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This technical manifesto (ED-9921-V10-GEN) is a design concept that needs lots of work, it introduces Version 10.0 of the Project Genesis: Noble Storm Platform, an advanced open-hardware blueprint for…

This technical manifesto (ED-9921-V10-GEN) is a design concept that needs lots of work, it introduces Version 10.0 of the Project Genesis: Noble Storm Platform, an advanced open-hardware blueprint for a decentralized, non-nuclear kinetic-thermal recycling engine. The document details how a high-velocity noble gas vortex can be magnetically and acoustically stabilized to bypass traditional thermodynamic limits, converting internal friction heat and external ambient light natively into electricity. It charts the platform's multi-scale infrastructure—from 421.15 kW city substations and 250 kW residential basement vaults down to a 5.0 kW tactical suitcase generator featuring hybrid lithium/sodium carbon nanotube thermal-chemical batteries. Finally, the text establishes strict mechanical parameters for a hermetically sealed, vacuum-packed yttrium-stabilized zirconia (YSZ) ceramic core reinforced with a tungsten-diamond micro-mesh, ensuring absolute immunity to nuclear-grade electromagnetic pulses (EMPs), zero gas leakage, and a maintenance-free lifespan exceeding a century.      

Diagnosing a crop disease is only the first step; farmers also require clear, trustworthy guidance on how to treat it. This paper presents AgriViT-LLM, a two-stage system that first classifies the dis…

Diagnosing a crop disease is only the first step; farmers also require clear, trustworthy guidance on how to treat it. This paper presents AgriViT-LLM, a two-stage system that first classifies the disease and estimates its severity using a dual-head Vision Transformer (DualHeadViT), then generates Integrated Pest Management (IPM) treatment recommendations using a retrieval-augmented Large Language Model (LLM). The treatment advice is grounded in a curated set of documents from the Indian Council of Agricultural Research (ICAR) and Acharya N. G. Ranga Agricultural University (ANGRAU), so recommendations can be traced back to a real source rather than the model's own guesswork. The classifier is trained on 49,144 images covering 46 in-distribution disease classes drawn from three public datasets (PlantVillage, Cotton, Banana) plus a field-image set (PlantDoc); three additional PlantVillage classes (Citrus HLB, Grape Esca, Tomato YLCV) are deliberately withheld to test how the system handles diseases it has never seen (out-of-distribution, or OOD). DualHeadViT reaches 99.10% accuracy on the held-out test set. The treatment module fine-tunes a Qwen2.5-7B language model, first with supervised fine-tuning and then with Group Relative Policy Optimization (GRPO) against a transparent, six-part reward, reasoning over evidence retrieved with a hybrid BM25+FAISS search and crop-aware re-ranking (a Search-R1-style approach). Controlled experiments show that both retrieval and GRPO matter: removing retrieval causes treatment quality to collapse on diseases the model has not seen before, and GRPO training raises the IPM score from 38.3 to 62.3 compared with supervised fine-tuning alone, mainly by making the recommendations more complete. Ablating architectural components (the dual head, severity head, and MixUp augmentation) makes little difference to already-saturated in-distribution accuracy, but each one consistently helps the model generalise better to real field photos. Overall, the system produces verifiable, well-sourced bio-pesticide, chemical, and cultural treatment recommendations — closing a gap left by systems that only classify the disease.

Ecological Engineering: Sustainable Systems and Environmental Design — Student Guide is an open-access, rigorous undergraduate-level engineering curriculum module designed for engineering studen…

