Search Results (1,466)

Under the dual pressures of water scarcity and rising food demand, dynamic irrigation identification is essential for optimizing water allocation and improving agricultural water-use efficiency. However, constrained by the spatiotemporal resolution trade-off of single-source remote sensing data, limited capability in characterizing irrigation dynamics, and the difficulty of generating dynamic samples, current approaches remain insufficient for continuous and automated detection of irrigation events at fine scales. To address these limitations, this study proposes a dynamic irrigation identification method integrating spatiotemporal fusion and dynamic sample generation. First, daily 10 m re-modified perpendicular drought index (RPDI) time series are reconstructed using the Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM), and combined with in situ soil moisture observations to characterize RPDI responses to irrigation events. Second, canal water release records and RPDI response features are integrated to generate dynamic irrigation samples with per-time-step labels. Finally, a multi-head attention-enhanced Bi-LSTM model is developed for automated identification of irrigation signals. Application in the Yongji Irrigation District showed that the proposed model outperformed LSTM, Bi-LSTM, and single-head attention-enhanced Bi-LSTM in both per-time-step irrigation response state identification and actual irrigation event identification, with average test-set OA and F1 values of 0.965 and 0.945. Independent validation showed no false-positive or false-negative actual irrigation events and accurate irrigation frequency retrieval. By contrast, although the baseline models achieved relatively high per-time-step accuracy, with OA values ranging from 0.887 to 0.960, they failed to accurately retrieve irrigation frequency, with OAfreq ranging from 0.211 to 0.868. These results demonstrate that the proposed method is capable of dynamically identifying irrigation events and effectively retrieving irrigation frequency information. Full article

Valentin Yakovlevich Parnakh (1891–1951)—poet, dancer, translator, critic, and indefatigable mediator between artistic milieux—developed idiosyncratic avant-garde poetics in which verbal texture, choreographic invention, and graphic inscription form a single communicative ecology. Focusing on Parnakh’s Parisian collection The Acrobat Climbs (Karabkaetsya acrobat) (1922), this article reconstructs how “low” temporal arts (cabaret, music hall, circus, pantomime) and the modernist revaluation of the body reoriented lyric practice away from a representational “image” toward a performative event and a kinetic sign. The argument proceeds from Parnakh’s struggle “to free oneself from the burden of the word” to the compensatory emergence of dance as an international, non-nationalized medium—at once existential (a “cry of the soul”) and formally experimental. Central attention is given to the author’s attempts to fix movement: the enigmatic “hieroglyphs of dances” printed in 1922 and their later clarification through more legible pictographic systems (“stick-figures”) published in the second half of the 1920s. By correlating poems, self-descriptions of choreography, and visual materials, this study reframes Parnakh’s apparent “obscurity” not as gratuitous zaum, but as a deliberately intermedial hermeneutic problem—one that presupposes translation between sign systems (word/line/body) as the very substance of avant-garde meaning. Full article

Supply chain traceability often fails in practice because relevant records are scattered across production, warehouse, transport, laboratory, and document systems. When a recall or audit is needed, firms must manually collect and reconcile evidence from many sources. Existing standards and blockchain platforms address parts of this problem, but prior work still reports recurring weaknesses in governance, confidentiality management, interoperability, and performance measurement. This paper presents a governance-aware, privacy-preserving, event-driven conceptual model for supply chain traceability. The model uses five event types—Create, Transform, Transfer, Verify, and Recall—linked through explicit lineage. It stores compact signed event headers on-ledger and anchors detailed off-ledger payloads and governance policy text through hashes. It also links data-sharing choices to consortium governance, defines validation invariants, embeds key performance indicators, and produces two regulator-ready outputs: a product passport and an audit pack. The contribution is a standards-informed conceptual artifact that integrates event semantics, provenance reconstruction, selective disclosure, governance, validation, performance measurement, and regulator-ready outputs in one cross-sector traceability model. Full article

