This record contains the data and R code supporting the article “An energy-based model of soil fragmentation by tillage” by Heller et al. The model predicts tillage-induced soil fragmentation from the applied mechanical energy and the initial soil state, represented by soil water content and initial specific fragment surface area. It partitions tillage energy among three processes: the creation of new fragment surfaces, the displacement of existing fragments and plastic deformation. The model was parameterised and evaluated using literature-derived data from drop-shatter tests and tillage experiments. The included analyses demonstrate the model’s ability to reproduce the texture- and moisture-dependent soil workability range and the diminishing effectiveness of successive tillage operations. Under simplifying assumptions, the predicted fragment surface area can also be translated into fragment-size and inter-fragment pore-size distributions, providing a basis for representing tillage-induced structural changes in agroecosystem models. Repository contents soil_breaking.Rmd: Main analysis used to run the model and reproduce the results and figures presented in the article. Functions/: R functions used by the model and analyses. Input_data/: Input data used for model parameterisation, evaluation and application. Plastic_Limit.Rmd: Supplementary analysis of the soil plastic-limit data published by Keller and Dexter (2012). soil_consolidation.Rmd: Preliminary development of a model describing the collapse of tillage-induced pore space under stress. This component is exploratory and is not part of the published tillage-fragmentation model. The model is implemented in R and primarily uses the tidyverse package for data manipulation and visualisation. Additional package dependencies are declared in soil_breaking.Rmd. Related publication Heller, O., Carminati, A., König, S., Koestel, J., Vogel, H.-J., Weller, U. and Keller, T. An energy-based model of soil fragmentation by tillage. Soil & Tillage Research, 265, 107446.https://doi.org/10.1016/j.still.2026.107446 The current version of the code is also available from the GitLab repository.
Olivier Heller· Zenodo (CERN European Organi...· 0 citations
An Honest Effect Size for Contingency Tables: Why Nothing Can Be Unbiased, Where to Put the Error Instead, and How to Route the Report 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.21783660. What this is The reproducibility deposit for the point-estimate paper of the contingency-table effect-size arc. The everyday workflow reports Cramér's V and reads it against Cohen's labels; that workflow is biased at the null (Jensen's inequality makes an unbiased estimator of the square-root scale impossible) and treats a noisy point as if it were exact. The paper puts the unavoidable error where it belongs and routes the report: a closed-form O(RC) delete-one jackknife for V² that is nearly unbiased everywhere (at most 0.008 across the 180-design grid, 0.013 as a supremum), a projected confidence interval (conservative but asymptotically valid, any R×C) with an exact-conditional companion for tight coverage, a noise-floor verdict (V_{0.95}) that refuses labels a table cannot support, and a single routing rule that selects the reference (by sparsity and margin heterogeneity), the verdict, the point estimate (by purpose), the scale (always V², negatives permitted and meaningful), and the interval (by whether a guarantee is required). What the deposit contains Manuscript — the built article with the house-standard Key-points box, 8 figures, and 12 numbered/captioned tables (every table carrying an APA bold-label/italic caption and a substantive in-text callout), plus a novelty review companion. Derivations — the compressed derivations ladder and the proof-complete long-form Derivations Companion(Dwyer_M0f_Derivations_Companion_LongForm, ~38 pp, D11–D17 written out in full): the φ² non-U-estimability remark (attributed, with its self-correction), the projected interval as the projection principle instantiated, the affine-link uniqueness, the O(RC) closed-form jackknife, the Bergsma-vs-jackknife crossover equation, and the over-dispersion / two-moment interval fix. Interactive demonstrators — honest_point_estimate.html (the m0f effect-size router: computes the naive V, the jackknifed V², the noise-floor verdict, and the routed report in the browser) and honest_interval.html (the m0g guaranteed-interval sibling), both to the house flip-interpretation standard with a per-cell flip-incidence panel and a seeded null-calibration strip. Reproducibility scripts + locked outputs — every reported number traces to a named, deterministically-seeded script (the bias frontier vs Bergsma's prior, the pooling/meta-analysis collapse, the link/affine-scale test, the projected-interval benchmark, the routing grid, and the figure generators), with the analyzable public-table corpus (effect_size_tables_analyzable.csv) and the routing/flip-incidence scans (rerun/taxonomy_flip_incidence.py, taxonomy_grid_sim.py, and the m0g interval scans) included so the embedded numbers are traceable from the deposit. Real-data evidence — across 4,129 public contingency tables the label-vs-noise-floor recalibration runs both ways (615 forward / 450 reverse); the guaranteed-interval sibling withdraws a claimed resolution on 312 of 2,391 tables (13%, near-pure one-directional deflation). Figures and the deterministic deposit build (fixed timestamps → stable md5; a SHA-256 MANIFEST.txt listing every file). All evaluation is simulation-based; the one empirical component is the public-table scan, which uses only openly distributed data. 