only a bounded graph-spectral structural residual and did not identify its mechanism. 4. HLV-R-MECH-001 mechanism localization Version 2.1.5 integrates the first prospectively frozen mechanism localization of that surviving graph-spectral R residual. Controlling protocol: Krūger, M. (2026). HLV-R-MECH-001: Prospective Triangle-Matched Mechanism Test of the Surviving Degree-Preserving Rewire Spectral Residual — Pre-Execution Protocol Freeze v0.1.0. Zenodo. DOI: 10.5281/zenodo.22166283 Authoritative corrected implementation: Krūger, M. (2026). HLV-R-MECH-001: Deterministic One-Click Engine for Triangle-Matched Rewire Mechanism Testing — Corrected Implementation Freeze v0.1.2 [Computer software]. Zenodo. DOI: 10.5281/zenodo.22170307 Locked confirmatory results: Krūger, M. (2026). HLV-R-MECH-001: Locked Confirmatory Results for Triangle-Matched Mechanism Testing of the Degree-Preserving Rewire Spectral Residual v0.1.0 [Computer software]. Zenodo. DOI: 10.5281/zenodo.22170620 Locked result ZIP SHA-256: 69f927faba83b203d7dffbf028de680e6a6a3e36818002bc0e1ab27d5c01797d The successful locked machine verdict is: RMECH001_PASS_TRIANGLE_MATCH_COLLAPSE_PATTERN The experiment used two fresh prospectively frozen control families. R_DEG preserves the exact labelled target degree sequence while allowing the global triangle count to vary. R_TRI preserves both the complete labelled degree sequence and the exact global target triangle count T = 6960. Both families were matched in rewiring depth. The fresh R_DEG baseline reproduces the earlier graph-spectral residual: QSPEC: PASS RRESP: PASS with robust margins approximately 5.7870 and 7.7221. Under exact triangle matching, R_TRI returns: QSPEC: FAIL RRESP: FAIL under the complete prospectively frozen multi-band gate. The target-control distance relative to R_DEG is reduced by approximately: 74.85% for QSPEC, and 69.39% for RRESP. This prospectively localizes triangle/face organization as a major contributor to the previously observed degree-preserving rewire spectral residual. The result has an exact low-order spectral basis. For a simple graph Laplacian L = D - A, the identities Tr(L) = sum_i d_i, Tr(L^2) = sum_i d_i^2 + sum_i d_i, and Tr(L^3) = sum_i d_i^3 + 3 sum_i d_i^2 - 6T hold. Consequently, preserving the complete degree sequence and exact triangle count fixes the target values of the first three raw Laplacian spectral moments exactly. This mechanism result does not prove that global triangle count is the sole cause of the residual. In R_TRI, the target distances remain above the corresponding maximum leave-one-out distances and retain robust margins above 1.5, but only one of three frozen spectral bands passes in each signature. Predeclared secondary diagnostics also retain structural differences in: - local per-vertex triangle distribution; - clustering; - four-cycle counts; - assortativity; - algebraic connectivity; - and other higher-order local structure. The natural successor is therefore a separately prospectively frozen local-triangle-profile and short-cycle mechanism test. 5. Carrier fingerprint status The finite orientation-sensitive carrier fingerprint remains a bounded C2 result. Stage 6B and Stages 12–16 support an internally replicated orientation-sensitive finite carrier fingerprint under the stated frozen nulls. Stage 17 blocks the stronger fixed-window R = 2,3,4 scaling claim. Stage 18 remains diagnostic and does not overwrite that result. No injectivity theorem currently maps the finite fingerprint uniquely back to a microscopic carrier or physical spacetime. 6. Minimal free dynamics HLV-FA-0 remains explicitly axiomatic rather than derived. It postulates the cochain Hilbert space H_FA = direct sum from p=0 to 3 of C^p(K_abs; C), the minimal incidence-linear self-adjoint Hodge–Dirac generator D_K = d + delta, and one symbolic positive energy scale E_H. The numerical value of E_H is not predicted. The DG-001 Betti vector implies 103 exact Hodge–Dirac zero modes on the finite target. No particle masses, gauge interactions, gravity, dark-sector portal, or absolute physical energy scale follows from FA-0 alone. 