Search Results (829)

Wheat, soybean, and peanut are recognized as major food allergens, with their prevalence rising globally, necessitating rapid and reliable detection methods. A new detection approach was developed in this research, which integrates Ladder-shape Melting Temperature Isothermal Amplification (LMTIA) with Proofreading Enzyme-Mediated Probe Cleavage (Proofman) technology to enable the concurrent identification of wheat, soybean, and peanut allergens. Compared with the loop-mediated isothermal amplification (LAMP) method under the experimental conditions set in this study, this approach can reduce the false-positive results associated with LAMP, and it does not rely on sophisticated instrumentation required by technologies like mass spectrometry. The GAG56D (wheat), Ara h 2.01 (peanut), and Lectin (soybean) genes were selected as target genes for the three allergens. Specific primers and probes were designed according to these target genes, and the reaction system was optimized. A systematic evaluation of the triplex Proofman-LMTIA method was then conducted regarding its specificity, sensitivity, limit of detection, and repeatability. Finally, the method’s practical applicability was validated using commercial products. The optimized system achieved simultaneous detection within 40 min at 61 °C, showing no cross-reactivity with common foods. The method demonstrated good sensitivity, with a sensitivity of 5 pg/μL for genomic DNA and a detection limit of 5% (w/w) in a powder matrix, along with excellent repeatability. In practical sample testing, the results were fully consistent with product label declarations, accurately identifying single and multiple allergen contaminations. The Proofman-LMTIA detection method, with its rapid, simple, sensitive, and specific characteristics, demonstrates significant potential for applications in food safety supervision. Full article

We survey some recent combinatorial properties, which have been found in the context of the algebras of ladder operators in quantum mechanics. More specifically, we review dynamical systems which have nonselfadjoint Hamiltonians and are subject to a formalization in terms of pseudofermionic operators. For these systems, we detect structural analogies between algebras of pseudofermionic operators and the abstract notion of central product, which was originally studied for finite groups. Full article

The growing accessibility of small satellite technologies and international cooperation frameworks has enabled many emerging countries to initiate space development activities; however, the mechanisms through which they build and advance satellite development capabilities remain insufficiently theorized, as existing models such as the Space Technology Ladder capture only high-level milestones. To address this gap, this study proposes the Satellite Technology Ladder (SaTL), a structured 16-level framework integrating satellite development methods and satellite size as indicators of technological maturity. We conducted a comprehensive longitudinal analysis of all satellite projects initiated since 1990 across 16 emerging countries, coding each project according to the SaTL scheme and evaluating national trajectories over time. The analysis reveals four distinct developmental trajectories: (1) prolonged dependence on foreign procurement, (2) gradual capability enhancement through externally supported development, (3) expansion of domestic industrial ecosystems following initial collaboration, and (4) independent development from the outset based on pre-existing technological foundations. These findings demonstrate that technological advancement depends not only on technology introduction but also on absorptive capacity, institutional learning, and broader industrial structures. SaTL thus offers a theoretically grounded and empirically validated tool for assessing capability formation and informing policy strategies in emerging spacefaring nations. Full article

The reflectivity of the bare soil surface (BSS) is influenced by soil type, moisture, salinity, tillage, erosion, and other factors. To investigate the direct impact of erosion on the spectral characteristics of the BSS (SCBSS), a study site in the forest-steppe zone (Mtsensk district, Oryol Oblast, Russia), unaffected by salinity, carbonates, gypsum, and other factors, was selected. To suppress the influence of moisture and tillage, a multitemporal soil line (MSL) construction method was selected, which averages the influence of these factors, using the effect of big data. It was possible to reduce the influence of various factors on the SCBSS to two: zonal soil types and the extent of soil degradation from erosion (erosion degree). Soil types and erosion degree were determined by a ground survey with excavation of 488 pits/soil profiles. It was found that the relationship of soil types on the SCBSS has the form of a second-degree polynomial with a determination coefficient of R² = 0.95. Spectral reflectance decreases across the zonal series of soils: sod-podzolic, light gray forest, gray forest, dark gray forest, podzolized chernozem, leached chernozem, typical chernozem, and meadow-chernozem soils. The influence of erosion leads to a linear increase in reflectance for each soil type in the following erosion degree series: non-eroded, slightly eroded, moderately eroded, and strongly eroded. Superimposing two functional relationships yields a distribution in the form of a polynomial ladder. This distribution maintains the general trend of a polynomial decrease in soil reflectance across the zonal series with stepwise deviations at the erosion degree. The polynomial ladder allows us to demonstrate how the erosion degree can change the spectral characteristics of one soil type to those of another. Full article