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). An Honest Effect Size for Contingency Tables: Why Nothing Can Be Unbiased, Where to Put the Error Instead, and How to Route the Report — reproducibility deposit [Software]. Zenodo.https://doi.org/10.5281/zenodo.21783660 BibTeX: bibtex @software{dwyer_m0f_2026, author = {Dwyer, William J.}, title = {An Honest Effect Size for Contingency Tables: Why Nothing Can Be Unbiased, Where to Put the Error Instead, and How to Route the Report --- reproducibility deposit}, year = {2026}, publisher = {Zenodo}, doi = {10.5281/zenodo.21783660}, url = {https://doi.org/10.5281/zenodo.21783660}, 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 and add version = {v1.2.NN}. When the accompanying journal article is published, please cite it as the primary reference for the method and this deposit as the reproducibility archive. Version history (consolidated changelog) Published version DOIs are marked ✅; the concept DOI above always resolves to the latest. Staged versions were rolled into the next published one unless noted. v1.2.11 ⏳ (staged 2026-09-01) — Live availability-DOI link + deepened table callouts (documents-only; no result, number, figure, or datum changed). The manuscript's Availability of data and materials statement now renders the concept DOI as a functional, clickable hyperlink in the built docx/pdf (was literal [...](...) text) — the m0-family docx builder was taught to render markdown [text](url) as a real hyperlink, resolving the reason the Behavior Research Methods editorial office returned the submission. The Table 11 and Table 12 callouts were deepened to point the reader at specific rows/values (float_callout substantive 0.35 → 0.45). Manuscript docx/pdf rebuilt from unchanged source; MANIFEST regenerated. v1.2.10 ✅ 10.5281/zenodo.22151244 (2026-08-28) — Long-form Derivations Companion added (~38 pp, D11–D17 written out in full) alongside the compressed ladder; documents-only, structure + math-render audits pass. v1.2.9 ✅ 10.5281/zenodo.22139670 (2026-08-28) — Routing-domain validation. Both browser demonstrators resolve flip incidence across the routing taxonomy (m0f: 615 forward / 450 reverse label-vs-floor recalibrations over 4,129 public tables; m0g: 312 of 2,391 guaranteed-interval withdrawals), with new reproducible scans, deposited JSON/CSV outputs, the analyzable public-table corpus, and two taxonomy deep-dives. v1.2.8 (2026-08-28) — De-bolded for verbal emphasis; Key-points highlights; refreshed novelty review.Emphasis-bold minimized (170 → ~42 spans; all 744 numeric tokens verified byte-identical), a house-standard seven-bullet Key-points box added after the abstract, and the novelty review rewritten to the clean strand-by-strand form. Presentation only; rolled into v1.2.9. v1.2.7 (2026-08-28) — Tables numbered, captioned, and called out. All 12 tables numbered (Table 1–12), given APA bold-label/italic captions, and referenced in the body (float_callout depth 1.00). Organization only; rolled into v1.2.9. v1.2.6 ✅ 10.5281/zenodo.22135868 (2026-08-27) — Routing-flowchart polish. Consistent ①–⑤ stage numbering (the scale stage is now a numbered pass-through in the figure too), vertical centering of decision-box titles, STOP-box clearance, rounded modal corners, and a legible star default marker. Presentation only. v1.2.1–v1.2.5 (2026-08-27) — The routing flowchart brought to a single house edge-label spec (figure + pop-up generated from one source), box-sizing / no-touching-boxes overlap guard, the pop-up flowchart aligned to the manuscript figure's visual style, and the browser tool taken to the flip-interpretation standard. Presentation + tooling; no result changed; rolled into v1.2.6. v1.2.0 ✅ 10.5281/zenodo.22003886 (2026-08-18) — Over-dispersion interval. The over-dispersion mechanism for the noncentral-interval drift and the derived two-moment ρ-interval (ρ_ci tight + ρ_ci_guard conservative, any R×C, JS-ported), rewriting Section 6.3 + Figure 6 and derivation D17 and superseding the earlier endpoint patch. v1.1.1 ✅ 10.5281/zenodo.21784544 (2026-08-04) — Earlier public release of the point-estimate package. Provenance: every number traces to a named, deterministically-seeded script listed in the manuscript Declarations; the two browser demonstrators reproduce the deposited Python, and the deposit build is deterministic (fixed timestamps → stable md5, SHA-256 MANIFEST).
