Our Work

What's Changed Specify JSON-LD projection and round-trip for property value forms by @simontaurus in https://github.com/OO-LD/oold-schema/pull/92 Full Changelog: https://github.com/OO-LD/oold-schema…

What's Changed Specify JSON-LD projection and round-trip for property value forms by @simontaurus in https://github.com/OO-LD/oold-schema/pull/92 Full Changelog: https://github.com/OO-LD/oold-schema/compare/v0.6.0...v0.7.0

For a long time, traditional crop science and plant physiology have primarily focused on the physiological responses, gene expressions, and morphological shaping of individual plants. However, in actu…

For a long time, traditional crop science and plant physiology have primarily focused on the physiological responses, gene expressions, and morphological shaping of individual plants. However, in actual field production environments, crops never exist as isolated individuals. Instead, they construct a coordinated system with group-level emergent properties through complex underground root interactions, airborne chemical signal exchanges, adaptive resource allocation, and subsurface microbial networks. This paper systematically proposes the frontier theoretical framework of "Plant Population Coordination Science" in agronomy, exploring how individual plants within the same farmland ecosystem form self-organized group behaviors through multi-medium interactions. Starting from four core mechanisms—underground root spatial architecture, rhizospheric and atmospheric chemical signaling (volatile organic compounds and root exudates), subterranean mycorrhizal/bacterial symbiotic networks, and population-level resource competition and compensation—this study analyzes the emergent features of plant populations in light interception, nutrient and water scheduling, pest and disease defense, and stress mitigation. The findings demonstrate that shifting the paradigm from "individual optimization" to "population coordination optimization" can break through the physiological yield limits of single plants, providing solid theoretical support and innovative practical pathways for modern high-density planting, intercropping system designs, and intelligent farmland population regulation.

We present systemic-tau-formal v0.1.8 as documented in this English preprint (document version 0.1.8-r3): an open monorepository that states the operational core of the Systemic Tau (τₛ) paradigm and …

We present systemic-tau-formal v0.1.8 as documented in this English preprint (document version 0.1.8-r3): an open monorepository that states the operational core of the Systemic Tau (τₛ) paradigm and the Discrete Extramental Clock (RECD) in a form accepted by a formal verifier.The Lean 4 + Mathlib package encodes regime bands, the gate function g(τₛ), partition and monotonicity lemmas, and a laboratory construction package that links the operational criterion to period-doubling cascade ideas and Feigenbaum's constant δ. The artifact is accompanied by a Python reference core, golden rational bridges, continuous integration, and a citable Zenodo software deposit.What is offered is not a closed narrative of dynamical universality, but a verifiable operational standard: an explicit decision rule, a machine checker that accepts it, and an open door to public scrutiny. Laboratory maps and scale identifications are presented as named, cited constructions, not as field theorems.Software pin: systemic-tau-formal v0.1.8 — DOI 10.5281/zenodo.21522882 (concept 10.5281/zenodo.21516059). Source: github.com/johelpadilla/systemic-tau-formal · path papers/preprint-standard-formal/.

Agroecosystems, as complex social-ecological systems, are subject to chronic stress from climate change, soil degradation, pest outbreaks, and excessive anthropogenic intensification. Traditional agri…

Agroecosystems, as complex social-ecological systems, are subject to chronic stress from climate change, soil degradation, pest outbreaks, and excessive anthropogenic intensification. Traditional agricultural frameworks predominantly rely on linear assumptions, positing that systemic responses to disturbances are gradual and predictable. However, accumulating empirical evidence demonstrates that when environmental or management drivers cross specific thresholds (tipping points), agricultural systems can undergo rapid, catastrophic, and often irreversible shifts from a highly productive state to a severely degraded or collapsed state. This study systematically establishes the theoretical framework of "Agricultural Critical Transition Science." By applying non-linear dynamics and bifurcation theory—specifically fold bifurcation mechanisms—we articulate how positive feedback loops drive sudden regime shifts in soil degradation, pest outbreaks, and agricultural water-salinity collapses. Furthermore, we mathematically derive the phenomena of critical slowing down (CSD) that occur as a system approaches a critical boundary, identifying key time-series and spatial early warning signals, including increased lag-1 autocorrelation, elevated variance, altered skewness, and spatial coherence (e.g., Moran's I). Finally, we propose adaptive management strategies centered on resilience building, feedback interruption, and controlled transformational adaptation. This framework offers a paradigm shift from reactive mitigation to proactive early warning and management, providing scientific decision support for global food security and sustainable agriculture under accelerating environmental change.