Background: Spinal cord injury (SCI) is a severe pathological condition resulting in persistent motor and sensory impairments. The trace amine-associated receptor 5 (TAAR5) is a potential modulator of central nervous system functions; however, its role in CNS repair remains poorly understood. Methods: We comprehensively evaluated the effect of TAAR5 gene knockout on functional recovery following lateral spinal cord hemisection in TAAR5-KO and wild-type (WT) male mice. Sensorimotor recovery after SCI was assessed using the horizontal ladder, grasp, and hindlimb mobility tests. Exploratory and anxiety-like behaviors were evaluated using the open field and elevated plus maze tests before and 5 weeks after SCI. Results: TAAR5-KO mice exhibited accelerated recovery of sensorimotor functions, as assessed by joint mobility and grasping tests, compared to WT animals. In contrast, no significant intergroup differences were found in the Horizontal Regular Ladder test, likely due to the task complexity and an insufficient recovery period. Nevertheless, SCI induced elevated anxiety-like behavior regardless of genotype. Conclusions: These findings indicate that TAAR5 deficiency exerts a positive modulatory effect on the restoration of specific components of sensorimotor function after SCI. This effect may be mediated through the modulation of dopaminergic neurotransmission and inflammatory processes. The observed beneficial effect of TAAR5 knockout identifies this receptor as a promising target for developing novel therapeutic strategies aimed at improving functional outcomes following spinal cord injury. Full article

This study offers a comparative analysis of the symbolism of the soul’s ascent in Gregory of Nyssa’s De vita Moysis and Giovanni Pico della Mirandola’s Oratio. Rather than attempting to establish a linear or exclusive dependence, it focuses on a series of Mosaic themes that articulate a dynamic conception of perfection in both authors. Beginning with Moses as a paradigm of virtuous life, the paper examines the shared anthropology of desire underlying Nyssen’s notion of unending progress and Pico’s sacra ambitio. It then traces the ordered sequence of symbols as it develops in Gregory’s treatise: light and darkness, the mountain of the knowledge of God, Jacob’s ladder, the tabernacle, the eagle, death as consummation, and divine friendship. Through the interplay of these symbols both thinkers configure spiritual growth as an ever-deepening participation in divine unity and truth. Particular attention is given to integration of the classical disciplines of the ancient philosophical curriculum within the Mosaic itinerary, as well as to the conception of truth as gradually apprehensible but ultimately inexhaustible. The paper concludes by pondering the results of the comparative study and reflecting on Pico’s way of assimilating the wide variety of sources in his project of philosophical concord. Full article

