This software package contains the analysis code supporting the study “Predicting radiation esophagitis after lung cancer radiotherapy using dose-volume, radiomic and dosiomic features: an external validation study”. It includes DICOM data quality control and preprocessing, ROI-specific feature extraction, direct elastic-net logistic regression, nested cross-validation, frozen external validation, paired DeLong tests, stratified bootstrap confidence intervals, calibration analysis and decision-curve analysis. Patient-level clinical data, DICOM files, patient identifiers and model prediction files are not included. The software is released under the BSD 3-Clause License.
Libin Liu· Zenodo (CERN European Organi...· 0 citations
This record contains the final Supplementary Data workbook and reproducibility resources supporting the manuscript “5-Methoxytryptophan treatment is associated with behavioral, peripheral serotonin-immune, and central serotonin transporter availability patterns in a rat inflammatory pain model.” The study evaluated 5-methoxytryptophan in male Wistar rats with complete Freund’s adjuvant-induced inflammatory pain. The workbook contains RNA-seq sample metadata and a gene-symbol-collapsed count-like matrix from an RBC-lysed peripheral blood leukocyte fraction (n = 2 per group per time point; 22 samples in total); differential-expression, gene-set-enrichment, module-score, detectability, directional-opposition, and gene-membership tables supporting Figures 2–5; animal-level mechanical-threshold, paw-thickness, forced-swim, and sucrose-preference data, summaries, and statistical outputs supporting Figure 6; animal-level cross-sectional 4-[18F]-ADAM SERT-specific uptake-ratio values, summaries, pointwise statistics, CFA-to-Sham reference-scale estimates, and group-summary tables supporting Figure 7; and a sheet index, column dictionary, and software-version information. The accompanying archive contains the final Figure 2–7 generation scripts, required analysis input files, and R session-information records. The RNA-seq samples represent a mixed RBC-lysed peripheral blood leukocyte fraction, and the workbook therefore uses leukocyte-fraction and composition-sensitive terminology. PET observations at Days 14, 21, and 28 are independent cross-sectional measurements. Figure 7E contains dose-by-time group summaries and does not report a correlation or inferential test. Transcriptomic, behavioral, and imaging data are presented as parallel study components. Version 2.0.0 aligns the files with the final revised manuscript, including specimen terminology, figure-panel mappings, worksheet and column labels, data dictionaries, software information, derived/statistical source tables, and portable Figure 2–7 scripts. Raw sequencing reads are not included. This standalone release consolidates the final Supplementary Data workbook and Figure 2–7 reproducibility resources for citation with the revised manuscript.
Yi‐Lin Chiu· Zenodo (CERN European Organi...· 0 citations
Cyber threats are no longer limited to large enterprises; small businesses, startups, and growing companies are increasingly exposed to phishing, ransomware, data theft, and application vulnerabilities. Choosing the right Cyber security company in Bangalore can help organizations identify these risks before they become expensive incidents, while working with a reliable Cyber security company in Bangalore can also provide a structured approach to protecting applications, networks, devices, and sensitive business information. As companies continue moving their operations online, cybersecurity has become an essential part of maintaining business continuity and customer trust. Why Businesses Need Professional Cybersecurity Support Many organizations invest in firewalls, antivirus software, and cloud security tools but still overlook weaknesses in their applications and internal processes. Technology alone cannot identify every security gap. 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For example, a Digital Marketing agency in Bangalore may manage websites, analytics platforms, advertising accounts, and customer data for multiple clients. If these systems are not properly secured, a single compromised account can create significant operational and reputational problems. Security testing should therefore be treated as an ongoing process rather than a one-time activity. Regular assessments can help organizations detect newly introduced vulnerabilities as applications, infrastructure, and business processes change. Making Security a Continuous Business Practice A strong cybersecurity strategy begins with understanding what needs protection. Companies should identify critical applications, sensitive information, external-facing systems, and third-party integrations. Once these assets are mapped, security teams can establish testing priorities. Regular VAPT assessments, employee awareness programs, access-control reviews, patch management, and incident-response planning can collectively improve an organization's security posture. Cybersecurity does not require a business to eliminate every possible risk. The more realistic objective is to understand important risks early, reduce unnecessary exposure, and create a clear response process when something goes wrong. FAQs 1. What does a cybersecurity company do? A cybersecurity company helps organizations identify and reduce security risks through services such as vulnerability assessments, penetration testing, security audits, and application security testing. 2. What is VAPT? VAPT stands for Vulnerability Assessment and Penetration Testing. It combines vulnerability identification with controlled security testing to determine which weaknesses may present meaningful risks. 3. Why are penetration testing services important? Penetration testing services help organizations understand whether identified vulnerabilities could potentially be exploited by an attacker under an authorized testing scenario. 4. How often should businesses conduct security testing? The frequency depends on the organization, its risk profile, technology stack, and regulatory requirements. Testing is particularly important after major application, infrastructure, or architectural changes. 5. Is cybersecurity important for small businesses? Yes. Small businesses can hold valuable customer and financial information while sometimes having fewer security resources, making proactive security practices important.