Ecological Engineering: Sustainable Systems and Environmental Design — Student Guide is an open-access, rigorous undergraduate-level engineering curriculum module designed for engineering students, educators, and sustainability practitioners. Aligned with core ABET and CEAB environmental and ecological engineering syllabi, this module provides a comprehensive systems analysis integrating biological principles with engineering design to solve water quality degradation, erosion, habitat fragmentation, and climate vulnerability. Curricular & Technical Highlights: Functional System Architecture: Employs an IDEF0 (Input-Control-Output-Mechanism) systems engineering workflow to translate observational ecological data and ecosystem metrics under regulatory and ecological constraints into actionable habitat restoration designs and self-sustaining bio-infrastructure. Biogeochemical Reactor Modeling: Detailed formulation of subsurface horizontal constructed wetlands using first-order plug-flow decay kinetics (the k-C* model), temperature-corrected denitrification rates via Arrhenius scaling, and clean porous media Darcy flow hydraulics. Biotechnical Stabilization & Living Shorelines: Mathematical mechanics of mechanical root reinforcement (Wu-Waldron tensile shear model), porous vegetation wave energy attenuation, and blue carbon coastal sediment accretion. Comparative Systems Engineering: A multi-criteria systems trade-off matrix evaluating unit operations across horizontal subsurface constructed wetlands, conventional activated sludge plants (CASP), living shorelines (mangroves and oyster reefs), rigid concrete seawalls, and biotechnical slope stabilization. Worked Quantitative Engineering Problems: Step-by-step numerical calculations covering subsurface constructed wetland reactor sizing, coastal mangrove storm wave energy attenuation, bioswale stormwater runoff peak reduction via the Rational Method, brownfield heavy-metal soil phytoremediation extraction timelines, blue carbon salt marsh economic credit valuation, multi-strata riparian forest sediment trapping, and extensive green roof building envelope thermal power flux savings. Self-Assessment & Concept Review Modules: Comprehensive interactive review questions, analytical scenario inquiries, and quantitative problem sets. Canonical web edition and interactive dynamic simulators: https://prep4uni.online/stem/physical-technologies/environmental-engineering/ecological-engineering/

This article investigates the pragmastylistic characteristics of antonymic phraseological units in English and Uzbek. The study focuses on stable expressions containing semantically opposite component…

This article investigates the pragmastylistic characteristics of antonymic phraseological units in English and Uzbek. The study focuses on stable expressions containing semantically opposite components and examines how such oppositions function at semantic, pragmatic, and stylistic levels. The research applies descriptive, contrastive, semantic, contextual, and pragmastylistic methods. The analysis demonstrates that antonymic phraseological units in both languages perform several important communicative functions, including intensification, inclusiveness, totality, continuity, evaluation, contrast, emotional emphasis, and inevitability. The findings also show that formally different phraseological units may perform similar pragmatic functions in English and Uzbek. Consequently, functional and pragmatic equivalence is often more significant than literal correspondence in contrastive analysis and translation. The results contribute to comparative phraseology, pragmatics, stylistics, translation studies, and intercultural communication.

Open Call for two new Task Team members (Co-Lead and active member) to join the Energy Consumption and Carbon Footprint Task Team. The document describes the requirements and links to the online appli…

Open Call for two new Task Team members (Co-Lead and active member) to join the Energy Consumption and Carbon Footprint Task Team. The document describes the requirements and links to the online application form. Closing date for applications will be 06 November 2026 at 23:59 UTC. 

Data and code supporting the paper "Sub-cellular fluctuation imaging (SCFI) reports single-bacterium metabolic state for rapid antibiotic susceptibility testing" by K. Phonrat*, C. R. Bermingham*, A. …

Data and code supporting the paper "Sub-cellular fluctuation imaging (SCFI) reports single-bacterium metabolic state for rapid antibiotic susceptibility testing" by K. Phonrat*, C. R. Bermingham*, A. Eley, P. Pinweha, I. Murillo, H. Baxter, J. P. Hays, D. J. Hill, M. B. Avison and M. Antognozzi (*equal contribution). The record contains the bacterium-level SCFI metrics (relative fluctuation amplitude CV and fluctuation rate 1/τD) behind every figure, table and statistic in the paper and its Supplementary Information. It also contains the region-of-interest definitions and verification images for all 6446 recorded bacteria, and the complete analysis code. A script re-runs the analysis on the deposited data and reproduces all figures and statistics. Files: AST_cell_level_metrics_R2_0.4.csv: antibiotic susceptibility experiments VT_cell_level_metrics_R2_0.3/0.4/0.5.csv: growth-phase, PFA, protonophore and glucose experiments, at three goodness-of-fit thresholds roi_parameters.zip: region-of-interest parameters and verification images code.zip: analysis pipeline and reproduction scripts README.md: data dictionary, normalisation and instructions Raw videos are available from the corresponding author on request. Corresponding author: Massimo Antognozzi, School of Physics, University of Bristol (Massimo.Antognozzi@bristol.ac.uk)