Full Changelog: https://github.com/morloc-project/morloc/compare/v0.94.0...v0.95.0

Objetivo da pesquisa: O presente estudo busca compreender como se deu a participação social no âmbito da elaboração do PPA 2024-2027 do Governo Federal. Buscou, tamb&…

Objetivo da pesquisa: O presente estudo busca compreender como se deu a participação social no âmbito da elaboração do PPA 2024-2027 do Governo Federal. Buscou, também, identificar as manifestações da sociedade brasileira orientadas à promoção do envelhecimento saudável comparando-as com os objetivos traçados no Plano de Ação Global da Década do Envelhecimento Saudável. Enquadramento Teórico: Para tanto, elaborou-se um estudo de abordagem qualitativa fundada na lente teórica da participação social e do envelhecimento saudável. Procedimentos metodológicos: O objetivo do trabalho permite classificá-lo como exploratório e descritivo. O procedimento de coleta de dados, por sua vez, ao se debruçar sobre fontes primárias e secundárias reanalisadas conforme objetivo traçado, faz com que a pesquisa assuma, também, o caráter documental. Os dados coletados foram submetidos à análise de conteúdo por meio da seleção de núcleos de sentido materializados em palavras e temas. Resultados: Os resultados indicam o relativo sucesso da experiência participativa no âmbito da elaboração do PPA 2024-2027 do Governo Federal, mas, por outro lado, evidenciam a baixa quantidade de manifestações da sociedade orientadas à promoção do envelhecimento saudável. As manifestações da sociedade que guardam pertinência com os objetivos traçados para a Década do Envelhecimento Saudável foram identificadas e sistematizadas de acordo com cada área de atuação disposta para a Década. Procedeu-se, portanto, com a análise das manifestações da sociedade compatíveis com as ações dispostas para Década sob responsabilidade dos Estados, bem como se procedeu com a análise das ações sob responsabilidade dos Estados que não foram identificadas em manifestações da sociedade brasileira no âmbito da elaboração do PPA 2024-2027 do Governo Federal. Originalidade: A pesquisa, ao se debruçar sobre objetivos estabelecidos para a Década e buscar manifestações da sociedade compatíveis com estes objetivos, explora um campo ainda não desbravado pela acadêmica. A singularidade deste estudo reside, portanto, na associação de elementos como o planejamento estatal, a participação social, e as políticas para o envelhecimento saudável que, comumente, são temáticas tratadas em separado. Contribuições práticas: Estabeleceram-se recomendações, amparadas nas ações para a Década e nas análises realizadas, para que os Conselhos de Direitos da Pessoa Idosa possam lutar pela promoção do envelhecimento saudável, sobretudo, em âmbito local esperando-se, assim, um impacto positivo proveniente de uma atuação engajada, embasada e fundamentada.

With the intensifying pressure of global climate change and resource constraints, the transition of traditional agriculture toward highly efficient, precise, and sustainable smart agriculture has beco…

