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The widespread implementation of surveillance systems on construction sites has led to the accumulation of vast amounts of visual data, highlighting the need for an effective semantic analysis methodology. Natural language, as the most intuitive mode of expression, can significantly enhance the interpretability of such data. The adoption of multi-modality models promotes the interaction between surveillance video and textual data, thereby enabling managers to swiftly comprehend on-site dynamics. This study introduces a Visual Question Answering (VQA) approach for the construction industry and presents a specialized dataset to address the unique requirements of on-site management. Utilizing a Vision Transformer (ViT) architecture, the proposed model conducts feature extraction, fusion and interaction between visual and textual features. An additional projection layer is added to establish a transfer learning strategy that is optimized for construction site data. This novel approach facilitates rapid alignment of visual and language features in the model and is validated through ablation studies. The proposed approach achieves a testing accuracy of 83.8%, effectively converting image data from construction sites into natural language descriptions that enhance the analysis of construction processes. Compared to existing methods, this approach does not rely on object detection and allows for the direct extraction of deep-level semantic information from the on-site images. This study further discusses the feasibility of applying VQA within the architecture, engineering and construction (AEC) industry, examines its limitations, and offers suggestions for viable future directions of development.

ABSTRACT The rhizosphere soil properties and microbial communities of Lilium tsingtauense, an endangered wild plant, have not been examined in previous studies. Here, we characterized spatial variation in soil properties and microbial communities in the rhizosphere of L. tsingtauense. We measured the abundance of L. tsingtauense at different altitudes and collected rhizosphere and bulk soils at three representative altitudes. The results showed that L. tsingtauense was more abundant, and the rhizosphere soil was richer in nitrogen, phosphorus, potassium, water content, and organic matter and more acidic at high altitudes than at lower altitudes. The diversity and richness of rhizosphere bacteria and fungi increased with altitude and were higher in rhizosphere soil than in bulk soil. In addition, ectomycorrhizal fungi, endophytic fungi, and nitrogen-fixing bacteria were more abundant, and plant-pathogenic fungi were less abundant at high altitudes. Co-occurrence network analysis identified four key phyla (Bacteroidota, Proteobacteria, Ascomycota, and Basidiomycota) in the microbial communities. We identified a series of microbial taxa (Acidobacteriales, Xanthobacteraceae, and Chaetomiaceae) and rhizosphere soil metabolites (phosphatidylcholine and phosphatidylserine) that are crucial for the survival of L. tsingtauense. Correlation analysis and random forest analysis showed that some environmental factors were closely related to the rhizosphere soil microbial community and played an important role in predicting the distribution and growth status of L. tsingtauense. In sum, the results of this study revealed altitudinal variation in the rhizosphere microbial communities of L. tsingtauense and the factors driving this variation. Our findings also have implications for habitat restoration and the conservation of this species.IMPORTANCEOur study highlighted the importance of the rhizosphere microbial community of the endangered plant L. tsingtauense. We found that soil pH plays an important role in the survival of L. tsingtauense. Our results demonstrated that a series of microbial taxa (Acidobacteriales, Xanthobacteraceae, Aspergillaceae, and Chaetomiaceae) and soil metabolites (phosphatidylcholine and phosphatidylserine) could be essential indicators for L. tsingtauense habitat. We also found that some environmental factors play an important role in shaping rhizosphere microbial community structure. Collectively, these results provided new insights into the altitudinal distribution of L. tsingtauense and highlight the importance of microbial communities in their growth.

Abstract In a deforming partially molten rock, melt concentrates into a grain‐scale melt pocket aligned at a preferred orientation (melt‐preferred orientation, or MPO). However, observing this texture alone provides limited information on the 3D orientation and geometry of these melt pockets, which are critical parameters for estimating permeability. Here, we modeled the MPO of experimentally deformed peridotites by simulating melt streaks arising from melt pockets of various shapes and 3D orientations. The model aims to identify 3D distribution and characteristics of melt pockets that could account for the observed length, thickness, and the probability of melt streaks. Results show that melt pockets at preferred orientation exhibit greater length, thickness, and number density compared to those perpendicular. These results can be incorporated into the simulation of melt flow through individual melt pockets, which allows us to estimate the permeability corresponding to the observed MPO. We found that the permeability of vertically compressed peridotites increases with increasing compressive strain and a more elongated and thickened shape for melt pocket aligned at preferred orientation. The vertical permeability in the sample with 30% compressive strain is at least 40 times larger than that of an undeformed sample. For peridotites deformed under simple shear, the permeability exhibits an anisotropy of at least three. Such anisotropic permeability, coupled with the formation of melt‐rich bands and other melt channels, is believed to cause lateral melt focusing beneath mid‐ocean ridges.