William Dwyer· Zenodo (CERN European Organi...· 11 citations
Version 2 (2026-08-04). Revised to the NLL Universal Paper Format v6. The original text is retained in full; nothing has been deleted. Corrections appear as marked blocks placed at the section that carries the claim, and each one states what the paper said, what the data show, the corrected claim, why it happened, and what still stands. This version adds apparatus and two scoping lines; no claim is retracted.The paper claims only what it measured, discloses that the decay is applied in software rather than on-chip, and correctly disclaims mechanism novelty against Pehle et al. (2022) and Cramer et al. (2022).Two notes: five consecutive days cannot bound drift, as the paper states; and the Vairāgya framing is a label rather than a mechanism, which the paper's own scope note concedes. Chip access route added to Data availability. Everything below this line is the original description from version 1. It is retained unchanged for the record. Where it conflicts with the corrections above, the corrections stand. Two framings it repeats have since been withdrawn in full — the Bhaya Quiescence Law and the Buddhi S-Curve. Both are addressed in Maya-Meta P1, now superseded, and in the self-audit of Maya-Meta P2. Maya-Sutra P1: Letting Go on Silicon characterizes, on real analog silicon (BrainScaleS-2), how a single neuron stops firing ("lets go") as its input synaptic weight is reduced. Using a minimal in-the-loop protocol — set a weight, deliver a fixed five-spike burst, count the resulting spikes — we report five properties of this Vairāgya (non-attachment; the forgetting mechanism) signature. (1) The decay curve is reproducible within a session (maximum spread 0.47 spikes across three identical runs). (2) The shape is rate-invariant in weight-space; an apparent rate-dependence in round-space is a sampling artifact. (3) The weight-to-firing response is a soft staircase whose analog noise is localized at a let-go edge, with near-noiseless plateaus. (4) Across five consecutive days on independent nightly calibrations the shape reproduces while the absolute edge drifts within a bounded band (weights 37–39, mean 38.2). (5) Across a 32-neuron sample the staircase is the majority behaviour (~78% once the measurement window is widened), with neuron-to-neuron fixed-pattern variation dominating day-to-day calibration drift. The underlying analog mechanisms — soft firing thresholds, fixed-pattern heterogeneity, calibration drift — are known BrainScaleS-2 physics; no mechanism-level novelty is claimed. The contribution is a clean, honest characterization, the Vairāgya lens with predictions the hardware can falsify, and the neuron-reliability groundwork required before a property confirmed on digital substrates can be credibly tested on analog silicon. Two artifacts were caught and rejected, not published: a rate-space "linger" that proved to be a sampling artifact, and two stale-file uploads detected by a timestamp-and-noise check. Scope-lock per Maya-Meta P2: all findings are reproducible signatures within THIS architecture under THIS protocol — Property, not Law; a characterization and reliability baseline, not new physics and not a claim about biological brains or all chips. Series: Part of the Maya-Sutra Series — Nexus Learning Labs' hardware-native track, characterizing neuromorphic substrates directly (one substrate, one honest characterization at a time) as the foundation for cross-substrate confirmation of the Maya program's properties. Research characterization only. Links: GitHub Repository (private — to request access: email research@nexuslearninglabs.in with subject "Code Access Request — Maya-Sutra-P1" and your research context) | Interactive Dashboard | FAQ | Full Series Index — nexuslearninglabs.in Nexus Learning Labs, Bengaluru · UDYAM-KR-02-0122422 · BHASKAR IN-0526-9452JS · ORCID: 0000-0002-3315-7907 · VAIRAGYA_DECAY_RATE = 0.002315 — an ORCID-derived provenance mark, not an experimental parameter. Each paper's disclosure block states whether it reached a result in that paper. · Canary: MayaNexusVS2026NLL_Bengaluru
