Abstract: Turboshaft engines must maintain nearly constant power-turbine speed under rapid rotor-load variations while respecting limits on spool speed, turbine temperature, and compressor pressure. Performance regulation and engine protection are often designed and assessed separately, leaving their interaction insufficiently explored. This paper presents an integrated Full Authority Digital Engine Control (FADEC) architecture for a GE T700-class turboshaft engine, developed using a nonlinear T-MATS model. The architecture combines a sliding mode fuel-flow controller, two-dimensional variable guide vane scheduling based on corrected gas-generator speed and Mach number, actuator and sensor dynamics with transport delays, and an industrial Min–Max protection layer with anti-windup compensation. A gain-scheduled PI controller designed using the same loop-shaping specification serves as the baseline, allowing the comparison to isolate the effects of control structure rather than loop bandwidth. The vane schedule improved compressor surge margin in three of the four mission segments. During scheduled operating-point transitions, the two controllers exhibited comparable performance, as the shared feedforward schedule dominated the fuel command. Under ±20% and ±40% load disturbances, the sliding mode controller reduced the peak power-turbine speed deviation at every event, with an average reduction of 4.1%, while requiring 40% fewer protection-limiter activations. This difference is substantially larger than the advantage indicated by conventional transient metrics, which do not capture the residual baseline oscillations when they remain within the settling band. Automatic code generation produced 301 lines of code and 192 bytes of static RAM, corresponding to 39% less code than the baseline with identical memory requirements. Software-in-the-loop verification further confirmed the functional equivalence of the generated implementation.

Abstract: Distributional gaps in poorly documented Neotropical mammals often reflect the combined effects of ecological filtering, low detectability, taxonomic uncertainty, and incomplete sampling. We reassessed the documented distribution of L. brachyotis (Dobson, 1879), a rarely collected forest-dwelling phyllostomid bat, using an expanded occurrence dataset and specimen-based validation. Independently, we used ecological niche models to characterize climatic suitability under current and paleoclimatic conditions. We compiled 125 documentary or specimen records from published sources and museum material, including new voucher-based records from southern Ecuador and northern Colombia, and consolidated them into 121 reviewed unique locality-coordinate units. After environmental screening and cell-level deduplication, 115 unique presence cells were used for model calibration. The best-supported model used linear, quadratic, and hinge features with a regularization multiplier of 2.5 and performed significantly better than null-model expectations. Under current conditions, climatic suitability was broad but spatially heterogeneous across northern South America, with additional suitable areas in Mesoamerica, the Andean–Amazonian in-terface, central Brazil, and southeastern Brazil. Temporal projections identified recurrent areas of climatic suitability across northern South America, but were interpreted as climatic context rather than direct evidence of historical occupancy or demographic continuity. The new records indicate that the documented distribution remains incomplete along its margins. Our results support a revised interpretation of L. brachyotis as a rarely recorded humid-forest bat with a coherent Amazonian–Guianan core and peripheral extensions consistent with the combined influence of climatic suitability, habitat heterogeneity, and incomplete sampling.

Abstract: Agentic reinforcement learning scales training by expanding programmatic environments and synthesizing diverse tasks. We show that this scaling can paradoxically narrow training coverage through how data are constructed. Existing pipelines often construct tasks from executable paths or successful workflows, inducing a construction-induced selection bias toward feasible requests. In real-world applications, however, users often state goals without observing the environment state or environment-specific constraints, leaving such interactions underrepresented in training. This bias shows that scaling training around executable tasks alone cannot adequately represent the user--environment relations encountered in real-world applications. For such interactions, the existence of a conflict, its valid resolutions, and the corresponding supervision must be jointly determined with respect to the same environment instance. We therefore rethink agent training by taking the training scenario, rather than the executable task alone, as the unit of construction and verification. We introduce ReAgent to instantiate this view through scenario co-design, using environment-supported conflicts and valid resolutions as the common basis for jointly defining the task, user behavior, and supervision. ReAgent constructs feasible and conflict scenarios over execution-tested programmatic environments. Across two model scales and three agent benchmarks, ReAgent yields consistent gains spanning executable, blocked, and partially resolvable requests.