Abstract Plant Myeloblastosis (MYB) proteins function crucially roles upon variegated abiotic stresses. Nonetheless, their effects and mechanisms in rose (Rosa chinensis) are not fully clarified. In this study, we characterized the effects of rose RcMYB8 under salt and drought tolerances. For induction of the RcMYB8 expression, NaCl and drought stress treatment were adopted. Rose plants overexpressing RcMYB8 displayed enhanced tolerance to salinity and drought stress, while silencing RcMYB8 resulted in decreased tolerance, as evidenced by lowered intra-leaf electrolyte leakage and callose deposition, as well as photosynthetic sustainment under stressed conditions. Here, we further show that RcMYB8 binds similarly to the promoters of RcPR5/1 and RcP5C51 in vivo and in vitro. Inhibiting RcP5CS1 by virus-induced gene silencing led to decreased drought tolerance through the reactive oxygen species (ROS) homeostatic regulation. RcP5CS1-silenced plants showed an increase in ion leakage and reduce of proline content, together with the content of malondialdehyde (MDA) increased, lowered activities of Catalase (CAT), peroxidase (POD) and superoxide dismutase (SOD). Our study highlights the transcriptional modulator role of RcMYB8 in drought and salinity tolerances, which bridges RcPR5/1 and RcP5CS1 by promoting ROS scavenging. Besides, it is probably applicable to the rose plant engineering for enhancing their abiotic stress tolerances. Graphical Abstract

Trace element zoning is often used to unravel the crystallization history of phenocrysts in magmatic systems, but interpretation requires quantifying the relative importance of equilibrium versus disequilibrium. Published partition coefficients for phosphorous (P) in olivine vary by more than a factor of ten. After considering kinetic effects, a new equilibrium partition coefficient was extrapolated from a re-examination of natural and experimental systems, indicating that P partition coefficients in olivine are significantly over-estimated. These new partitioning constraints allow us to establish a theoretical P Equilibrium Fractionation Array (PEFA) for mid-ocean ridge basalts (MORBs), revealing that most olivines from MORBs have excess P (2–15 times PEFA) and are thus in disequilibrium. Using an independent case study of natural dendritic olivines, we show that such P enrichments can be explained by diffusion-limited incorporation of P during rapid crystal growth. If growth rate can be related to cooling, the rapid growth rates of olivines have implications for magma system dynamics, such as the size of magma bodies or where crystallization occurs within the body.

Mobile emergency generators(MEGs) can accelerate disaster recovery and enhance the resiliency of the distribution system (SD). However, the resilience-oriented planning of MEGs has not been fully investigated. This paper proposes a method to achieve the resilience-oriented optimal plan of different kinds of MEGs via a two-stage stochastic optimization model. In the first stage, DS operators invest in various types of MEGs and allocate them in the second stage according to the line damage situation. A distributionally robust model based on confidence sets is used to reduce the number of scenario samples. The proposed model is transformed into a second-order cone program that commercial solvers can solve after convex relaxation. The case studies of a 33-bus test system demonstrate the effectiveness of the proposed method for scenario reduction and optimization of MEGs investment and allocation strategy.

This paper presents the possibility of forming a pressed joint between two 1.5 mm thick sheets made of HX340 steel. The joint was formed using an additional deformable steel rivet with a hardness of 400HV1. Different distances of rivet pressing below the initial surface of the upper sheet were chosen: 0, 0.15, 0.30, 0.45 and 0.60 (in mm). For the mentioned rivet-pressing distances, forming tests were performed using an "SKB" die with three die depths: 1.45, 1.60 and 1.75 (in mm). Observations and measurements of the characteristic geometric dimensions of the interlock were made. Furthermore, the strength of the clinch-riveted joints was analysed. Changing the depth of the die by 20%, i.e., from h d = 1.45 mm to h d = 1.75 mm for the same rivet press-in depth ( o f = 0%), resulted in a 12% reduction in the forming-force value. The maximum load capacity of the joint in the shear test decreased by 3.5% for the mentioned joint variant. The greater the rivet press-in depth used in the joint ( o f ), the greater the value of the interlock size ( t u ). Increasing the value of rivet-pressing depth below the initial surface of the upper sheet from 0 mm to 0.6 mm resulted in an increase in the size of the interlock ( t u ) by 136% (for h d = 1.45 mm), by 128% (for h d = 1.60 mm) and by 85% (for h d = 1.75 mm).

Background: Amantadine has been proposed as a treatment for COVID-19 because it shows anti-SARS-CoV-2 activity in vitro. However, to date, no controlled study has assessed the safety and efficacy of amantadine in COVID-19., Research Question: Whether amantadine is effective and safe among patients with different COVID-19 severity classifications., Study Design: and Methods: This was multi-centre, randomised, placebo-controlled study.Patients with oxygen saturation ≤94% and no need for high-flow oxygen or ventilatory support were randomly allocated to receive oral amantadine or placebo (1:1) for 10 days in addition to standard care. The primary endpoint was time to recovery assessed over 28 days since randomisation, defined as discharge from hospital or no need for supplemental oxygen., Results: The study was terminated early due to a lack of efficacy after an interim analysis. Final data from 95 patients who received amantadine (mean age, 60.2 years; 65% male; 66% with comorbidities) and 91 patients who received placebo (mean age, 55.8 years; 60% male; 68% with comorbidities) were obtained. The median (95% CI) time to recovery was 10 days both in the amantadine (9-11) and placebo arms (8-11; subhazard ratio = 0.94 [95%CI 0.7-1.3]). The percentage of deaths and percentage of patients who required intensive care at 14 and 28 days did not significantly differ between the amantadine and placebo groups., Interpretation: Adding amantadine to standard care in patients hospitalised with COVID-19 did not increase the likelihood of recovery., Clinical Trial Registration: ClinicalTrials.gov; No.: NCT04952519; www., Clinicaltrials: gov., (Copyright © 2023. Published by Elsevier Ltd.)