Venkatesh Swaminathan· Zenodo (CERN European Organi...· 64 citations
Organizations adopting AI-enabled process automation are routinely advised to choose a delivery lifecycle that is agile, plan-driven, or hybrid as though the choice applied uniformly across a whole specification effort. That framing is mis-drawn. Building on the author's antecedent five-gate method for converting an ambiguous business problem into an AI-ready specification (problem framing, decision decomposition, data grounding, behavioural specification, and oversight and acceptance), it argues that the gates impose opposite lifecycle requirements. Gates resolving uncertainty about what the business wants reward short cycles, working artefacts, and rapid feedback; gates establishing fixed conditions reward front-loaded rigour, sign-off, and documentation that survives audit. The defensible prescription is therefore neither agility nor hybridity as a blanket label but a gate-differentiated lifecycle: plan-driven discipline where late discovery is irreversible, iterative discipline where early commitment is guesswork. Because empirical work already reports hybrid delivery as the industrial norm, the contribution is a basis for which hybrid, not an argument for hybridity. It is a structured comparative synthesis of published reviews and empirical work in requirements elicitation, agile and hybrid development, process automation, and process mining, read alongside applied literature of varying provenance; it is not a new systematic review and reports no primary data. Its outputs are a three-archetype classification of automation, an eight-dimension comparison matrix across three lifecycle ideal types, a mapping of elicitation techniques, including process mining, to gates and archetypes, a four-factor contingency model, a survey of how lifecycle pressures appear across applied domains, and eight propositions for testing. Keywords: Requirements Elicitation, Intelligent Process Automation, Agile Requirements Engineering, Software Development Lifecycle, Contingency Model, Process Mining, AI Governance.
Joseph Idanesi Alieme, Aumbur Sule, Valentina Ochuko Obukadata· Gulf Journal of Computer Sci...· 0 citations
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Large language models (LLMs) increasingly repair software vulnerabilities, but most evaluations judge only similarity to a developer fix or removal of the weakness. Neither reveals whether working code was broken. We evaluate eight commercial and open LLMs on 922 JavaScript vulnerability patches, scoring neutralisation and functional preservation. Lacking tests, we score at scale with a reference-based LLM judge, calibrated against execution on a 144-patch benchmark and 254 Java-CVE patches, plus a cross-family judge. The best model fixes 23% of vulnerabilities (judge-based), and cost-efficiency inverts the accuracy ranking. Our central finding concerns the instrument: both judges flag more over-fixes than execution confirms (precision 5–10%), yet on the functional axis agree far more with each other (κ=0.75) than with execution (κ≤0.26), so judge–judge agreement measures reliability, not validity. On real Java code the over-reporting persists, while the judges’ correctness estimates diverge, leaving no single judge trustworthy. Over-fixing is genuine but, under execution, uncommon: a few percent of vulnerability-removing patches, or under 2%, excluding one artefact-prone scenario, both lower bounds. Only adequately tested execution measures the functional-preservation rate, so security-patch evaluation must run the code, use a judge only to rank models, and weigh costs. We release the harness and executable benchmark.