Abstract: Word decoding as a foundational reading skill is significantly associated with phonological awareness in children with typical development as well as children with intellectual disabilities. Phonological awareness is often assessed using traditional behavioral methods, which may underestimate abilities, particularly in individuals who are difficult to test due to behavioral, communication or attentional difficulties. This study tested whether an eye-tracking “looking-while-listening” paradigm provides an additional recording option which is appropriate and potentially informative to examine the cognitive process while solving phonological awareness tasks in the assessment of children with intellectual disabilities. Fifty-nine children with mild to moderate intellectual disabilities (aged 8–14 years) completed sound, syllable, and phoneme blending and segmentation tasks in paper-based and eye-tracking formats. Participants were classified as proficient or non-proficient based on behavioral performance in the paper-based format. Eye-tracking indices included fixation duration, counts, revisits, and first fixation on target, phonologically similar, and distractor images. Proficient participants showed longer fixation durations and more fixations on target images, as well as greater attention to phonologically similar competitors than distractors, compared to non-proficient participants, who showed no such differentiation. These findings suggest that eye-tracking is a process-oriented method for assessing phonological awareness in children with intellectual disabilities and may capture cognitive mechanisms not reflected in traditional assessment procedures.

Abstract: Background/Objectives: Malnutrition, feeding difficulties, and morbidity frequently coexist among vulnerable children and contribute to poor health and developmental outcomes. However, limited evidence has examined how these factors interact across diverse care settings or how structured nutrition interventions influence child health over time. This study examined the relationships among malnutrition, feeding difficulties, disability, and morbidity in children enrolled in Holt International's Child Nutrition Program (CNP) and evaluated changes in nutritional status, feeding difficulties, and morbidity after one year of participation. Methods: We retrospectively analyzed deidentified health and nutrition records from 13,370 children (0–18 years) enrolled in the CNP across eight low- and middle-income countries. Nutritional status was classified using WHO growth standards and references. Logistic regression examined associations between baseline malnutrition, disability, and morbidity, adjusting for age and sex. A longitudinal subset (n = 1,452) was used to assess associations between feeding difficulties and morbidity and changes in nutritional status, feeding difficulties, and morbidity after one year using McNemar tests. Results: At baseline, 45.5% of children were moderately or severely malnourished, 17.6% had at least one morbidity, 12.8% had feeding difficulties, and 22.3% had disabilities. Severe malnutrition was associated with higher odds of morbidity (OR = 1.39, 95% CI: 1.25–1.56), hospitalization (OR = 2.52, 95% CI: 1.92–3.31), cough, and constipation. Feeding difficulties were independently associated with morbidity (OR = 1.86, 95% CI: 1.53–2.25). After one year, nutritional status improved in 29.2% of children, feeding difficulties and morbidity declined, and the greatest improvements in malnutrition were observed among children with disabilities. Conclusions: Malnutrition and feeding difficulties were independently associated with increased morbidity among vulnerable children. Participation in a structured nutrition intervention was accompanied by improved nutritional status and modest reductions in morbidity over one year. These findings support integrating nutrition rehabilitation, feeding assessment, and routine health monitoring into child nutrition programs serving vulnerable populations in low- and middle-income countries.

Abstract: CCDC69 was previously identified as a gene upregulated during adipogenic differentiation of human Simpson–Golabi–Behmel syndrome (SGBS) preadipocytes but not mouse 3T3-L1 preadipocytes. Here, we investigated the role of CCDC69 in adipogenesis using SGBS cells. CCDC69 expression during adipogenic differentiation was assessed by quantitative reverse transcription PCR and Western blotting. CCDC69 function was examined by adenovirus-mediated overexpression and knockdown, followed by analyses of lipid accumulation, adipocyte marker expression, cell morphology, and cytoskeletal organization. CCDC69 expression increased during adipogenesis. CCDC69 overexpression enhanced adipogenesis, as indicated by increased lipid accumulation, a higher proportion of cells containing lipid droplets, and increased expression of adipocyte marker genes and proteins. Unexpectedly, CCDC69 knockdown also enhanced adipogenesis. Time-course analysis showed that CCDC69 overexpression suppressed PPARG mRNA expression during early adipogenesis but increased its expression at later stages, whereas knockdown increased PPARG expression at later stages. CCDC69 overexpression induced a flattened cell morphology accompanied by reduced fibrillar α-tubulin structures and F-actin stress fibers and increased punctate F-actin structures, whereas knockdown increased the number of small, round cells. These findings indicate that CCDC69 may regulate adipogenesis in a stage-dependent manner and is associated with adipocyte morphology and cytoskeletal organization.