Avi543k, Avi543k· Zenodo (CERN European Organi...· 0 citations
“Originally published in IJPPR Human Journals”. ABSTRACT The Pharmaceutical Industry is changing. Products & data in the Pharmaceutical Industry are becoming more Complex. Software Products can help with all these factors. Software Programs helps to control and manage these factors. Software means program that tell computers what to do. It’s a bunch of code in a language that the computer can understand. This process is known as compilation. Software saves time by keeping records and calculations. Software is used for different tasks in the Pharmaceutical Industry. Software is used for tracking Tablets, Quality Control test Results, Regulatory Compliance, Marketing Sales data and Clinical Trial Management. Sometimes one Software Program Is Enough while Sometimes Many Software Programs are used in Combination. In this Industry, Various Types of Software are used in different areas and many Companies have a great variety of Software Packages. As we have implemented Good Manufacturing Practices, Good Laboratory Practices and the use of Software has decreased slightly since Good Manufacturing Practices, Good Laboratory Practices, but seems as little. Keywords: Pharmaceutical Software, Pharmaceutical Industry, Current Good Manufacturing Practices (cGMP), Computer System Software, Recent Software, Pharmacy Industry.
Mohd Shahrukh Shaikh Mansoori*1, Mr. Sujeet Pratap Singh2, Mr. Pramod Mishra3, Dr. Tarkeshwar Prasad Shukla4· Zenodo (CERN European Organi...· 0 citations
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This qualitative study explores the dynamics and problems inherent in the design process within a South African secondary school context, focusing on how creativity can be recognised, motivated, and effectively developed. Using purposive sampling, four schools representing diverse socio-economic contexts were selected. A total of four design teachers and twenty process books with products from volunteering design learners in Grade 10 to 11 were selected. Data were collected through two primary strategies: Semi-structured interviews with the four design teachers and analysis of learners’ process books and practical products. to explore the teacher’s understanding and learner’s application of the design process and creativity. All interviews were audio-recorded with permission and transcribed for analysis using Turboscribe. The interview schedule included questions regarding how the design process is presented to learners, how teachers interpret and assess creativity, and what challenges they experience in implementing the CAPS design process in practice. In addition to the interviews, Grade 10 and 11 design learners’ process books and final PAT products were collected, photographed, documented, and analysed. These artefacts offer tangible evidence of the learners’ engagement with the creative process and reflect the different stages they followed from initial conception to execution. A thematic analysis approach was applied to the interview transcripts and the video recordings of learners’ process books to identify, analyse and interpret key patterns and themes. In addition, visual analysis was applied to assess learners’ creativity by examining the visual evidence captured in their design process books and final products. This approach involved a five-phase process: Phase 1: Coding the interview transcripts and the process book data using Atlas.ti, a qualitative analysis software used to manage and structure large datasets. Phase 2: Analysing the coded data in Excel for emerging patterns. Phase 3: Analysing learners’ final design products and awarded marks. Phase 4: Evaluating creativity using Williams’s taxonomy. Phase 5: Interpreting the findings in relation to the research questions. The findings are organised thematically and address the following two research questions: Firstly, how do teachers understand and implement the design process to promote creativity in the FET phase? Secondly, to what extent do learners demonstrate creativity in their practical design work according to Williams’s taxonomy? Analysis revealed that learners often lack understanding, show low engagement, and depend heavily on teacher guidance. They also struggle with divergent and convergent thinking skills, and fundamental stages, such as research, prototyping, and testing, were absent. This study highlights the need for a shift in how the design process is approached in education. While current practices follow a rigid, linear model, fostering creativity requires a more flexible, learner-centered approach. Integrating the design thinking framework and Williams’s taxonomy offers a promising path forward, encouraging empathy, iteration, and imaginative thinking.