7. Scalar-mode and gauge boundaries The core retains theorem-level no-go and covariance results showing, among other things, that: - a positive carrier Laplacian cannot generate a homogeneous negative quadratic direction from a nonnegative local mass; - a centered deformation F(L_G) with F(0)=0 leaves the constant-mode quadratic coefficient unchanged; - a bare tensor Laplacian L_G tensor I_r is not locally U(r)-frame covariant without independently supplied link transporters; - a fixed wrong-sign coefficient on a genuine refinement generator with diverging ultraviolet edge produces an unbounded negative spectral minimum. The finite compact-group gauge Hamiltonian remains mathematically well-defined with a positive finite-complex spectral gap, but this does not establish a continuum Yang–Mills mass gap. 8. Continuum boundary A single fixed bounded-degree, bounded-weight carrier has bounded Laplacian spectrum and therefore no intrinsic ultraviolet limit. A genuine continuum programme requires a changing refinement family, explicit scaling, identification maps, and an appropriate convergence theorem such as Mosco or generalized strong-resolvent convergence. No such native HLV continuum theorem is established in the present core. Scientific status after v2.1.5 The HLV Framework contains a reproducible mathematical cut-and-project construction, a certified finite abstract incidence complex, several rigorous operator sectors, theorem-level no-go results, finite carrier diagnostics, preserved negative specificity results, and a prospectively confirmed graph-spectral mechanism localization. The new HLV-R-MECH-001 result substantially clarifies the origin of the earlier degree-preserving R residual: triangle/face organization is a major contributor. It does not rescue the previously failed full carrier-specificity claims and does not establish that the native golden 6D-to-3D carrier is a fundamental physical substrate. The present evidence does not establish: - physical selection of the golden ratio; - a unique microscopic 6D-to-3D geometry; - Lorentzian spacetime; - a native Regge manifold; - Standard-Model recovery; - a Higgs mechanism; - particle masses; - an absolute HLV energy scale; - continuum Yang–Mills; - gravity; - dark matter; - dark energy; - cosmology; - or experimental validation. The active programme is therefore intentionally narrower: to determine which structural, incidence, spectral, and refinement properties of cut-and-project and related discrete systems survive increasingly strong matched alternatives, and to distinguish general mathematical mechanisms from genuinely carrier-specific effects before any physical interpretation is attempted. This revision strengthens mechanism identification and falsification discipline while leaving the fundamental physical claim level unchanged.
Marcel Krüger· Zenodo (CERN European Organi...· 0 citations
A guaranteed-coverage confidence interval for the two-sample standardized effect William J. Dwyer, MD, MPH, FAAP — Department of Mathematics and Statistics, University of Massachusetts Lowell. ORCID 0009-0004-0855-7222. Concept DOI (always resolves to the latest version): 10.5281/zenodo.22114522. Published v1.0.0:10.5281/zenodo.22114523 (2026-08-26, the earlier two-tier construction). The three-tier update described below is staged as a pending new version (v1.1.0) on the same concept DOI. What this is The reproducibility deposit for the m01te methods paper: a guaranteed-coverage confidence interval for the two-sample standardized effect (Cohen's d) at the skewed, unequal-variance, small-n corner where the textbook interval silently under-covers. The noncentral-t inversion assumes normal data and equal variances; at a lognormal, four-to-one variance-ratio, n = 10 design its realized coverage falls to 0.81 against a nominal 0.95, and a naive percentile bootstrap of dfalls further, to 0.78 — a joint failure of the mean-difference reference and the variance estimate that standardizes it, which resampling does not repair. The paper gives a three-tier recommendation, mirroring the companion two-sample test and the one-way effect-size paper: Classical — the noncentral-t / normal-approximation interval, the everyday default, liberal at the corner. Calibrated middle tier — the guaranteed two-sample test T_BB inverted for the mean difference at the full level, divided by the plug-in pooled scale. Closed-form and deterministic (no resampling), with near-nominal worst-case coverage 0.93 at about 1.6× the classical width. It keeps the mean-difference deflation that repairs the actual under-coverage while treating the scale at its point estimate; the over-covering numerator and the under-covering plugged-in scale roughly cancel to near nominal. Guaranteed floor — a Bonferroni combination of the T_BB-inverted mean-difference interval with a distribution-free bootstrap scale interval, carrying a proved finite-sample coverage floor (worst-case 0.97) at about 4× the classical width. What the deposit contains Manuscript (author + anonymized markdown; built .docx/.pdf, including a cross-reference–hyperlinked variant) and the derivations (D1–D6): the estimand and its d_av scale; the T_BB-inverted mean-difference interval; the exact Bonferroni coverage floor of the ratio interval; why the classical standard error under-covers off its normal/equal-variance premise; the deterministic-simulation confirmation; and the calibrated middle tier with its compensation argument. Reproducibility runner — rerun/rc_m01te_coverage.py computes, for each design cell across the parent-distribution × sample-size × variance-ratio × effect grid, the realized coverage and mean width of all four intervals (classical, percentile-bootstrap, calibrated middle, guaranteed floor). Every number regenerates from this deterministically-seeded script (seed 20260826); its locked output CSV is deposited. Figure — figures/m01te_coverage.png (built by make_m01te_figure.py): the four coverage curves cell by cell across the grid, the classical and bootstrap curves sliding below nominal at the corner, the calibrated curve tracking near it, and the guaranteed curve holding above it. All evaluation is simulation-based. Code is released under the MIT License; text and figures under CC BY 4.0. How to cite Please cite this deposit if you use the package or the method. Citing the concept DOI references the work in general and always resolves to the latest version; cite a specific version DOI to point at an exact snapshot. Dwyer, W. J. (2026). A guaranteed-coverage confidence interval for the two-sample standardized effect: reproducibility deposit (Version 1.0.0) [Software]. Zenodo. https://doi.org/10.5281/zenodo.22114522
William Dwyer· Zenodo (CERN European Organi...· 0 citations
Modern software systems rely on observability infrastructure (metrics, logs, and traces) to detect failures and maintain reliability. In practice, key observability decisions are made through untested defaults: static alerting thresholds, keyword-based log-level selection, and monitoring feature sets chosen by convention rather than evaluation. Despite growing interest in AIOps, no prior study has directly measured the gap between these default rule-based practices and machine learning across both anomaly detection and logging decisions. We present a two-part empirical study quantifying this gap. In Part A, we evaluate static-threshold baselines (𝜇 ± 3𝜎) against per-KPI machine learning models on the AIOps 2018 benchmark, which comprises 2.67 million labelled data points. ML models outperformed the static threshold on 91% of evaluable KPIs, though absolute performance varied widely (mean F1 = 0.41, median = 0.116), and an ablation study showed that 53% of monitoring features could be removed without degrading detection. SHAP analysis confirmed that no universal feature ranking exists across KPIs. In Part B, we mine 15,702 log statements from 15 open-source Node.js/TypeScript repositories and train classifiers to predict developer-chosen log levels from code context. The model achieves cross-project macro F1 of 0.92 when surrounding code (including existing log statements) is available, compared to 0.38 for a keyword heuristic. However, a level-name-stripped ablation reveals this drops to 0.52 without neighbouring log-level tokens, showing the dominant signal is inter-statement level clustering rather than deeper code-structural patterns. This clustering generalises across 15 independent codebases and 3 unseen test repositories. Our results demonstrate that default observability practices leave substantial performance on the table, while identifying boundary conditions where simple rules remain competitive.