Patrick Deininger, Wolfgang Slany· Journal of Cybersecurity and...· 0 citations
This paper investigates the memory usage of battery management system (BMS) software functions required for operating the high-voltage battery system (HVBS) of a light-duty electric vehicle (EV). Seven BMS software functions—battery balancing and monitoring, state of charge (SoC) and power estimation, fault diagnosis, contactor control, and communication management—are developed, validated through processor-in-the-loop (PIL) testing, and evaluated for memory usage when deployed on the automotive-grade NXP S32K358 microprocessor unit. A comprehensive high-voltage battery and management system for the RAM ProMaster EV is developed to ensure the memory assessment reflects real-world deployment conditions, including a detailed mechanical and electrical design of the battery module, battery disconnect unit (BDU), high-voltage mechanical structure, and a thorough software architecture. A high-fidelity plant model of the HVBS is implemented in the MATLAB/Simulink 2023b environment to capture the electrical and structural characteristics of the system, enabling validation of the BMS software functions prior to deployment. An experimental dataset for 21,700 cylindrical lithium-ion cells from the RAM ProMaster EV is used to parameterize and test state estimation algorithms. The dataset covers a wide range of operational conditions, including multiple standard and non-standard drive cycles (UDDS, LA92, US06, HWFET, HWCUST and HWGRADE) and characterization tests (C/20 discharge, four-pulse HPPC and GITT). The results show that the SoC estimation system accounts for the majority of the memory used by BMS software functions, reaching 31.4 kB of flash and 52.2 kB of RAM, while the remaining functions exhibit significantly lower memory demands, consuming no more than a half of that amount. Overall, the findings suggest that the BMS software functions occupy a relatively small portion of the S32K358’s 8 MB of flash and 1125 kB of RAM (0.84%-flash and 8.63%-RAM) compared with the system overhead (3.89%-flash and 6.30%-RAM), leaving sufficient margin for integrating more advanced estimation and protection functions in future EV battery systems.
Romulo Vieira, Tridib Banik, Puzhou Wang et al.· Energies· 0 citations
This study aims to analyze and test the effect of Sales Volatility, Managerial Ownership, Book Tax Difference, Tax Planning on Profit Persistence in Non-cyclical Consumer Sector Companies in 2019-2024. The type of data used in this study is quantitative with secondary data sources in the form of company financial reports. The research sample includes 16 companies that have passed the sample criteria using a purposive sampling method, with observations for 6 (six) years obtained a total of 96 company data observations. The data analysis techniques using Eviews 12 software in data processing. The results of this study show that sales volatility, managerial ownership, book tax difference and tax planning simultaneously affect earnings persistence. Partially, sales volatility, managerial ownership and tax planning affects earnings persistence, but book tax difference does not affect earnings persistence.
Triyana Lestari, Benarda· Jurnal Nusa Akuntansi· 0 citations
The relevance of the study is due to the need to improve the efficiency and quality of the injection process of cement-sand mortar during foundation soil strengthening. The use of a check valve and a clamping device allows achieving more uniform and stable filling of voids and cavities in the ground. Modern conditions of construction and reconstruction of facilities place increased demands on technologies for foundation soil strengthening, especially weak soils, where injection methods show insufficient effectiveness. Geotechnical monitoring based on computational software systems help to assess the stress-strain state of soil during injection. The applied approach allows not only to increase the injection efficiency but also to provide a more precise prediction of the soil behavior after strengthening, which is especially important in building design and operation. Purpose: The purpose of this work is to improve and commercially test injection of cement-sand mortar during foundation soil strengthening, including the use of a check valve and a clamping device. Research findings: It is shown that the stress-strain state of soil grows after strengthening. Calculated and real deformation of foundations decreases by 12 times, and stresses in the soil increase from 450 to 850 kN/m 2 . The change in the pumping pressure of the mortar over time confirm its dependence on physical and mechanical properties of soil, which made it possible to more accurately regulate the injection process. Soil creep affects the stress-strain state of the foundation soil during injection of the reinforcing mortar and requires special attention when strengthening the foundation soil of buildings. It is important to note that stress relaxation after injection depends only on the pressure and physical and mechanical properties of the soil and is V = const.
O. V. Gerasimov, M. A. Vlasov, N. V. Krupina· Vestnik Tomskogo gosudarstve...· 0 citations
Purpose This article aims to examine how ethical leadership shapes innovative work behavior (IWB) in knowledge-intensive software development environments by positioning perceived human resource management (HRM) practices and knowledge management (KM) processes as dual organizational mechanisms. Design/methodology/approach Grounded in social learning theory and the ability–motivation–opportunity (AMO) framework, an empirical model was tested using survey data from 717 software professionals in Türkiye. Data were analyzed using structural equation modeling and Hayes’ PROCESS macro. Findings Ethical leadership significantly enhances IWB both directly and indirectly. Perceived HRM fairness and developmental support strongly boost KM processes, establishing a sequential pathway through which ethical leadership drives employee-led innovation. Originality/value This study bridges leadership and operational innovation by demonstrating that ethical leadership acts not only as a relational trust builder, but also as a structural enabler that activates human resource and knowledge capabilities.