Anna van der Merwe· University of Pretoria· 0 citations
This work develops a self-contained algebraic framework based on the hybrid group operator a ⊕_γ b = a + b + γ ab, defined simultaneously on real vector spaces and prime fields. We establish the face-operation calculus (M, A, D, E faces), prove the dual-derivative power theorem which gives an exact additive-to-multiplicative homomorphism across characteristics, and present two rigidity lemmas that characterize when a one-dimensional operation is forced to be ⊕_γ. A single-query recovery proposition shows that parameter hiding is ineffective against an operation oracle but can be effective against a decision-only interface, which forms the design principle of the accompanying software loader. The discrete logarithm problem on the hybrid group is shown to be exactly equivalent to the classical discrete logarithm in 𝔽_p^×, providing an honest security boundary. We then introduce Algebraic Residual Iteration (ARI), a gradient-free, closed-form learning algorithm that achieves millisecond convergence with multiplicative pyramid expansions; DeepTower is included as a specialisation using the σ_λ spectrum. The SAGA byte-level aggregation provides integrity folding for code protection. Finally, we specify HGP-Loader v5 (payload decryption mode) and v6 (fully-resident interpretation mode), where business logic never materialises as native instructions. Validation includes 16/16 tests (correctness, avalanche, RAW-face non-collapse, instance diversity, static residency) and performance measurements showing ~159% end-to-end overhead—dramatically lower than typical VM-based protectors. A reverse-engineering case study confirms that while algebraic parameters can be recovered, the key itself remains protected by the data-dependent walk and verdict-as-decryption architecture.
Juncai Zhou· Zenodo (CERN European Organi...· 0 citations
English Dataset and software · bilingual Bulgarian/English release The Cosmological Constructor is an audit-ready dataset and software release centred on append-only, typed scientific memory. The historical FITS files are never used as parents of the new chain and are never rewritten. Their contents are migrated into active semantic memory, while byte-exact snapshots remain available only as immutable provenance evidence. The source history contains 120 append-only FITS states with 274,180 table-row occurrences across 37 table schemas. The active migration stores 94,229 unique typed row values as standard SEMANTIC_OBJECTS. Identical typed values are stored once, but every original occurrence remains addressable by its exact [source sequence, HDU index, row index] position. ASCII, logical and integer cells are explicitly typed; floating-point cells retain their original IEEE-754 bit patterns. No averaging, sampling, binning or numerical rounding is introduced by the migration. The canonical FITS memory consists of nine SHA-256-linked commits. Commits 000002 and 000006 preserve the 120 historical files as byte-exact provenance snapshots. Commits 000007 and 000008 contain the active typed-value migration. The complete typed memory contains 47 action records, 218 layered-memory records, 94,385 semantic objects, 39 conclusions, 102 evidence paths, four cycle summaries and 449 lineage edges. Integrity and reproducibility all 120 source files pass FITS CHECKSUM/DATASUM and source-chain validation; all 274,180 source occurrences match the active typed representation; typed-value verdict: ALL_TYPED_VALUES_AND_OCCURRENCES_EXACT; file-chain verdict: CHAIN_INTEGRITY_OK; JSONL-to-FITS verdict: FULL_JSONL_FITS_OBJECT_EQUIVALENCE_OK; repeating either migration is idempotent and creates no additional commit; the focused FITS, universal-ingest, constant-frame-rate A/V and variable-frame-rate A/V tests pass; all eight runtime modules complete without exceptions, and repeated runtime evidence is byte-identical. Scientific and epistemic scope This revision changes storage, migration, consistency and provenance enforcement; it does not change the physical model, scientific equations, declared thresholds or numerical-precision rules. The machine contract remains fail-closed and additive. Results produced in the supplied runtime are labelled SELF_VALIDATED, INTERNAL_SELF_VALIDATED or INTERNAL_HELDOUT_SELF_VALIDATED. No