Ivy Murage· Zenodo (CERN European Organi...· 0 citations
The real part 1/2 occurs in the theory of the Riemann zeta function as the symmetry axis of its non-trivial zeros. This monograph asks a narrower question than the Riemann Hypothesis itself: can the distinguished role of the half-axis be explained by a common structural mechanism joining binary complementarity, information balance, two-channel interference, spinorial phase, and the anti-linear symmetry of the completed zeta function? The exact part of the programme is developed first. Binary Shannon entropy has its unique maximum at σ = 1/2, with value ln 2. A normalized equal-gain two-channel amplitude A(σ, ϕ) = √ σ + e iϕ√ 1 − σ vanishes if and only if σ = 1/2 and ϕ ≡ π (mod 2π). The involution J (s) = 1 − s has fixed set ℜs = 1/2. If the spinorial sign is parameterized by e 2πiσ, then the sign −1 also selects σ = 1/2 in the open unit interval. These statements combine into an exact “triple coincidence” theorem inside the explicitly defined binary-spinor model. A non-metaphorical bridge to zeta theory is provided by the Dirichlet eta function, η(s) = X n≥1 (−1)n−1n −s = (1 − 2 1−s )ζ(s), with η(1) = ln 2. Within the open critical strip, the eta and zeta zero sets coincide because the binary prefactor has no zeros there. This establishes a genuine relation among alternating binary sign, ln 2, and the non-trivial zeta zeros. It does not determine the horizontal location of those zeros. The central conditional theorem is then stated. If there exists a canonical, involution- covariant Hilbert-space state map whose fixed readout vanishes exactly with ξ(s) and whose normalized channel weights are ℜs and 1 − ℜs, then every non-trivial zero lies on ℜs = 1/2. The theorem is short; the construction of such a map is the entire unresolved burden. Several tempting shortcuts are shown to fail: symmetry alone produces zero quartets rather than fixed points, eta alternation adds a separate line of prefactor zeros, unequal channel metrics move the balance point away from one half, and a pointwise normalized factorization can be engineered non-canonically. The monograph closes by formulating operator, positivity-kernel, de Branges, Li-coefficient, and theta-kernel routes as concrete research programmes. Numerical calculations are used only as regression tests for identities and software, never as substitutes for proof.
Adrian Lipa· Zenodo (CERN European Organi...· 0 citations
Sparse departures from independence in two-way tables: a heteroscedasticity profile and detection boundary, an adaptive higher-criticism gate, and an assumption-lean exact anchor William J. Dwyer, MD, MPH, FAAP — Department of Mathematics and Statistics, University of Massachusetts Lowell. ORCID 0009-0004-0855-7222. Concept DOI (always resolves to the latest version): 10.5281/zenodo.21844797. Published v1.0.0:10.5281/zenodo.21844798. What this is The reproducibility deposit for a single combined manuscript on detecting sparse departures from independence in a two-way contingency table — the regime where dependence hides in a few cells rather than spreading across the table, so the omnibus chi-square is under-powered and a naive per-cell scan mis-calibrates. It is organized in three parts under one set of front/back matter, with a shared derivations supplement (D02): Part I — the heteroscedasticity profile and the detection boundary. The per-cell standardized deviations are heteroscedastic under the margin-conditional null; profiling that heteroscedasticity gives a closed-form detection boundary separating the sparsity/strength regimes where any test can succeed from those where none can. Part II — an adaptive higher-criticism gate. A higher-criticism statistic tuned to the margin-conditional cell law attains that boundary, with its exact null law and power characterized. Part III — an assumption-lean exact anchor and reporting apparatus. An exact margin-conditional calibration anchor and a routing rule, so a scan that mis-sizes under the asymptotic reference is replaced by one that holds its level: on a corpus of 5,543 real tables the asymptotic per-cell scan mis-sizes about two-thirds of them (mean realized size ≈ 0.33 against a 0.05 target) while the exact anchor holds near 0.01. What the deposit contains Combined manuscript (manuscripts/Dwyer_M02_Combined.