Due to an increase in the demand for water and the limited availability of real time monitoring technologies, efficient management of residential water resources poses a unique problem. This study describes the development of an inexpensive Internet of Things (IoT)-based electronic system capable of providing real time monitoring and artificial intelligence (AI)-driven analysis of residential water consumption. The electronic system consists of the use of a YF-DN50 flow sensor connected to an ESP32 microcontroller allowing for continuous data acquisition. The data collected is stored in a cloud-based spreadsheet on Google Colab for processing and analysis, where an unsupervised Long Short-Term Memory (LSTM) Autoencoder model was developed for anomaly detection. The developed model produced a final training loss value of 0.038 and a validation loss value of 0.045, with the threshold for anomaly detection determined to be mean + 3 standard deviations above the reconstruction error. During the observation period, the system detected a total of 7 anomalous events as well as detecting an overall 85.7% of the detected known events and having a 33% reduction in false negative detections compared to a simple fixed threshold baseline. The results of this study demonstrate that the combination of IoT sensors with LSTM Autoencoder analysis of water consumption allows for the monitoring of water consumption patterns and early detection of anomalies, thus providing a means to achieve a reduction in average monthly household water consumption from approximately 21 m³ to 18 m³. Full article

Clinical AI systems rely on evolving machine learning pipelines and large-scale medical imaging data, creating persistent challenges in trust, auditability, consent governance, and reproducibility. This paper proposes a decentralized governance framework for clinical AI that uses blockchain as a verification and policy-enforcement overlay without decentralizing sensitive medical data storage or clinical inference. Raw images and clinical artifacts remain in secure repositories, while cryptographic commitments, consent states, access events, and reproducibility manifests are anchored to a tamper-evident ledger. The framework enables verifiable provenance, programmable consent enforcement, auditable execution, and deterministic reconstruction of AI-assisted decisions while preserving regulatory alignment and clinical usability. In a medical imaging proof-of-concept spanning nine simulated scenarios and approximately 43,500 inference attempts across cohorts of 50 to 1000 subjects, the framework achieved a mean Governance Quality Index of 0.93, governance overhead below 11 ms per operation under routine settings, and throughput above 220 requests per second on average. Complementary validation over a real-world paired imaging-and-clinical dataset structure further showed that the same governance abstractions can be instantiated for 625 subjects and 6349 MR images. Overall, the framework separates governance from data and computation, providing verifiable auditability and reproducibility without disrupting existing clinical infrastructures. Full article

This work presents new data and several age–depth reconstructions based on distinct approaches to improve previously published age models for sedimentary sequences collected on the Iberian Margin middle shelf: PO287 6-1B, 2G (Porto); PO287 26-1B, 3G, and D13902 (Lisbon); and POPEI VC2B (Algarve). The new age models are constructed using radiocarbon dates calibrated with the IntCal20 calibration curve and smooth-spline regressions from the CLAM (non-Bayesian) and Bacon (Bayesian) models. A comparison of the age–depth models generated by the different approaches shows that, beyond the distinct solutions produced by CLAM and Bacon for each site, the differences between the two methods are inconsistent across sites. Furthermore, neither model yielded reliable results for the discontinuous sedimentary sequence with reworked older sediments and a hiatus. In this specific case, the “classical” linear regression (best-fit) approach appears to yield the results that enable intercomparison across all sequences. This exercise confirms the record of the 1755 earthquake and tsunami in the Lisbon core splice and a potential record of the same event in the Eastern Algarve, although the collected data indicate a more distal or lower-energy wave deposit. Full article