Abstract: Ti35NbxSn alloys produced via Electrical Resistance Sintering were evaluated for their potential in biomedical applications, particularly dental implants. The study focused on the effects of Sn content and sintering current on electrochemical properties and tribocorrosion behaviour. Testing in Hartmann-Ringer solution and sulfuric acid showed that alloys with 6 wt.% Sn sintered at 11 kA offered the best performance, demonstrating superior corrosion resistance, minimal wear rates, and stable microhardness. Sn significantly enhanced the stability of passive oxide films, aiding in repassivation during slide. Ion release remained below acceptable levels, indicating biocompatibility.

Abstract: Flow behavior can be affected by several parameters such as fluid properties, geometries shapes and work conditions. This paper attempts to present 2D numerical analysis of an incompressible fluid flow around circular and square cylinders using the lattice Boltzmann method with multiple relaxation time model (LBM-MRT). All simulations are carried out for fixed Reynolds number Re=100. Parabolic velocity profile was imposed in the channel entrance, while no-slip boundary conditions are adopted for walls and zero momentum flux in the outlet. Effects of obstacle shape, position, and dimensions on the lift and drag coefficients are studied and discussed. The combined consideration of these obstacle parameters for the two different geometries provides insight into their coupled influence on confinement effects and wake development. It was found that values of the drag coefficient around cylinder increase by increasing the cylinder hydraulic diameter and as position approaches the outlet.

Abstract: Acupuncture is supported by a long clinical tradition and a growing body of mechanistic research, yet the classical meridian system remains difficult to reconcile with conventional anatomical models. The persistent difficulty may arise from a category error: meridians have often been sought as discrete anatomical tubes, whereas the relevant biological object may be a dynamic control and information system. Here we propose the Meridian-Program Hypothesis, which reinterprets the acupuncture system as a five-layer bioelectrical and mechanochemical control network. In this framework, connective-tissue and neural substrates form the hardware layer; local bioelectrical, mechanical, chemical and optical signals form the code layer; central nervous system processing acts as a compiler that assigns context-dependent physiological meaning; neuroimmune, endocrine and molecular pathways constitute the execution layer; and acupuncture functions as a parameterized state-correction input that may shift dysregulated states toward homeostasis. The model does not claim that traditional meridians are already proven anatomical structures. Instead, it offers a testable systems-level language that integrates evidence from electrical impedance studies, fascia research, somatotopic electroacupuncture circuits, neuroimaging, neuroimmune modulation and molecular network studies. We outline three experimental routes: multimodal signal fingerprinting of acupoints, causal chain testing from peripheral input to central processing and organ response, and mapping of pathology-specific stimulation parameters. By turning the meridian question from 'Where is the structure?' to 'How does the control system operate?', the hypothesis may help bridge traditional acupuncture theory with contemporary neuroscience, systems biology and precision neuromodulation.

Abstract: Accurate sleep staging is essential for characterizing sleep architecture, yet conventional polysomnography limits scalable and long-term sleep monitoring. Wearable sensors offer a practical alternative, but their performance depends on the physiological modalities used and how the signals are represented. This study investigates the effects of signal modality, feature representation, and sleep-stage granularity on subject-independent wearable sleep staging. Using DREAMT, we compare handcrafted features, short-time Fourier transform (STFT) representations, and their fusion across three-, four-, and five-class tasks. We further evaluate optical pulse signal-based classification using the larger MESA Sleep cohort. STFT improved class-balanced performance over handcrafted features, while BVP was the strongest individual STFT modality, particularly for REM. Hybrid fusion achieved Macro-F1 scores of 0.6476, 0.5108, and 0.4464 for the three-, four-, and five-class tasks, respectively. More complex fusion strategies did not improve Macro-F1 over simple concatenation. Overall, the results show that effective signal representation and complementary physiological information are more important than simply increasing the number of modalities or model complexity.