result is presented as externally VALIDATED; that status requires a genuinely independent source and execution. Package contents 01_CURRENT_SOURCE/ — executable source, migration tools and focused tests; 02_DATA_INPUT/ — frozen, explicitly identified runtime input; 03_MEMORY/ — action ledger, layered semantic memory, cycle history and the nine-commit typed FITS chain; 04_RUNTIME_EVIDENCE/ — deterministic reports and auxiliary ledgers; 09_PROVENANCE_EVIDENCE/ — integrity report and quarantined/superseded artifacts; the release manifest and SHA256SUMS.txt — canonical inventory, sizes and hashes. Verify the downloaded release with sha256sum -c SHA256SUMS.txt. Python requires NumPy, Astropy and mpmath; the audio/video focused tests additionally require FFmpeg. Source-specific provenance and licensing notes remain part of the release documentation. Български Данни и софтуер · двуезично издание на български и английски Космологичният конструктор е одитируемо издание на данни и софтуер, изградено около append-only типизирана научна памет. Историческите FITS файлове никога не са родители на новата верига и никога не се презаписват. Съдържанието им е мигрирано в активната семантична памет, а byte-exact snapshots са запазени единствено като неизменимо доказателство за произхода. Изходната история съдържа 120 append-only FITS състояния с 274 180 срещания на таблични редове в 37 таблични схеми. Активната миграция съхранява 94 229 уникални типизирани стойности на редове като стандартни SEMANTIC_OBJECTS. Еднаквите типизирани стойности се пазят веднъж, но всяко първоначално срещане остава адресируемо чрез точната позиция [пореден номер на източника, HDU индекс, индекс на реда]. ASCII, логическите и целочислените клетки са изрично типизирани; клетките с плаваща запетая пазят първоначалните си IEEE-754 битове. Миграцията не въвежда усредняване, sampling, binning или числово закръгляне. Каноничната FITS памет се състои от девет SHA-256-свързани commits. Commits 000002 и 000006 пазят 120-те исторически файла като byte-exact provenance snapshots. Commits 000007 и 000008 съдържат активната миграция на типизираните стойности. Пълната типизирана памет съдържа 47 action записа, 218 layered-memory записа, 94 385 семантични обекта, 39 заключения, 102 доказателствени пътя, четири cycle summaries и 449 lineage връзки. Цялост и възпроизводимост всичките 120 изходни файла преминават FITS CHECKSUM/DATASUM и проверката на изходната верига; всичките 274 180 изходни срещания съвпадат с активното типизирано представяне; присъда за типизираните стойности: ALL_TYPED_VALUES_AND_OCCURRENCES_EXACT; присъда за файловата верига: CHAIN_INTEGRITY_OK; присъда за JSONL-to-FITS: FULL_JSONL_FITS_OBJECT_EQUIVALENCE_OK; повторното изпълнение на всяка миграция е идемпотентно и не създава допълнителен commit; focused тестовете за FITS, universal ingest, constant-frame-rate A/V и variable-frame-rate A/V преминават; всичките осем runtime модула завършват без изключения, а повторните runtime evidence файлове са byte-identical. Научен и епистемичен обхват Тази ревизия променя съхранението, миграцията, консистентността и контрола на произхода; тя не променя физическия модел, научните уравнения, обявените прагове или правилата за числова точност. Машинният договор остава fail-closed и additive. Резултатите от приложения runtime са означени като SELF_VALIDATED, INTERNAL_SELF_VALIDATED или INTERNAL_HELDOUT_SELF_VALIDATED. Нито един резултат не е представен като външно VALIDATED; този статус изисква действително независим източник и независимо изпълнение. Съдържание на пакета 01_CURRENT_SOURCE/ — изпълним source, инструменти за миграция и focused тестове; 02_DATA_INPUT/ — замразен и еднозначно идентифициран runtime вход; 03_MEMORY/ — action ledger, layered semantic memory, cycle history и деветкомитова typed FITS верига; 04_RUNTIME_EVIDENCE/ — детерминистични отчети и помощни ledgers; 09_PROVENANCE_EVIDENCE/ — integrity report и карантинни/заменени артефакти; manifest файлът на изданието и SHA256SUMS.txt — каноничен опис, размери и хешове. Проверката на сваленото издание се изпълнява с sha256sum -c SHA256SUMS.txt. Python средата изисква NumPy, Astropy и mpmath; focused тестовете за аудио и видео изискват допълнително FFmpeg. Бележките за произхода и лицензите на отделните източници остават част от документацията на изданието.