Digital forensics increasingly operates under extreme data growth, where exhaustive bit-wise imaging of modern storage is constrained by time, storage, and processing cost. Selective imaging and artifact prioritization methods reduce acquisition volume, but they typically order artifacts by content, location, or offense type rather than by the relationships that make evidence interpretable. As a result, they risk discarding the contextual artifacts on which attribution and corroboration depend. This paper introduces the High-Value Evidence Area (HVEA) pyramid, a dependency-oriented abstraction that organizes Windows forensic artifacts into ten operational layers (A–J) grouped into four evidentiary tiers: attribution anchor, primary payload, behavioral contextualization, and structural corroboration, in which acquisition order follows interpretive prerequisites rather than artifact salience. The model is evaluated on nine Windows forensic images spanning Windows XP, Vista, and Windows 11, combining retrospective analysis of the M57-Patents corpus with a controlled fourteen-day behavioral experiment. Across systems and operating system generations, HVEA layers exhibit stable evidentiary function despite changing artifact implementations; behavioral execution telemetry persists even where user content is sparse or deliberately concealed; and a three-source timestamp corroboration pattern consistently converges within thirty seconds across independent OS mechanisms, providing an empirically grounded defensibility threshold for event reconstruction. The results support a dependency-ordered, NIJ-aligned selective acquisition strategy that preserves interpretive context while reducing acquisition footprint by approximately 95% (a 15–20× reduction) on the controlled Windows 11 image. The present evaluation is scoped to Windows environments; extending the tier mappings to other platforms is identified as future work. Full article

Grade IV lateral patellar luxation is an advanced orthopedic condition that may be associated with severe skeletal deformities, chronic soft-tissue contracture, and irreversible loss of normal stifle function. Although reconstructive procedures are considered the treatment of choice in most dogs, some end-stage cases may not be amenable to conventional correction. This report describes the clinical presentation, surgical management, and long-term outcome of a young dog with severe bilateral grade IV lateral patellar luxation treated with single-stage bilateral stifle arthrodesis. A 1-year-old, 42-kg intact female Romanian Shepherd Dog was presented with chronic severe hindlimb dysfunction, crouched posture, and permanent bilateral patellar luxation. Orthopedic and radiographic examination revealed severe femoral valgus, proximal tibial varus, external tibial torsion, absence of a functional trochlear groove, marked caudal thigh muscle contracture, and severely restricted stifle extension. Computed tomography was considered but not performed because of financial limitations. Based on the severity of the deformities and the limited preoperative range of motion, conventional reconstructive procedures were considered unlikely to restore functional joint motion. Bilateral stifle arthrodesis was therefore performed during a single anesthetic event using tibial tuberosity osteotomy, temporary Kirschner-wire fixation, and bilateral 3.5-mm locking compression plates. Due to severe chronic soft-tissue contracture, final arthrodesis angles of 95° and 99° were achieved. Progressive clinical improvement and radiographic bone union were observed throughout follow-up. At 12 months, complete bilateral arthrodesis and implant stability were confirmed radiographically. At 24 months, the dog remained independently ambulatory with a markedly improved quality of life despite persistent mechanical gait abnormalities, including circumduction and intermittent bunny-hopping. This case suggests that bilateral stifle arthrodesis may represent a salvage option in carefully selected dogs with end-stage bilateral grade IV lateral patellar luxation when conventional reconstructive procedures are unlikely to restore useful limb function. Full article

Background: Metastatic colorectal cancer (mCRC) that progresses after standard first- and second-line therapies carries a poor prognosis, and multiple third-line treatment options are available without a clearly established optimal strategy. This study aimed to comprehensively compare the efficacy and safety of currently approved third-line treatments using reconstructed individual patient data (reconstructed IPD). Methods: A systematic review and reconstructed IPD meta-analysis of phase III randomized controlled trials was conducted in accordance with PRISMA-IPD guidelines. Kaplan–Meier survival curves were digitized and reconstructed using validated methodologies. The primary endpoint was overall survival (OS), while secondary endpoints included progression-free survival (PFS) and the incidence of grade ≥3 treatment-related adverse events (AEs). Results: A total of 3338 patients were included across five treatment groups: regorafenib (n = 650), fruquintinib (n = 739), trifluridine/tipiracil (TAS-102; n = 780), TAS-102 plus bevacizumab (n = 246), and pooled placebo (n = 923). TAS-102 plus bevacizumab demonstrated the greatest benefit (OS HR: 0.43, 95% CI: 0.35–0.50; median OS: 10.89 months; PFS HR: 0.20, median PFS: 5.51 months). Fruquintinib (OS HR: 0.67; median OS: 7.97 months; PFS HR: 0.32; median PFS: 3.70 months) and TAS-102 (OS HR: 0.70; median OS: 7.2 months; PFS HR: 0.41; median PFS: 2.09 months) showed comparable survival benefit to regorafenib (OS HR: 0.68; median OS: 7.04 months; PFS HR: 0.39; median PFS: 2.16 months), with fruquintinib demonstrating superior PFS versus regorafenib (HR: 0.71, p < 0.001). Grade ≥3 AEs were highest with TAS-102 plus bevacizumab (72.36%) and lowest with fruquintinib (34.02%), with hematologic toxicity predominating in TAS-102-based regimens and hypertension and hand–foot skin reactions more common with tyrosine kinase inhibitors. Conclusion: TAS-102 plus bevacizumab was associated with the greatest survival benefit in this indirect comparison and appears to be the most effective option for eligible patients. However, these findings should be interpreted cautiously given the absence of direct head-to-head trials. Among tyrosine kinase inhibitors, fruquintinib demonstrated superior PFS compared with regorafenib, while OS was comparable. Full article