Abstract: Trajectory smoothing is a fundamental requirement in robotic systems, as abrupt velocity variations and discontinuities may generate vibrations, increase mechanical stress, and reduce motion accuracy. This paper presents a data-driven methodology for smooth trajectory generation based on human demonstrations, data augmentation, and deep learning techniques. Human-executed trajectories were acquired from video recordings under two motion conditions: paused trajectories containing deliberate stops at direction changes and continuously executed smooth trajectories. The extracted coordinate sequences were normalized and expanded through geometric data augmentation, including reflections, scaling, and translations, to improve training diversity and generalization. Two learning architectures were investigated: a feedforward artificial neural network (ANN) with two hidden layers and a Long Short-Term Memory (LSTM) network. The ANN successfully learned the nonlinear mapping between paused and smooth trajectories, producing accurate results for square-shaped trajectories and their augmented variants. However, additional experiments revealed limitations when trajectories contained multiple consecutive direction changes, indicating that trajectory smoothing cannot be interpreted solely as a geometric transformation problem. To address this limitation, an LSTM-based approach was implemented to explicitly model temporal dependencies within the trajectory sequence. Experimental results demonstrate that LSTM architecture generates smoother and more dynamically consistent trajectories while preserving the geometric characteristics of the original path. The proposed method effectively eliminates zero-velocity segments, improves motion continuity, and reduces trajectory discontinuities without requiring analytical trajectory models. These findings suggest that trajectory smoothing should be regarded as a spatiotemporal learning problem and highlight the potential of recurrent neural networks for generating smooth robotic motions from demonstration data in complex and unstructured environments.

Abstract: Urban regeneration is increasingly evaluated not only through physical and economic outcomes but also through residents’ experiences of neighborhood change. This review critically examines empirical research on the relationship between neighborhood environment and residential satisfaction in urban regeneration contexts. Drawing on 64 peer-reviewed studies identified through a structured search of Scopus and the Web of Science Core Collection, the review synthesizes how neighborhood conditions and satisfaction have been conceptualized, measured, and interpreted across different regeneration settings. Six overlapping environmental domains emerge from the literature: housing and infrastructure; accessibility, facilities, and services; public, green, and natural environments; social relations; participation and governance; and maintenance, management, cleanliness, and safety. The evidence shows that physical upgrading alone does not consistently lead to higher residential satisfaction. Its residential effects depend on everyday usability, social relations, participation, management, resident characteristics, regeneration stages, and institutional contexts. The review also identifies persistent conceptual fragmentation, reliance on cross-sectional and perception-based evidence, limited longitudinal comparison, and insufficient attention to nonlinear and heterogeneous responses. Future research should better integrate objective and subjective measures, examine regeneration as a staged process, and strengthen comparative and population-sensitive analysis to support more resident-centered neighborhood planning.

Abstract: Pholidota chinensis is an orchid with both medicinal and ornamental value. Due to overharvesting and limited natural reproduction, its wild populations have declined sharply. Although aseptic sowing enables large-scale propagation, climate-driven extreme heat poses a threat to seedling production. However, the physiological responses and propagation potential of P. chinensis seedlings under heat stress remain poorly understood. This study examined six-month-old seedlings under four temperatures (34℃, 36℃, 38℃, 40℃) for up to 96 h. Photosynthetic performance was assessed via UV-Vis spectroscopy and chlorophyll fluorescence (Fv/Fm), and propagation potential via stem segment regeneration. Unexpectedly, high-temperature stress induced a non-monotonic and temperature-specificpattern of pigment alteration: 34℃ reduced total chlorophyll to ~40% of initial value, whereas 36℃, 38℃, and 40℃ maintained 70%–95%, revealing that pigment content did not decline monotonically with increasing temperature. Pigment degradation became increasingly synchronized at higher temperatures, with chlorophyll b and carotenoid absorbance strongly correlated with chlorophyll a peaks (r > 0.85–0.90, P < 0.01). In contrast, Fv/Fm declined in a strictly temperature-dependent manner, from 0.74 to 0.50 (34℃), 0.45 (36℃), 0.41 (38℃), and 0.25 (40℃) at 96 h. Notably, 36℃ showed signs of partial PSII recovery, while the 36–38℃ range represented a critical transition zone, with 38℃ showing sustained suppression without clear recovery. Fv/Fm correlated strongly with proliferation coefficient (r > 0.85, P < 0.01), with proliferation severely compromised below Fv/Fm = 0.40 and completely lost at 0.25. These findings demonstrate that pigment content and photosynthetic functionality respond to heat stress through distinct mechanisms in P. chinensis seedlings. The strong Fv/Fm–regenerative capacity correlation supports chlorophyll fluorescence as a rapid, non-destructive indicator for early stress diagnosis and heat-tolerant material screening.