{docx,pdf} + M02_Combined_Manuscript.md) and the three part-sources (manuscripts/parts/, provenance for the assembled combined text), plus the D02 derivations companion (derivations/). Verification and study code (code/) — the boundary, exact-anchor, and higher-criticism verification scripts and the power/size study drivers (numpy/scipy, fixed seeds); the docx builder (build_docx.py), the shared math-typography core (mseries_mathtype.py), the inline- and caption-math delimiters, the combined assembler (assemble_combined.py), and the audit gates (structure_audit.py, math_render_audit.py). Locked data (data/) — the study outputs (size/power, boundary, estimated-margins, efficiency) and the higher-replication "big box" runs, so every number regenerates. Figures (figures/), the novelty reviews (novelty_reviews/), the prior-art / adversarial / consistency audits (audits/), and the in-browser detector tools/honest_detection.html. All evaluation is simulation-based; the one empirical component is the public-corpus calibration scan, which uses only openly distributed contingency tables. Code is released under the MIT License; text, figures, and data under CC BY 4.0. How to cite Please cite this deposit if you use the package or the method. Citing the concept DOI references the work in general and always resolves to the latest version; cite a specific version DOI to point at an exact snapshot. Dwyer, W. J. (2026). Sparse departures from independence in two-way tables: a heteroscedasticity profile and detection boundary, an adaptive higher-criticism gate, and an assumption-lean exact anchor — reproducibility deposit [Software]. Zenodo. https://doi.org/10.5281/zenodo.21844797 BibTeX: bibtex @software{dwyer_m02_2026, author = {Dwyer, William J.}, title = {Sparse departures from independence in two-way tables: a heteroscedasticity profile and detection boundary, an adaptive higher-criticism gate, and an assumption-lean exact anchor --- reproducibility deposit}, year = {2026}, publisher = {Zenodo}, doi = {10.5281/zenodo.21844797}, url = {https://doi.org/10.5281/zenodo.21844797}, orcid = {0009-0004-0855-7222} } The DOI above is the concept DOI (resolves to the latest version); to cite a specific release use that version's DOI in place of it (e.g. 10.5281/zenodo.21844798 for v1.0.0). When the accompanying journal article appears, please cite it as the primary reference for the method and this deposit as the reproducibility archive. Version history v1.0.3 — deterministic recut (2026-08-30): the bundle is now cut with the shared mseries_deposit.write_deterministic_zip, so rebuilding the same content yields a byte-identical zip and a stable md5. Every manuscript, derivation, figure, dataset, code file, novelty review, and audit is byte-identical to v1.0.2 (all files SHA-256-matched except the three version-stamped ones). No number, theorem, table, figure, or dataset changed. Publishes as a New Version on concept 10.5281/zenodo.21844797 (build_m02_deposit.py; md5 8f2fa9f7e814ba807710480a7f60cb65, 112 files, 6,044,685 bytes). v1.0.2 — impact-first reframe (2026-08-23): the introduction and abstract reframed to lead with the applied motivation (sparse independence departures in genomics, network/text co-occurrence, pharmacovigilance, ecology, survey cross-tabulation) and the corpus calibration failure, before the detection-boundary theory. No number, theorem, figure, or dataset changed. v1.0.1 — published (2026-08-08): adds the Zenodo concept DOI to the manuscript Availability statement and CITATION.cff, and the widened Figure 8 top box. Content otherwise identical to v1.0.0. v1.0.0 ✅ 10.5281/zenodo.21844798 — first published deposit: the combined three-part manuscript, the D02 derivations, the verification and study code with fixed seeds and locked outputs, all figures, the in-browser detector, and the prior-art / adversarial / consistency audits. Provenance: every number traces to a named, deterministically-seeded script under code/; the combined manuscript is assembled by code/assemble_combined.py and built by code/build_docx.py. Related identifiers: T_root methodology 10.5281/zenodo.21522471; exact conditional engine 10.5281/zenodo.21831680.