With the intensifying pressure of global climate change and resource constraints, the transition of traditional agriculture toward highly efficient, precise, and sustainable smart agriculture has become an inevitable trend. As the absolute core of agricultural production, crops possess inherent resource perception capabilities that directly determine their resource use efficiency and stress adaptation strategies. This paper systematically elicits the theoretical foundation, core research domains, and application prospects of Crop Resource Perception Science, an emerging interdisciplinary field. Crop Resource Perception Science aims to decipher how crops precisely perceive key environmental signals—such as water, nitrogen, light, salinity, and neighbor competition pressure—via receptor systems at the molecular, cellular, and organ levels, integrate these signals, and conduct long-distance signaling to formulate corresponding growth strategies involving morphological plasticity, metabolic reprogramming, and physiological regulation. This paper thoroughly explores the molecular receptor and signal transduction mechanisms involved in sensing water, salt, nitrogen, light environments, and spatial competition pressure. By integrating the perspective of plant neurobiology, it examines the long-distance transmission networks of trans-membrane electrical signals and calcium waves, while establishing quantitative characterization models for crop resource perception and growth strategy conversion. Furthermore, this study elaborates on the deep integration pathways between Crop Resource Perception Science and smart agriculture, including the development of micro in-situ sensors, the reconstruction of perception-driven crop digital twin systems, and precision decision-making applications for intelligent farm machinery. Finally, the paper analyzes the key theoretical and technological bottlenecks currently facing the field and provides insights into future developmental directions.

As an emerging interdisciplinary domain, Agro-Spatiotemporal Adaptology aims to elucidate the mechanisms governing how crops, agroecosystems, and agricultural management practices simultaneously adapt…

As an emerging interdisciplinary domain, Agro-Spatiotemporal Adaptology aims to elucidate the mechanisms governing how crops, agroecosystems, and agricultural management practices simultaneously adapt to spatial heterogeneity and temporal dynamics, as well as their underlying succession and regulation laws. This study establishes its foundational hypothesis: "The same piece of land is not the same ecosystem at different times." This premise posits that the ecological elements, structural functions, and response mechanisms of agricultural systems undergo non-linear succession and structural dynamic reconstruction along the timeline.   This paper systematically explicates the academic definition, theoretical architecture, and successional mechanisms of Agro-Spatiotemporal Adaptology. A spatiotemporal state space model incorporating three-dimensional spatial coordinates X = (x, y, z) and time t is constructed. The system state S(X, t), comprising crop, soil, meteorological, and management vectors, is defined, and successional dynamics partial differential equations along with memory kernel functions are established to quantify the spatiotemporal transport of energy and matter in pure text format. Furthermore, the micro- and macro-mechanisms involving crop phenotypic plasticity, soil microbial community succession, and regional climate interactions are thoroughly analyzed.   Finally, a dynamic agricultural management paradigm founded on spatiotemporal non-identity is reconstructed. By shifting from static precision to spatiotemporal adaptive agriculture, implementing elastic agricultural calendars, and designing spatiotemporal ecological buffers, this framework offers robust theoretical and engineering support for building resilient, sustainable agriculture under global climate change and resource constraints.

Traditional agronomics and soil ecology have long focused on the material and energy exchange processes within the rhizosphere, such as nutrient uptake, carbon-nitrogen cycling, and water transport. H…

Traditional agronomics and soil ecology have long focused on the material and energy exchange processes within the rhizosphere, such as nutrient uptake, carbon-nitrogen cycling, and water transport. However, breakthroughs in chemical ecology, molecular biology, and allelochemical analytics have led to a growing consensus that the rhizosphere functions not merely as a site for physical material exchange, but as a highly dynamic, multidimensional "information intersection network." This paper formally proposes and systematically elaborates the theoretical framework of Rhizosphere Information Ecology (RIE), an emerging interdisciplinary domain. We comprehensively analyze the multidirectional signal transmission mechanisms among three core components—root exudates, microbial signaling molecules, and soil chemical media (including volatile organic compounds and secondary metabolites)—with an emphasis on biological processes such as quorum sensing, allelopathic signal transduction, common mycelial networks (CMNs), and cross-kingdom signal interactions. Furthermore, mathematical kinetic models of rhizosphere signal transport are constructed to derive quantitative expressions for signal attenuation and systemic ecological synergy, highlighting the vast potential of this field in plant stress-resistance induction, fertilizer reduction with efficiency enhancement, and smart agriculture design. The paradigm shift from "material exchange" to "information network" provides a novel theoretical lens and technological pathway to break through current resource and environmental bottlenecks in agricultural production.