Abstract: This paper proposes a unified formal framework establishing the structural isomorphism between the "observer" in physics and the "agent" in artificial intelligence. Grounded in cross-disciplinary first principles, we advance the core proposition that an agent is fundamentally an open information-processing system, and rigorously derive its Minimal Complete Architecture (MCA) through the state-space coverage method. This architecture comprises five functionally irreducible and logically necessary dimensions: Input (I), Output (O), Memory (M), Generation (G), and Control (C). As a preliminary theoretical exploration, the proposed paradigm demonstrates significant potential for breakthrough contributions across three fronts: first, it provides a substrate-independent analytical framework spanning physical, living, and artificial systems; second, it furnishes operationally tractable and experimentally falsifiable foundational definitions of intelligence and consciousness; third, it offers an original theoretical perspective explaining the divergences among classical mechanics, relativity, and quantum mechanics through the lens of varying observer capability configurations. Serving as the theoretical point of departure for this emerging paradigm, the framework delineates a clear agenda for future research to provide increasingly rigorous and complete answers to these foundational scientific questions.

Abstract: Intestinal parasitic infections remain a significant public health problem in several regions worldwide. This study evaluates eight intestinal parasite species using five criteria, based on data from patients. The objective is to rank these parasitic species by their epidemiological importance to prioritize those with the greatest health impact. To achieve this, the data are neutrosophied to account for the inherent indeterminacy and uncertainty of clinical measurements. The resulting decision matrix is analyzed using the CRITIC multi-criteria decision-making method to determine criteria weights. Instead of the classical Pearson correlation, the Jensen-Shannon divergence is employed to capture non-linear relationships between criteria. The MARCOS method is then applied to rank the parasitic species. The main theoretical contribution of this work is the integration of neutrosophication, CRITIC with Jensen-Shannon divergence, and MARCOS. The proposed approach is compared with alternative divergence and correlation measures, viz. Kullback-Leibler divergence, and Pearson and Spearman correlations, to examine the role of symmetry and asymmetry in the results. Under the proposed neutrosophication the criteria weights are markedly more balanced than under the midpoint convention, and the mucus rate emerges as the most influential criterion under the Jensen-Shannon divergence. Regarding the parasitic species, Chilomastix mesnili and Blastocystis spp. emerge as the highest-priority targets for public health interventions.

Abstract: During dyadic interaction, another person’s unfolding action may proceed successfully as expected, succeed after correction, or ultimately fail, with different implications for how the observer should respond. It remains unclear whether the brain differentiates these action courses while the interaction is still unfolding and whether extensive dyadic motor experience sharpens this differentiation. Here, we recorded EEG from expert table tennis players and novices while they observed three-stroke interactions containing uninterrupted success, corrected success, or unsuccessful action. Experts showed a stronger ERP distinction between corrected success and unsuccessful action than novices. Time-frequency and multivariate analyses further revealed temporally evolving and decodable information about action course, particularly in experts, although expertise-related enhancement was not consistent across measures. Experts were more accurate overall in predicting landing location, but this behavioral advantage did not vary across action courses. These findings show that unfolding action courses can be neurally differentiated during dyadic observation and that extensive motor experience selectively sharpens some of these distinctions. More broadly, neural monitoring during dyadic interaction appears sensitive to how another person’s action develops and to its relevance for how the interaction is likely to continue.

Abstract: This contribution suggests a conceptual framework for a Basque country research institution. Over 20 years of data have been treated to assess CIC bioGUNE eligibility for Nature Index (NI). The tide of excitement swept up in the currents of this evolution, in the competitive races for fundings and staff. The characterization of liver injury research as a race, and the importance of the rankings and indicators can be calibrated by providing an insight into the practice of this middle-sized institution. Particularly acute is the issue of strategically designed by the Basque Government policies to create a bioregion in south-western Europe. CIC bioGUNE is enrolled in two ESI disciplines, ‘biochemistry & molecular biology’ and ‘cell biology’, and it belongs to top 1% worldwide ranking in this two disciplinary fields. As a research institution its academic influence has determined the creation of a network of interconnected publicly funded facilities which have a very similar internal culture. Comparisons between individual disciplines are reported here to provide a framework. Generally, it was found that the fact that provides internal cohesion to identify the driving force behind the context of this scientific race is the preeminent private and public funding relationships. Across the categories considered our results show the research impact of the work performed and the high profile of comparison for investment in science with leading institutions in the field.