William Dwyer· Zenodo (CERN European Organi...· 0 citations
Reproducibility package for the interval-estimate paper of the contingency-table effect-size arc, the companion to the point-estimate paper M0f. It regenerates every result behind the exact conditional confidence interval for phi^2 (and Cramer's V): the pre-registered Berger-Boos simulation (C1 passed, C2 and C3 failed) frozen before the run; the post-registration exact conditional (mid-p) interval that turns the two failures into a positive result; its characteristic-function / cosine (CF/COS) extension to larger and denser tables; the certified 2x2 coverage floor; the exact conditional median-unbiased point estimate (the fold) that resolves the residual; the shape-by-effect factorial decomposition of the small-effect coverage dip into its additive mechanisms (mid-p atom, estimand gap, discreteness residual); and the direct exact-coverage sweeps. Includes the manuscript and Additional File 1 (docx + pdf), all figures and their black-and-white-safe generators, the derivation companions, the pre-registration, a prior-art audit, the shared estimator/interval code with its exact dynamic-programming tail engines (verified to ~3e-15), and a null-coverage regression self-test. Every reported number regenerates under recorded seeds; runs are staged, resumable, and memory-capped. MIT License for code; CC BY 4.0 for documents and data.
William Dwyer· Zenodo (CERN European Organi...· 0 citations
This public reproducibility package accompanies the manuscript “Decision Robustness to Bibliographic Metadata Loss in Automated Research Evaluation: A Paired External Evaluation Study.” The study used a 1,031-record development benchmark and a frozen 1,240-record external evaluation set comprising 900 controls and 340 positives. The archive contains locked study configurations, source and freeze manifests, dataset hashes, non-identifying aggregate result tables, perturbation and analysis code, numerical-audit and supplementary-table code, the frozen rule-engine implementation, software environment specifications, and programmatically generated figures. The complete internal test suite passed 18 of 18 tests, the EV1 data gate passed all prespecified checks, and the manuscript and supplement were numerically consistent with the locked aggregate results. Record-level bibliographic metadata, labels, provenance fields, per-record predictions, adjudication materials, API caches, and LLM response caches are excluded pending licensing and reputational-safeguard review. The public package supports verification of the reported denominators, aggregate results, principal conclusions, and all six figures. A complete record-level refit requires separately governed assets identified by the hashes preserved in this archive.
Vu Minh Tue Phan, Gia Nhu Nguyen, van son Phan· Zenodo (CERN European Organi...· 0 citations
v.3.0.0 This release provides the reproducibility package supporting the manuscript: Sequence sensitivity varies across Implicit Association Tests and participant groups: a cross-domain analysis of Project Implicit archives Included cross-domain sequence-sensitivity analyses for 12 Project Implicit IAT domains in 2019; cross-year replication analyses for nine overlapping domains in 2021; subgroup heterogeneity analyses across demographic and archival groups; equal-sequence and sequence-allocation analyses; finite-sample resampling analyses; orientation and score-direction validation across all included domain-year datasets; final evidential audit and machine-readable audit tables; publication figures and compact manuscript-facing outputs. Main reproducibility additions analysis_cross_domain_sequence_sensitivity/ cross-domain and cross-year gamma estimates; subgroup gamma comparisons; allocation and standardization summaries; finite-sample results; final domain-year orientation validation; final subgroup heterogeneity magnitude summaries. Data Raw Project Implicit data and participant-level derived data are not redistributed. Public source archives and dataset-specific provenance are documented in the repository and supporting materials. License Analysis software is released under the MIT License. Source datasets remain governed by their original repository terms.
Felipe de Oliveira Matos, Marlos Andrade de Lima, Cristian Zanon et al.· Open MIND· 0 citations
A USAF cadet and a Lincoln Laboratory researcher found AI chatbots can help nontechnical service members produce viable software applications for their unique problems.