In the context of the coordinated development of high-proportion renewable energy integration and alternating current/direct current (AC/DC) hybrid transmission, the sending-end power grid faces challenges such as decreased system strength, contracted stability boundaries, and difficulties in covering high-risk operating conditions. This paper proposes a new renewable energy scale impact analysis method that integrates “typical scenario construction-scale ladder comparison–prediction-driven time series injection” in response to the operational constraints of AC/DC transmission. In terms of method implementation, firstly, a two-layer typical scenario system is constructed under unified transmission constraints and fixed grid boundaries: A regular benchmark scenario covers the main operating range, and a set of high-risk scenarios near the boundaries is obtained through multi-objective intelligent search, which is then refined through clustering to form a computable stress-test scenario library. Here, the boundary scenarios are generated by a multi-objective search that simultaneously drives multiple key section load rates towards their limits, subject to AC power-flow feasibility and operational constraints, and the resulting Pareto candidates are reduced into a compact stress-test library by clustering. Secondly, a ladder scenario with increasing renewable energy scale is constructed, and cross-scale comparisons are carried out within the same scenario system to extract the scale effect and critical laws of key safety indicators. Finally, data resampling and Gated Recurrent Unit multi-step prediction are introduced to generate wind power output time series, enabling the temporal mapping of prediction results to scenario injection quantities, and constructing a closed-loop input interface of “prediction–scenario–grid indicators”. The results demonstrate that the proposed hierarchical framework, under unified AC/DC export constraints, can effectively construct a compact stress-test scenario library with enhanced boundary-risk coverage and can reveal how transient voltage security evolves across renewable expansion scales. By coupling boundary-oriented scenario construction, cross-scale comparable assessment, and forecasting-driven time series injection, the framework improves engineering interpretability and practical applicability compared with conventional scenario sampling/reduction workflows. For the forecasting module, the Gated Recurrent Unit (GRU) model achieves MAPE = 8.58% and RMSE = 104.32 kW on the test set, outperforming Linear Regression (LR)/Random Forest (RF)/Support Vector Regression (SVR) in multi-step ahead prediction. Full article

Norfloxacin has been widely found in water bodies and exhibits a strong toxic effect on aquatic organisms. To uncover its toxic mechanism on algae, the cell growth, reactive oxygen species (ROS) levels, physiological activities, mitochondrial membrane potential (MMP), caspase-3-like activity, cell morphology, TUNEL-positive nuclei and DNA ladders were determined in Chlamydomonas reinhardtii in exposure to norfloxacin. With raising norfloxacin concentration, the inhibitory and lethal effects on C. reinhardtii cells gradually enhanced, and the whole of the cells were dead under 50 μM for 24 h. During the cell death, respiratory and photosynthetic rate gradually reduced and disappeared after 24 h, while ROS quickly burst and maintained high levels during the 24 h. The MMP was markedly broken after 0.5 h, while caspase-3-like was activated, with the highest activity at the 2nd h. With prolonging the treatment time, the algal cells showed a gradual shrinking and wrinkling trend, while the numbers and fluorescence intensity of TUNEL-positive nuclei gradually increased. Meanwhile, the DNA was degraded by Ca²⁺-dependent endonucleases to show ladders after 6 h, and the degradation gradually enhanced during the death process. These characteristics demonstrate that norfloxacin can poison algae by triggering programmed cell death induced by the elevated ROS. Full article

Spinal cord injury (SCI) induces persistent locomotor deficits that are closely associated with maladaptive structural plasticity of spinal neuronal circuits. Although motor rehabilitation improves functional outcomes, the cellular substrates underlying rehabilitation-induced recovery remain incompletely understood, particularly in relation to activity-dependent neuromodulation strategies. Here, we investigated how treadmill-based motor training (TMT) and its combination with bioluminescent optogenetic (BL-OG) stimulation of Hb9 (homebox 9)-positive motoneurons and excitatory interneurons selectively modulate microarchitectural plasticity in the injured rat spinal cord. At the level of gross locomotor assessment, Basso, Beattie and Bresnahan (BBB) scores were comparable between the BL-OG and SCI+TMT groups. Although no statistically significant differences in the total score in rung ladder were observed at 28 days post-injury, animals in the BL-OG group showed a tendency toward a higher ratio of successful hindlimb placements, indicating improved step accuracy. BL-OG stimulation was associated with a slightly greater attenuation of SCI-induced spine abnormalities compared to TMT alone, with significant differences between the experimental groups detected specifically in laminae VIII and IX. These lamina-specific alterations in dendritic integration and dendritic spine composition were accompanied by preservation of wisteria floribunda agglutinin WFA-positive perineuronal net (PNN) architecture. Against this background, reduced glypican-4 (GPC-4) expression and attenuated WFA/GPC-4 colocalization were observed in the SCI+BL-OG group relative to SCI in laminae VII–IX, consistent with activity-dependent modulation of PNN-associated synaptic organization in Hb9-positive neuronal populations. Together, these findings indicate that motor rehabilitation and bioluminescent optogenetic stimulation engage distinct but partially overlapping mechanisms of activity-dependent microarchitectural remodeling, preferentially targeting synaptic and perineuronal net-associated substrates rather than inducing large-scale circuit reorganization. Further studies are warranted to elucidate the mechanisms underlying these distinct plasticity profiles. Full article