Станислав Панайотов· Zenodo (CERN European Organi...· 0 citations
The trace-gamma distribution: a three-cumulant calibrated reference for quadratic-form tests, with Welch's F and Pearson's χ² as special cases 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.22060095. Published v1.0.13:10.5281/zenodo.22143061. What this is The reproducibility deposit for the trace-gamma paper. Many everyday tests are quadratic forms in approximately-normal estimates — Welch's heteroscedastic F, Pearson's χ² of independence, score and Wald statistics — and their exact null is a generalized chi-square (a weighted mix of χ²'s) that software almost always replaces with a one- or two-moment approximation. Those approximations miscalibrate exactly where it matters: few groups, unequal variances, sparse or skewed data. The paper introduces the trace-gamma distribution, a three-cumulant calibrated reference built from the quadratic form's own mean, variance, and third cumulant via the Lancaster cumulant-trace identity, and shows that Welch's F and Pearson's χ² fall out as special cases. It matches the exact Imhof (1961) inversion across a wide design grid, carries an estimable non-Gaussian cumulant correction, and — deployed as a test reference — is a deflation of the naive two-moment call (its rejection region is a strict subset, so a significant result can only be withdrawn, never manufactured; no reverse flip is possible). What the deposit contains Manuscript (author + anonymized; built .docx/.pdf), the novelty / prior-art companion, and the long-form derivations companion (D1–D8, proof-complete: the generalized-chi-square null, the Lancaster cumulant-trace identity, the trace-gamma parameterization, and the arguments behind Propositions 1–6). Reproducibility apparatus — the distribution object mseries_qgamma.py (TraceGamma, constructors from cumulants), the four cross-checks validate_qgamma.py, the base experiments qgamma_experiments.py (V1–V3), the estimable cumulant correction, the exact Imhof-inversion cross-check qgamma_imhof.py, the wider design grid (group size × imbalance × input shape), and the deployed stress grid — each with its locked CSV. Every reported number regenerates from these deterministically-seeded scripts. Figures — the accuracy panels, the cumulant-correction figure, the design-grid and stress-grid figures, and the Imhof cross-check. Interactive demonstrator honest_tracegamma.html — computes the two-cumulant-vs-trace-gamma verdict flip and its population incidence in the browser, reproduces the deposited Python, and carries the house flip-interpretation standard (deflation marker, "how to read a flip" beat, incidence panel, assertNoReverse). Deep-dive record and the submission apparatus. All evaluation is simulation-based with an exact-inversion cross-check. 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). The trace-gamma distribution: a three-cumulant calibrated reference for quadratic-form tests — reproducibility deposit [Software]. Zenodo. https://doi.org/10.5281/zenodo.22060095 BibTeX: bibtex @software{dwyer_tracegamma_2026, author = {Dwyer, William J.}, title = {The trace-gamma distribution: a three-cumulant calibrated reference for quadratic-form tests --- reproducibility deposit}, year = {2026}, publisher = {Zenodo}, doi = {10.5281/zenodo.22060095}, url = {https://doi.org/10.5281/zenodo.22060095}, 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.22143061 for v1.0.13). 