Ramazan Topal, Halil Zaim· Strategic HR Review· 0 citations
Cloud native applications are built and released through continuous integration and continuous delivery pipelines that call for fast feedback and frequent deployment. Traditional test automation, which depends on scripts that are written once and maintained by hand, was never really designed for this pace of change. When a microservice is redeployed, refactored, or scaled several times a day, the scripts that were written to test it tend to fall behind, and quality assurance teams end up spending more time repairing tests than writing new ones. This paper looks at how artificial intelligence can be used to build a test automation framework that adjusts itself as the application changes, rather than breaking every time something moves. We describe a framework, referred to here as AutoQA CN, that brings together three capabilities: automatic generation of new test cases from API specifications and usage data, self-healing of broken test scripts through similarity-based and learned matching, and risk-based prioritisation of test execution using a reinforcement learning agent. The framework is built to sit alongside existing continuous integration tooling in a containerised environment rather than replace it outright. We evaluate the approach through an illustrative case study across three representative microservice scenarios and compare it with a conventional scripted automation baseline on three measures: maintenance effort, time to detect faults, and pipeline throughput. The results point to meaningful reductions in maintenance work and faster fault detection, along with a modest gain in throughput. We close by discussing where these gains are likely to hold up in practice, where the approach still needs human oversight, and what would need to happen for a framework like this to be trusted in production settings.
Ihor Diakonov· Journal of Artificial Intell...· 0 citations
The success of the palm oil and tea plantation industries is largely determined by the quality and motivation of Human Resources (HR) in the field. This study aims to analyze the effects of competency development programs and work incentives on the performance of operational employees at PT Perkebunan Nusantara IV Regional 4. The research employed a quantitative approach using a structured questionnaire distributed to 80 operational employee respondents through purposive sampling. Data analysis was conducted using SPSS software, including validity testing, reliability testing, classical assumption testing, and multiple linear regression analysis. The results showed that competency development (b₁ = 0.415, p < 0.05) and work incentives (b₂ = 0.485, p < 0.05) had a positive and significant effect on operational employee performance, both partially and simultaneously, with a contribution of 68.5% (R² = 0.685). These findings imply that improving the quality of competency development programs and implementing a fair incentive system are crucial strategies for the company to optimize operational productivity and reduce the percentage of harvest losses.
Uswatun Hasanah, Novi Peramasari, Nayla Desviona· Digital Bisnis Jurnal Publik...· 0 citations
Midwife-led continuity of care (MLCC) is globally recognized for improving maternal health outcomes through consistent, personalized care. In Rivers State, Nigeria, women's perceptions on the MLCC is poorly documented. This study evaluated the perceived relevance of MLCC in meeting maternity care needs among women obtaining maternity services in selected primary health facilities in Rivers State, Nigeria. A parallel convergent mixed-methods design was employed. The study was conducted in four randomly selected primary healthcare centres: Orogbum, Ozuoba, Aluu, and Omoku. The study sample comprised 14 purposively selected informants for the qualitative phase and a conveniently selected 292 respondents for the quantitative phase. Face-to-face interviews were conducted, transcribed, and analysed thematically for the qualitative phase. For the quantitative phase, data were collected via structured questionnaires and analysed using SPSS 25 software. Descriptive statistics summarized participants’ characteristics, while Chi-square analysis (p < 0.05) tested associations between variables. Quantitative results showed a favourable overall perception (grand mean = 2.80), with strong agreement that continuity with the same midwife improves trust, communication, informed decision-making, and maternal emotional well-being. Chi-square analysis demonstrated a significant association between parity and perception of MLCC (p < 0.001), with primiparous and multiparous women reporting more positive perceptions than grand multiparous women. Qualitative findings further showed that continuity of care enhances confidence, strengthens therapeutic relationships, and provides emotional security, although concerns were raised about feasibility in understaffed facilities. Health systems should strengthen the implementation of MLCC through improved staffing, supportive policies, and integration into primary maternal services.
Patience Ibe, Eunice Osuala, Samuel Onuoha et al.· IPS Journal of Basic and Cli...· 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.