Background/Objectives: Severe acquired brain injury (sABI) disrupts early rehabilitation because arousal fluctuates, trunk control is fragile, and agitation limits therapy tolerance; land-based practice is frequently constrained by fall risk and staffing. We aim to reframe aquatic therapy as a programmable multisensory environment to stabilize arousal and support axial alignment before conventional impairment targets are feasible. Here, programmable denotes the deliberate titration and reporting of water depth, turbulence or perturbation, temperature, body orientation, and flotation and manual support as intervention inputs. Methods: This perspective integrates principles from neurobehavioral assessment, motor control, and immersion physiology to propose the Arousal–Alignment–Action loop as a falsifiable model and to define manipulable aquatic inputs (water depth, turbulence or perturbation, temperature, body orientation, and flotation and manual support) as dosing parameters. We outline a pragmatic testing ladder (within-session micro-experiments, feasibility studies, and embedded evaluations) and a minimal outcomes and confounder set to support cumulative evidence. Results: The framework links state regulation to alignment and goal-directed behavior, specifies predictions that can fail, and highlights boundary conditions (sedation, autonomic instability, pain, recent surgery or wounds, and cervical or cardiopulmonary constraints). A minimal outcome package spanning arousal/responsiveness, trunk control, behavioral dysregulation, participation/tolerance, and basic physiology is proposed, with optional objective adjuncts for mechanism-oriented studies. Conclusions: Treating water as a measurable and titratable medium, rather than a generic modality, may reduce early intensity bottlenecks and improve implementability and comparability of aquatic neurorehabilitation research in medically stable sABI; however, the model is intended as hypothesis-generating until supported by stronger direct clinical evidence. Full article

Efforts to build a sociobiodiversity-based bioeconomy increasingly depend on recognizing and rewarding the stewardship practices carried out by Indigenous Peoples and Local Communities, and smallholder farmers. Yet, such practices, rooted in collective governance, traditional knowledge, and care for ecosystems, remain largely invisible in market and policy frameworks. This study compares recognition mechanisms for stewardship practices worldwide (38 case studies) and in Brazilian projects supporting sociobiodiversity chains (384 projects) using an inductive typology of material and non-material recognition and Arnstein’s Ladder of Citizen Participation. Results show that 70% of cases combine multiple recognition forms, but their distribution and empowerment outcomes diverge. Globally, recognition mechanisms are more balanced, often codified in laws, participatory councils, and payment-for-ecosystem-service schemes that place communities on the upper rungs of Arnstein’s ladder, with co-management authority. In Brazilian projects, recognition remains predominantly material and focused on short-term interventions–capacity-building, equipment, and market access, corresponding to lower rungs of citizen participation. Overcoming this condition requires policies that couple economic incentives with institutionalized participation. Markets alone will not value the non-material elements that sustain sociobiodiversity. Implementing Brazil’s National Bioeconomy Strategy will therefore depend on public policies that reward both the products and the collective stewardship behind them. Full article

Lost circulation remains a persistent and costly challenge in drilling operations for oil, gas, and geothermal energy systems, particularly when wide fractures and cavernous formations are encountered. Although a wide range of lost circulation materials (LCMs) is commercially available, multiple laboratory studies report that many conventional products are unable to effectively seal fractures of approximately 5 mm width under controlled conditions. In contrast, recent investigations of shape memory polymer (SMP)-based LCMs have demonstrated successful sealing of fractures up to approximately 12 mm in width. This review examines recent advances in SMP-based LCMs as an emerging class of smart materials capable of overcoming geometric and operational constraints associated with drilling equipment, particularly bottom-hole assembly (BHA) components. Through thermomechanical programming, these materials are transformed into compact temporary shapes suitable for seamless circulation and are subsequently triggered by reservoir temperatures to recover permanent geometries up to an order of magnitude larger. Upon activation, these discrete elements function collectively as a hierarchical, jammed system. The resulting multiscale networks—comprising ladder-shaped elements, interwoven fibers, and granular particles—bridge large apertures, enhance mechanical interlocking, and achieve superior hydraulic isolation. Full article