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 v1.0.14 — ✅ 10.5281/zenodo.22187379 (2026-08-31) staged (pending upload): rendering-only refresh — the manuscript and Derivations Companion docx/PDF rebuilt through the current math-typography builder so nested-paren radicals draw as true Office-math radicals; the deposit now also carries the current shared house tooling (the bundled mseries_deposit.py includes the require_all deposit guard). No number, figure, table, or claim changed; the 71 in-text cross-reference links are intact. New version on concept 10.5281/zenodo.22060095 (tracegamma_reproducibility_v1.0.14.zip, md5 6f6a0e5c1e29d6cd3fa34008458666f0, 9,937,855 B, 59 files). v1.0.13 — ✅ 10.5281/zenodo.22143061 (2026-08-28). v1.0.12 — ✅ 10.5281/zenodo.22142142 (2026-08-28): two companion documents added — the novelty/prior-art review and the full-detail D1–D8 derivations ladder; §6 now points to the derivations companion; body unchanged. v1.0.11 — ✅ 10.5281/zenodo.22132594 (2026-08-27): cover letter brought to the house standard; first fully deterministic (byte-reproducible) deposit. v1.0.10 — ✅ 10.5281/zenodo.22125099 (2026-08-27): restored the in-text cross-reference hyperlinks in the Word/PDF. v1.0.0 — first deposit (10.5281/zenodo.22060096; concept 10.5281/zenodo.22060095): the trace-gamma distribution object, the Imhof cross-check, the design grid, and the honest_tracegamma.html demonstrator. Provenance: every number traces to a named, deterministically-seeded script and is cross-checked against the exact Imhof (1961) inversion; the demonstrator reproduces the deposited Python. Related records: the T_root methodology 10.5281/zenodo.21522471; the ANOVA sibling m01A 10.5281/zenodo.21908169.
William Dwyer· Zenodo (CERN European Organi...· 0 citations
A guaranteed-level repair for Welch's two-sample t, which silently over-rejects under skew, heteroscedasticity, and small samples 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.22036361. Published v1.4.3:10.5281/zenodo.22104110. What this is The reproducibility deposit for the m01t paper — the two-sample companion to the guaranteed-level ANOVA work (m01A/m01x). Welch's two-sample t is the field default for comparing two means under unequal variances, but at the corner where the data are skewed and heteroscedastic and the samples are small it runs liberal: it rejects the null more often than its nominal level allows. A scan of 515 real public-data comparisons finds that about one in three borderline-significant Welch results do not survive a level-guaranteed test — a concrete, real-data measure of the over-rejection. m01t specializes the companion procedure's Berger-Boos deflation to two groups: it deflates the known-variance quadratic by a closed-form radius built from each group's kurtosis-widened variance instability and refers the result to a chi-square. The test holds worst-case size at or below nominal exactly where Welch is liberal; its raw conservatism is the honest cost of the guarantee, and size-adjusted it matches Welch to within about 0.02 in power. The deposit ships the browser demonstrator honest_ttest.html, which computes Welch beside the guaranteed T_BB on your own data and prints the honest receipt — a deflation mechanism (the guaranteed rejection region is a strict subset of Welch's, so a significant call can only ever be withdrawn, never manufactured; no reverse flip is possible). What the deposit contains Manuscript (author + anonymized; built .docx/.pdf), the novelty / prior-art companion, and the derivationscompanion (the two-group Berger-Boos radius, the kurtosis-widening bound, the size proof, and the one-sided variant). Reproducibility apparatus — the simulation runners (the shared-grid scoreboard, the Fleishman skew×kurtosis decomposition grid, the competitor and gate-ablation runners) and the locked result CSVs. Every reported number regenerates from these deterministically-seeded scripts. Figures — the headline, the Welch over-rejection heat map, the validity-versus-power frontier, the method × stress-regime