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Closed loop iterative learning control for consistency tracking in lower limb rehabilitation robotic system with initial state deviations
Identifying critical States of complex diseases by local network Wasserstein distance
A mixed-precision memristor and SRAM compute-in-memory AI processor
Differences in medical care satisfaction of patients with “functional” vs “organic” esophageal diseases, Italian validation of the PPRS SF questionnaire
Anticoagulation therapy after reperfusion treatment for acute ischemic stroke with non-valvular atrial fibrillation: a multicenter retrospective study
A fusion model to predict the survival of colorectal cancer based on histopathological image and gene mutation
Identifying areas and centers of endemism in the Gran Chaco with Fabaceae as a diversity indicator
Abstract The Gran Chaco ecoregion is the second largest forest in South America and exhibits the highest deforestation rate in the world, threatened by the expansion of agriculture, lodging and cattle grazing. The Chacoan endemism richness has still been not adequately investigated. In this work, we detected areas of endemism (AEs) and centers of endemism (CEs) using Fabaceae as a proxy, with a novel combination of analyses to explore the endemism distribution pattern of Chacoan plants: NDM-VNDM analyses to detect AEs, and endemic indexes and clustering to detect CEs. We recovered regions with high concentration of endemic and highly restricted taxa: (1) Sierra Chaco; (2) Sierra/Arid Chaco ecotone; (3) the interior Dry Chaco; (4) the upper Paraguay River Basin; and (5) the Low Paraguay–Paraná River Basins. We also determined which taxa contributed to configure the AEs and CEs, the environmental variables explaining their potential distribution, the ecological niche overlap and preferences of habitat between them. Dry Interior Chaco and the Dry/Sierra Chaco ecotone included taxa sharing similar and highly overlapped niches. The remainder, located in Humid and Sierra Chaco, showed restricted and variably overlapped ecological niches, suggesting a complexity of habitats requiring further intensive sampling for conservation measures. Unweighted Pair Group Method with Arithmetic Mean (UPGMA) also recovered grouping patterns contributing to improve the regionalization of the Gran Chaco based on the exclusive species of its biota. These areas are potential biodiversity hotspots and speciation centers for the native flora in subtropical South America and can serve as tools for conservation policies, especially in Sierra Chaco and Dry Chaco.
Research on the impact of spatial and temporal changes in ecological product value in Hebei Province based on land use changes
Optimization of cashew nut shell biodiesel production with industrial waste catalysts and butanol additives for ecofriendly CRDI engine applications
Homogeneous ZnSeTeS quantum dots for efficient and stable pure-blue LEDs
Risk factors for postoperative surgical complications after inguinal lymph node dissection in penile cancer patients
Securing IIoT systems against DDoS attacks with adaptive moving target defense strategies
Illuminating the path to more equitable access to urban parks
Abstract Parks are a crucial element of urban landscapes. Understanding the role of the built environment in terms of park accessibility is vital for promoting travel equity and shaping public policies to improve access to urban parks. This study employs a geospatial artificial intelligence (GeoAI) approach to examine the impact of the built environment on park accessibility at both macro and micro levels. We find that accessibility to urban parks varies significantly across different travel modes, with walking being the least equitable due to its most clustered distribution pattern. While the macro-level built environment provides substantial explanatory power for accessibility across travel modes, our GeoAI-based analysis offers a more nuanced understanding of streetscape qualities, by closely reflecting a more realistic human perception of the built environment. These qualities - street network interconnectivity, safety, openness, spaciousness, greenery, and distinctive signage - significantly correlate with enhanced park accessibility across all travel modes, thereby complementing macro-level factors. Ultimately, this study suggests that placing emphasis on multimodal travel can enhance travel equity, thus providing the relevant authorities and policymakers with cost-effective strategies for improving park accessibility.
Fully convolutional neural networks for processing observational data from small remote solar telescopes
Fast neutron determination of bulk composition of Mn-based Heusler alloys
Membrane tubulation induced by a bacterial glycolipid
Relationship between the boson peak and first sharp diffraction peak in glasses
Abstract Boson peak (BP) dynamics refers to the universal excitation in the terahertz region of glass. In this study, the universal dynamics of BP were quantitatively evaluated in various glassy materials based on the heterogeneous elasticity theory (HET), and the determinants of BP were successfully extracted. A strong correlation was observed between the maximum possible coarse-graining wavenumber, which is a determinant of the BP in the HET, and the first sharp diffraction peak (FSDP) wavenumber, which is a characteristic index of the medium-range order in glasses. The results indicate that the behaviour of BP in glass can be quantitatively understood in the following two steps. First, the FSDP representing the largest structural correlation in glass is dominantly used to determine the unit size of the elastic modulus heterogeneity, and second, the magnitude of the elastic modulus fluctuation is used to determine the frequency and intensity of the BP.
Microstructure and properties of TC4 titanium alloy micro-arc oxide composite coating based on laser surface texturing
Abstract Micro-arc oxidation technology is one of the important means to improve the tribological properties of titanium alloys, but the bonding performance between the micro-arc oxidation film and the substrate material limits the further application of the micro-arc oxidation film. This study investigates TC4 titanium alloy as a model system, the microstructure and properties of the composite coating were obtained by laser surface texturing composite micro-arc oxidation process. The microstructure, phase composition, and worn morphology of the Micro-arc oxidation coating were characterized using X-ray diffraction, field emission scanning electron microscopy, and optical microscopy, respectively. Mechanical properties, including hardness, friction coefficient, and adhesion strength, were assessed using microhardness tester, Bruker tribometer, and micro/nano scratch tester, respectively. Results revealed that the Micro-arc oxidation coatings predominantly consist of Rutile TiO₂ and Anatase TiO₂ phases. The coating thickness in the mixed electrolyte reached up to 23.82 μm, with a maximum hardness of 467.56 HV₀.₅. Additionally, the friction coefficient of the laser-textured Micro-arc oxidation coatings decreased to 0.3. Laser surface texturing significantly enhanced the adhesion strength between the coating and substrate while simultaneously improving the tribological performance.