The rapid proliferation of electric vehicles (EVs) has introduced significant challenges to the efficient operation of hydrogen-containing integrated energy systems (H-IESs). To cope with these challenges, this paper develops a bi-level optimal scheduling strategy for H-IESs that simultaneously incorporates a ladder-type carbon emission trading mechanism, demand response, and the operational characteristics of EVs. A demand response model is formulated by considering the coupling characteristics of electric and thermal loads. Price-based incentive signals are further designed to coordinate the interactions between the H-IES operator and EV users, enabling flexible resources to actively participate in system scheduling. In the proposed bi-level framework, the upper-level problem aims to minimize the total operating cost of the H-IES, while the lower-level problem seeks to reduce the charging cost of EV users. The resulting bi-level optimization problem is reformulated and solved using the Karush–Kuhn–Tucker (KKT) conditions. Case study results demonstrate that, compared with the single-level benchmark, the proposed bi-level strategy reduces the total operating cost by 34.79% and lowers the EV charging cost by 4.50%. Full article

Fire suppression in the upper U.S. Midwest has led to the expansion of flammable coniferous ladder fuels, necessitating precise tracking of conifer species basal area (BA) for fire risk management. This study benchmarks four subset-selection pipelines—xPLS, GA-xPLS, RF-xPLS, and SVR-xPLS—to optimize the fusion of high-dimensional, collinear data from Sentinel-2, Landsat-9, and LiDAR sensors. Using 141 field plots in Minnesota’s Kawishiwi Ranger District of the Superior National Forest, we evaluated 175 predictors against eight BA response variables. Results show that RF-xPLS provided the superior accuracy–parsimony trade-off, achieving the highest pooled R² (≈0.86) and lowest error with a compact 27-predictor block. GA-xPLS ranked second, excelling for specific species such as Pinus resinosa. The most effective predictors combined SWIR-based moisture indices, red-edge/NIR structure, and a single LiDAR-derived surface of vertical-structure (quadratic mean height). Our findings demonstrate that integrating machine learning selection engines with multi-sensor fusion substantially enhances the scalability and precision of forest inventory and fuels monitoring. This comparative framework offers practical insights for sustainable management and fire risk mitigation in northern temperate–boreal forests. Full article

Serial flow cytometry was recently introduced as a method that can estimate measurement uncertainty (i.e., imprecision, the coefficient of variation of repeated measurements of individual particles) independent from population characteristics. Replication of light sources and detectors at multiple sites along a flow cytometer’s microchannel requires more equipment and can complicate detector synchronization. Here, we introduce amplitude modulation to encode each region of a serial cytometer with a unique carrier frequency, which enables demultiplexing of the combined signal incident on a single photodetector by fast Fourier transform (FFT) peak magnitude. To facilitate validation of detection, matching, and uncertainty quantification of fluorescence signals, we designed a microfluidic amplitude modulation (AM) serial flow cytometer that has ground truth detectors on individual regions (serial cytometry) in parallel with the combined channel detection for AM demultiplexing. With this report, we present metrics for event detection and dynamic range, prevalence and processing of overlapping detections, region-decoding accuracy, process yield, and uncertainty quantification on a brightness ladder of calibration microspheres. Despite being operated with reduced light intensities, the AM cytometer was capable of high-fidelity performance in comparison to conventional serial cytometry. For events above the detection limit, over 97% were analyzed. Both conventional and AM serial cytometers achieved median imprecisions in the range of 0.53% to 2.1% after outlier removal, which was well below the inherent intensity distribution of any of the microsphere subpopulations. Overall, AM cytometry supports uncertainty quantification and temporal analyses of serial cytometry data with a reduced number of photodetectors, which offers simplification of chip design with multiple measurement regions and wide-field detectors. Full article