worst-size heat map, the per-method failure map, the kurtosis-axis curve, and the orthogonal-axis decomposition of Welch's realized size. Interactive demonstrator honest_ttest.html — reproduces the deposited Python exactly and carries the house flip-interpretation standard (deflation marker, "how to read a flip" beat, real-data incidence panel, and an assertNoReverseload guard). Deep-dive record (transfer/power-comparison, the 12-cell flip taxonomy with citations, the declarations and reference-block fixes, the decomposition study) and the submission apparatus. All evaluation is simulation-based. 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). A guaranteed-level repair for Welch's two-sample t — reproducibility deposit[Software]. Zenodo. https://doi.org/10.5281/zenodo.22036361 BibTeX: bibtex @software{dwyer_m01t_2026, author = {Dwyer, William J.}, title = {A guaranteed-level repair for Welch's two-sample t --- reproducibility deposit}, year = {2026}, publisher = {Zenodo}, doi = {10.5281/zenodo.22036361}, url = {https://doi.org/10.5281/zenodo.22036361}, 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.22104110 for v1.4.3). 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 v1.4.4 — ✅ 10.5281/zenodo.22187004 (2026-08-31) staged (pending upload): rendering-only refresh — the manuscript and Derivations docx/PDF rebuilt through the current math-typography builder so nested-paren radicals draw as true Office-math radicals; the deposit now also carries the current shared house tooling (the bundled mseries_deposit.py includes the require_all deposit guard). No number, figure, table, or claim changed. New version on concept 10.5281/zenodo.22036361 (m01t_reproducibility_v1.4.4.zip, md5 6e4e09e7dd1a5a747fa1493db94c922d, 3,561,269 B, 73 files). v1.4.3 — ✅ 10.5281/zenodo.22104110 (2026-08-24): arXiv source refreshed; declarations split into separate paragraphs; reference-block one-per-line fix. v1.4.2 — ✅ 10.5281/zenodo.22103410 · v1.4.1 — ✅ 10.5281/zenodo.22102558 · v1.4.0 (2026-08-23): new Figure 8, the orthogonal skew/kurtosis decomposition of Welch's realized size (Fleishman power method; kurtosis alone does not inflate the two-sided size, T_BB holds throughout). v1.3.0 — ✅ 10.5281/zenodo.22054950 (2026-08-22): deposit-scale shared-grid contest fold (40,000 reps, B=699); Table 6 becomes a five-method property scorecard; four contest figures added. v1.1.0 — ✅ 10.5281/zenodo.22036735 (2026-08-21): reviewer- hardening leads folded (held-out-family validity, Monte-Carlo CI on the worst-case size, studentized bootstrap-t and permutation benchmarks, the one-sided T_BB). v1.0.0 — first deposit (concept 10.5281/zenodo.22036361): the guaranteed-level two-group repair, the 515-comparison public-data flip scan, and the honest_ttest.html demonstrator. Provenance: every number traces to a named, deterministically-seeded runner; the demonstrator reproduces the deposited Python (parity self-checked on load). Related records: the one-way ANOVA sibling m01A 10.5281/zenodo.21908169; the moderated-Welch record m01x; the T_root methodology 10.5281/zenodo.21522471.
William Dwyer· Zenodo (CERN European Organi...· 0 citations
Reproducible Nextflow DSL2 pipeline accompanying the manuscript "Pangenomic Evaluation of Host Adaptation and Recombination-Mediated Emergence in Capripoxviruses". Full workflow from read QC through the polarised McDonald-Kreitman test 13 process modules, 5 subworkflows, conda and container profiles, SLURM config Version-pinned software environments matching the published analysis Original analysis scripts preserved verbatim under bin/legacy/ Continuous integration verifies the workflow wiring on every commit Validation targets for a full reproduction run are listed in docs/scripts.md.