The optimal revascularization strategy for common femoral artery (CFA) atherosclerotic occlusive disease remains debated. This systematic review and meta-analysis compared perioperative and long-term outcomes of endovascular therapy (EVT) and open surgery (OS). Methods: PubMed, Embase, Web of Science, the Cochrane Library, and ClinicalTrials.gov were searched through 15 March 2026 for comparative studies of EVT versus OS in CFA atherosclerotic occlusive disease. Outcomes included perioperative morbidity, wound complications, hospital stay, patency, reintervention, major amputation, and survival. Time-to-event data were pooled as hazard ratios (HRs), reported or reconstructed from Kaplan-Meier curves. Risk of bias and evidence certainty were assessed. Results: Eleven studies with 2835 patients were included. Compared with OS, EVT reduced 30-day morbidity (OR, 0.34; 95% CI: 0.26–0.44), wound complications (OR, 0.14; 95% CI: 0.09–0.23), surgical-site infections, lymphatic complications, myocardial infarction, and hospital stay (mean difference, −4.68 days; 95% CI: −5.49 to −3.86). Distal embolization increased after EVT (OR, 2.45; 95% CI: 1.28–4.70). Follow-up major amputation was higher after EVT in event-rate analyses (OR, 2.42; 95% CI: 1.19–4.93), although amputation-free survival was similar (HR, 1.01; 95% CI: 0.83–1.23). EVT had higher hazards of loss of primary patency (HR, 1.72), loss of secondary patency (HR, 2.03), and reintervention (HR, 1.51). Conclusions: EVT offers fewer early complications and shorter hospitalization, whereas OS provides more durable patency and fewer reinterventions. Given observational, heterogeneous evidence, treatment should be individualized. Full article