Abstract: Improving the efficiency of pelleted compound feed production requires optimizing process parameters while considering the use of new protein components that provide high nutritional value without compromising technological properties. The aim of the study was to optimize the parameters for producing pelleted compound feed using a feed enrichment concentrate (FEC) based on natural, multi-protein raw materials of animal origin. The study examined the effects of mixing duration, feed mixture moisture content before pelleting, and the FEC addition rate on pelleted feed quality. Process efficiency was assessed based on feed mixture homogeneity, pellet strength and crumbliness, and key chemical composition indicators. The optimal mixing duration was 9 minutes, while the most favorable moisture content before granulation was 16%, ensuring high mixture homogeneity, maximum pellet strength, and minimal crumbling. The introduction of FEC did not negatively affect production processes or the physical and mechanical properties of pelleted feed compared to the control. At the same time, FEC increased crude and digestible protein and crude fiber content while maintaining high energy value. The 20% FEC treatment was the most effective, confirming the feasibility of its industrial application.

Abstract: Background: The population of patients surviving previous multivalve surgery is expanding, and structural Heart Teams increasingly encounter complex, multivalvular disease requiring reintervention, for which redo surgery often carries prohibitive risk. Combined, single-session transcatheter treatment of two diseased valves is increasingly reported, but patient selection, procedural sequencing, prosthesis choice, and, in particular, pacing strategy and protection of pre-existing intracardiac hardware remain largely unstandardized. Case Presentation: We report a 73-year-old woman with a twenty-year history of rheumatic multivalvular heart disease, comprising mechanical mitral valve replacement, tricuspid annuloplasty and pacemaker implantation in 2006, redo bioprosthetic tricuspid valve replacement in 2019, and, in 2026, critical native aortic stenosis combined with severe bioprosthetic tricuspid stenosis. After multidisciplinary evaluation, the patient underwent single-stage transfemoral transcatheter aortic valve implantation (TAVI) followed immediately by tricuspid valve-in-valve implantation using a reversed balloon-expandable valve, with dedicated stiff guidewires positioned in each ventricle before device deployment and used as combined delivery-and-pacing platforms. Both procedures were successful, with no lead dysfunction, paravalvular leak, or other complications. Review: Using this case as a clinical anchor, we review contemporary evidence on simultaneous double-valve transcatheter intervention, addressing patient selection, the rationale for simultaneous versus staged treatment, valve sequencing, procedural planning, prosthesis choice, pacing strategies — including guidewire-based and leadless pacing — and management of permanent pacing leads, and propose a practical decision algorithm to guide Heart Team planning in similarly complex patients. Conclusions: Individualized, literature-informed Heart Team planning, including a dedicated biventricular guidewire strategy, can simplify combined transcatheter treatment of multivalvular disease in patients with pre-existing intracardiac hardware; this review provides a structured framework to support such planning as the evidence base for combined double-valve transcatheter intervention continues to grow.

Abstract: Distance from equilibrium is treated as a scalar for strategic systems. A local reading, theasymmetry of the equilibrium response to payoff perturbations, and a global reading, theentropy production of the revision dynamics, are used interchangeably because both vanishon potential games. This paper measures whether they carry the same information. Onfamilies of two-player games generated at a prescribed harmonic fraction α of the Candogandecomposition, the two readings co-move almost perfectly across the family (SpearmanρS = 0.9927 [0.9914,0.9936], n= 1000), and that agreement is a confound: each reading isseparately monotone in α (0.9904 and 0.9819). Conditioning on α removes it. Within a levelthe association falls from +0.851 at α= 0.05, at m= 3 and n= 200, to an upper 95% intervalendpoint below 0.35 at every action count tested, m∈{3,4,5,6}, worst +0.156, with thelow-α and high-α intervals disjoint at every m. The two readings share a zero and little else,so an observed system should be located by a point in a plane and not by a number on a line.No system measured here carries both coordinates, so the plane is demonstrated on syntheticfamilies and anchored, not populated, by the two real readings. The structural possibilitythat a local response object and a global dissipation object come apart is not new and is notclaimed here: it is established for Markov jump processes and is exactly false in the Langevinclass, which makes it class-dependent. What is reported is the instantiation of both readingson finite strategic-form games, the harmonic fraction as the computable coordinate alongwhich the breakdown is parameterised, and the measurement. The evidence is two-playerthroughout. At three and four players the low-α coupling that the stratified design needs asa baseline falls below the registered 0.55 precondition (+0.378 and +0.172, against +0.847at N = 2), so the registered player-count kill-shot returns indeterminate instead of a pass,and the finite-size kill-shot returns indeterminate under the registration that binds it. Bothverdicts, a criterion substitution inside the finite-size unit, and a refuted repair are reportedin the body.