Raana Tabashiri, Sajad Rashidi Monfared, Ali Akbar Masoudi· Zenodo (CERN European Organi...· 0 citations
This software release provides the computational workflow developed for lithology-specific reconstruction and evaluation of thermal-conductivity response surfaces in mineral soils. Thermal conductivity is represented as a function of gravimetric water content on a dry-mass basis and measured wet bulk density. These variables are treated as mathematically coupled but nonredundant descriptors of achieved material state. Four lithological groups are analysed separately: sand, silt, clayey soil, and clay. The software implements Support Vector Regression, Generalised Additive Models, Random Forests, and Extreme Gradient Boosting, together with the controlled BASE, SMOOTH, INTERMEDIATE, and TUNED candidate configurations. Measurements mapped to the same material state are aggregated to a single state-level target. Predictive reliability is evaluated using five-fold cross-validation grouped by parent-material group. For TUNED candidates, hyperparameters are selected exclusively within each outer-training subset using three-fold grouped inner cross-validation with RMSE as the optimisation criterion. All fit-dependent preprocessing is restricted to the applicable training folds. After grouped predictive validation, the candidate models are refitted to all available material states of the corresponding lithology for response-surface reconstruction. These full-data fits are used only for surface geometry, model-agreement diagnostics, and response-profile extraction; their predictions do not enter the grouped predictive metrics. Surface interpretation is restricted to the lithology-specific convex hull of the observed material-state domain. Response profiles are extracted as mathematical cross-sections of the fitted surfaces at state-level quartiles. A central component of the release is the Response-Surface Consistency Index (RSCI), a post-hoc, within-lithology relative diagnostic of response-surface geometry. It combines boundedness, smoothness, local extrema, gradient variation, and gradient-sign fragmentation. RSCI complements grouped predictive metrics—R², RMSE, MAE, and MBE—but is not a physical-validity score, an uncertainty measure, or a tuning objective. Its derivative-based components are defined under the adopted physical-coordinate convention and should be interpreted together with predictive performance, observational support, cross-family agreement, and geological–geotechnical reasoning. The archive includes deterministic synthetic demonstration data, input-schema documentation, automated tests, model and tuning configurations, aggregate reference outputs, selected response grids, response-profile data, and frozen publication figures. The final aggregate checkpoints correspond to 2,242 source observations, 703 unique material states, and 235 parent-material groups. Restricted record-level experimental and harmonised datasets, institutional identifiers, parent-material mappings, fold assignments, record-level group-withheld predictions, detailed inner-fold records, and manuscript-trained estimators are not distributed. The archive therefore supports inspection, testing, and execution of the documented workflow on schema-compliant data, but not exact retraining of the reported models without authorised access to the original analysis dataset. Version: 1.1.0Software author: Mateusz ŻeruńCopyright holder: Polish Geological Institute – National Research Institute (PGI-NRI)Licence: MIT
Mateusz Żeruń· Zenodo (CERN European Organi...· 0 citations
Code and frozen result records for rotcert, an angle-aware distribution-free conformal certification method for oriented (rotated) object detection in aerial imagery. rotcert scores oriented detections with a seam-continuous, square-safe Gaussian–Wasserstein distance (GWD) nonconformity measure and issues two certificates: G1, a Mondrian per-class GWD-ball localization certificate with a finite-sample marginal-coverage guarantee, validated out-of-sample over R=20 scene splits; and G2, a Learn-then-Test Hoeffding–Bentkus certified bound on the rotated-IoU false-negative rate that refuses below its power floor rather than emitting a number it cannot support. GWD is consumed as a nonconformity score, not proposed as a new detector loss. The contribution is a reliability-certification protocol for oriented detection, not a new detector. Evidence is frozen and scoped: ten G1 cells across three aerial datasets (DIOR-R, DOTA-v1.0, HRSC2016-MS) and five detector architectures. All 20 DIOR-R classes certify for G1. DOTA overlapping crops are a diagnosed exchangeability stress case, running roughly 1–1.2 points below nominal. Archive contents. The rotcert package and its test suite, the detector and orchestration configs, the DOTA and DIOR-R certificate and inference result trees, the coverage-matched and per-class ablations, the HRSC seed cells, and the Holm-8 analysis records. DATA_MANIFEST.md describes the datasets and their provenance; SECURITY-PATHS.md documents path hygiene. Reassembling the archive. The tarball is deposited in ten 5 MB parts to work around an upload size limit. Concatenate them in order and extract: cat rotcert_zenodo_v0.2.0.tar.gz.part* > rotcert_zenodo_v0.2.0.tar.gz sha256sum rotcert_zenodo_v0.2.0.tar.gz # expected: 7f361f415422bcb892bee5543a752b8aa6abfde335f556aa60d6d8568b629d7c tar -xzf rotcert_zenodo_v0.2.0.tar.gz Changes since 0.1.0. Internal planning and review documents, editorial process notes, and manuscript sources have been removed from the archive; it now contains only the software snapshot and the frozen result records that the manuscript's provenance comments cite. Workstation absolute paths in result provenance fields were replaced with a placeholder, and CITATION.cff is now included. No scientific result record was altered.
Zeyu Fu, Xin Pu, Kuan Yu et al.· Zenodo (CERN European Organi...· 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.