We develop the geometry of events in a deformable cellular spacetime, extending our earlier cellular-spaces framework from cellular complexes to cellular events complexes. The framework operates within the conformal class of Minkowski space; in four dimensions, this is the vanishing-Weyl-tensor sector, which excludes Schwarzschild, Kerr, and gravitational-wave spacetimes. The framework treats integer counts of cell crossings as the primitive geometric data: spatial separation between events is the shortest count of face-adjacent cells; temporal separation is the cell-crossing count of a reference light pulse. Newton’s universal clock is replaced by an operational one: the temporal count distance is the ratio of cell length to the speed of light through a cell, and because both quantities are invariants of the co-deformation, the temporal count is itself an invariant: temporal separation is operationally measured via light-pulse counts rather than posited as an external coordinate. Under the co-deformation principle, a single positive scalar field $\rho$ (cell density) controls both the rod length and the clock period. We prove six results, all expressed in terms of counts on the cellular events complex, with a smooth conformally flat metric $\tilde{g}=e^{2\phi }\eta$ ($\phi =-\frac{1}{3}ln\rho$) appearing only as the comparison/calibration object for convergence statements. First, the scalar curvature of the smooth comparison metric is the closed-form differential operator $\tilde{R}=2\square \rho /{\rho }^{1/3}-(8/3){(\partial \rho )}^2/{\rho }^{4/3}$. Second, the volume of a small Alexandrov interval admits an explicit asymptotic expansion in the interval height T, with leading correction $Q(m,u)T^2$ involving an anisotropic invariant at the midpoint m. Third, Q is irreducible to scalar and Ricci-directional invariants alone; the explicit decomposition $Q=\frac{1}{45}\tilde{R}+\frac{1}{5}{\tilde{R}}_{uu}+\frac{1}{2}\mathcal{J}$ exhibits a third independent invariant $\mathcal{J}(m,u)={(u·\partial )}^2\phi \left(m\right)$ as new structural content of the Lorentzian diagnostic. Fourth, the discrete-to-continuum convergence of counts on the cellular events complex yields a counts-only curvature estimator with rate $O\left(\sqrt{a}\right)$ at the joint scaling $T\asymp \sqrt{a}$. Fifth, the smooth comparison metric itself is reconstructible from counts on the discrete complex at rate $O\left(a\right)$: the conformally flat Lorentzian geometry is uniquely determined, up to background Minkowski calibration, by the cellular events complex. Sixth, a finite collection of Alexandrov-interval volume measurements at a fixed midpoint suffices to recover the full local curvature data $\{\tilde{R}\left(m\right),{\tilde{R}}_{\mu \nu }\left(m\right),\mathcal{J}(m,u)\}$ at rate $O\left(\sqrt{a}\right)$ (curvature spectroscopy); and the temporal light-tick count $\lambda$ is essential in a precise sense—there exist conformally flat Lorentzian geometries indistinguishable on every spatial slice by the earlier spatial-only diagnostic but distinguished at the origin by the events-space directional invariant. The framework’s scope is the conformal class of Minkowski: flat FLRW in conformal time, leading-order weak-field gravity, and 2D gravity. This paper is a mathematical contribution to discrete-to-continuum geometry on cellular events complexes; it is not a physical theory of gravity. Full article

This article analyzes the laboratory discourse in Soviet society during the first third of the twentieth century through the lens of tékhnē—the ancient fusion of making and knowing—arguing that the laboratory became a key site for redefining artistic practice as a form of knowledge production. Drawing on the institutional critique of the laboratory (Bruno Latour), the author raises the question of the potential for mutual influence between different types of laboratories established in the fields of art, technical sciences, and production. The mechanisms of a laboratory’s influence on society, as identified by Latour, allow for a new interpretation of the phenomenology of the All-Russian Theatre Society and its significant internal divisions. The history of the emergence and defeat of the Laboratory of Mass Psychology at the All-Russian Theatre Society (ARTS) in the 1920s–1930s is reconstructed on the basis of archival materials from RGALI (fund 970). Meeting minutes and documents from 1929 to 1932 reveal the main modes of the anthropology of the “laboratory genre” within the ARTS system (1920s–1980s). These are examined within the general experimental context of the era: the laboratory boom of the 1920s–1930s reshaped the boundaries between the natural sciences and the humanities. The second mode is the human experience of being on the threshold between life and death—a transgressive state. The third mode is the laboratory as a site for new forms of labor and technology. Within the laboratory’s work, psychotechnics acquired particular significance, reaching its culmination in 1931–1932. This period, marked by an intense flurry of events and new laboratory practices of psychological influence, was rightly called a “psychosis of activities” by the participants of the ARTS laboratory themselves. Full article

Accurate characterization of flood dynamics in large river–lake systems remains challenging due to the difficulty of simultaneously capturing inundation extent and water surface elevation (WSE) variations under rapidly changing hydrological conditions. This study develops an integrated Synthetic Aperture Radar (SAR) and wide-swath interferometric altimetry framework to reconstruct the spatiotemporal evolution and storage dynamics of the 2024 flood event in the East Dongting Lake system, China. Sentinel-1 SAR imagery is utilized to derive high-resolution inundation extent, while the Surface Water and Ocean Topography (SWOT) mission, equipped with the Ka-band Radar Interferometer (KaRIn), provides two-dimensional WSE observations. To improve SAR-based flood extraction in heterogeneous floodplain environments, an Adaptive Spatially-Constrained Fuzzy C-Means (AS-FCM) algorithm is proposed by incorporating adaptive spatial regularization and structure-aware neighborhood weighting. Quantitative evaluation demonstrates that the proposed method achieves the highest performance among the evaluated conventional approaches, with an Overall Accuracy of 93.6%, an Intersection over Union of 0.89, and a Kappa coefficient of 0.87. The multi-temporal inundation sequence reveals a distinct flood evolution pattern characterized by rapid expansion during the rising stage and gradual recession during the post-peak period. SWOT-derived WSE observations exhibit strong agreement with synchronous in situ measurements after bias adjustment, with a correlation coefficient of 0.988. By integrating SAR-derived inundation extent with temporally matched water-level observations constrained by bias-adjusted SWOT and in situ gauge data, an empirical WSE–area relationship ($R^2=0.937$) is established to reconstruct daily flood dynamics and estimate cumulative water storage variation. The results indicate that the East Dongting Lake floodplain played an important buffering role during the 2024 flood event, with cumulative storage variation reaching approximately $10.7{\mathrm{km}}^3$ during the peak stage. Overall, the proposed framework demonstrates strong potential for flood monitoring and hydrological storage assessment in complex river–lake systems. Full article

Metallic probe carriers are commonly used in magnetic flux leakage (MFL) inspection to support sensing elements and maintain lift-off, but a conductive carrier located near the sensor can act as an active electromagnetic boundary. This study investigates the carrier-induced waveform reconstruction caused by such a conductive near-field boundary. A theoretical model is developed to describe the induced current, secondary magnetic field, and relaxation-related downstream memory generated when the carrier moves through a non-uniform leakage field. Transient finite-element simulations are used to examine the effects of carrier material, scanning speed, and concave carrier geometry. Compared with the air reference, aluminum and copper carriers produce stage-dependent waveform reconstruction, including valley modification, peak modulation, feature-position shift, and trailing-side extension. The quantitative waveform-deviation indicators increase with increasing speed and are further regulated by carrier geometry. Experimental results based on repeated magnetic response events confirm amplitude suppression, non-zero residual after amplitude matching, response broadening, and enhanced trailing asymmetry. These results demonstrate that the metallic probe carrier is not an electromagnetically transparent holder but an active near-field conductive boundary that should be considered in probe-carrier design and MFL signal interpretation. Full article

Polar-orbiting microwave radiometers provide indispensable all-weather measurements of the atmospheric state, yet revisit intervals of many hours leave critical gaps during rapidly evolving weather events. To address this limitation, we developed MIDAS (Microwave Inference via Diffusion Across Satellites), a probabilistic framework that estimates microwave brightness temperature (BT) fields across the geostationary full-disk domain from infrared observations at 10 min intervals. This study focuses on the five Microwave Humidity Sounder-2 (MWHS-2) humidity-sounding channels near 183 GHz, which provide vertically resolved water vapor information. MIDAS achieves relative errors below 0.5% for the majority of cases, with a channel-averaged mean absolute error of 1.15 K, outperforming a deterministic U-Net baseline (1.43 K). Beyond per-sample evaluation, MIDAS reproduces large-scale climatological patterns across the full-disk domain over a three-month summer period, consistent with Radiative Transfer for TOVS–Scattering (RTTOV-SCATT) simulations. In deep convective scenes where reconstruction is most difficult, the ensemble spread naturally tracks reconstruction difficulty, providing a built-in indicator of prediction confidence. Notably, MIDAS incorporates real-time polar-orbiting observations as physical constraints via a merge-sampling mechanism, reducing ensemble RMSE by over 20% and improving probabilistic calibration by more than 30%. Proof-of-concept assimilation experiments for two high-impact weather cases show that MIDAS-generated fields yield forecast improvements comparable to those from real satellite observations, reducing tropical cyclone track errors from approximately 110 km to 40 km and improving heavy precipitation forecasts at extreme rainfall thresholds where direct infrared assimilation shows no benefit. Overall, our framework demonstrates the potential of generative models to supplement sparse observational coverage and provide physically plausible microwave humidity fields for downstream applications. Full article