Identification of other components in the ACR4 signal transduction pathway in Arabidopsis thaliana

The maize CRINKLY4 (CR4) gene encodes a receptor-like serine-threonine kinase that is involved in an array of developmental processes, including cell differentiation, cell proliferation, cell fate determination and pattern formation. ACR4 contains all the features of maize CR4 and is believed to be the Arabidopsis ortholog. Yeast two-hybrid screening was used to isolate putative downstream targets of ACR4. Six proteins that interact with the cytoplasmic domain of ACR4 were identified, including a putative lipase, AJH1, AJH2, a protein phosphatase 2A (PP2A) regulatory subunit B delta, and two leucine-rich-repeat receptor-like kinases (LRR-RLKs). The interactions between these proteins and ACR4 were confirmed by in vitro pull-down assays. Substitution of a conserved Lys540 with Ala in the kinase domain of ACR4, that abolished ACR4 kinase activity, did not affect the interactions, indicating that ACR4 kinase activity was not required for these interactions. In vitro kinase assays showed that ACR4 could phosphorylate AJH1, AJH2 and the two RLKs, but not the lipase or PP2A regulatory subunit B delta. Finally, the yeast two-hybrid system was used to show that the carboxyl-terminal domain is required for the interactions between ACR4 and the lipase, AJH1 and the PP2A regulatory subunit B delta, while AJH2, and both RLKs could interact with either the kinase domain or the C-terminal domain

Herders’ Attitude and Decision Making in Stocking Rates and Implication for Grassland Management in China

Overgrazing is widely acknowledged to be the main driver of grassland degradation. Governments seeking to address the grassland degradation problem have therefore focused on policies designed to reduce overgrazing. The Chinese government has implemented a series of policies with the aim of protecting the grasslands from more serious degradation. The efficacy of these policies has been questioned given that, since their introduction, stocking rates have remained high in many affected areas. It has been suggested that the government should enhance grassland monitoring and the punishment of overgrazing. Increasing penalties would reduce stocking rates, however that is likely to cause more social and economic problems. A survey of 1588 herders found that 40% consider the government should set a grass-animal balance rule and implement it strictly, and 30% think the government should only recommend a grass-animal balance rule for herders to follow，only 30% of herders were likely to set the stocking rate by themselves. An analysis of the survey data showed that household expenditure (food, house, clothing, medical expenses) was an important driver of overgrazing. Most herders depend upon their livestock for income; only 3% have a part-time job, compared to over 30% of all Chinese farmers. On average 70% of a herders’ income comes from livestock production and around 26% comes from subsidies. The contingent model developed found that, increasing subsidies with punishment for non-compliance, should reduce stocking rates and help maintain herders’ income, but not to the level required to alleviate poverty and unsustainable. We suggest that herders need training to improve their business skills so they can move from a focus on survival to one where optimising production and better marketing, are the aims of their livestock enterprise. Demonstration farms need to be part of this training

Crop Area Estimation from UAV Transect and MSR Image Data Using Spatial Sampling Method

AbstractUsing remote sensing data to estimate crop area is efficient to a wide range of end-users, including government agencies, farmers and researchers. Moderate spatial resolution (MSR) image data are widely used to estimate crop area. But its accuracy can’t meet the demands of precision. Spatial sampling techniques integrated the strengths of remote sensing and sampling survey are being widely used. This method need large sample size which is cannot be guaranteed by remote sensing due to weather. The Unmanned Aerial Vehicle (UAV) can be used as an effective way to guarantee enough sample size. This paper proposed a spatial sampling method using MSR image classification results and UAV transects, a stratified random sampling method was proposed, area-scale (from MSR image classification) was used as auxiliary variable to guide the distribution of UAV transects, which had proved that 2% sampling ratio can make the crop area estimation accuracy more than 95% with a 95% confidence interval

Integrated microRNA, mRNA, and protein expression profiling reveals microRNA regulatory networks in rat kidney treated with a carcinogenic dose of aristolochic acid

Background: Aristolochic Acid (AA), a natural component of Aristolochia plants that is found in a variety of herbal remedies and health supplements, is classified as a Group 1 carcinogen by the International Agency for Research on Cancer. Given that microRNAs (miRNAs) are involved in cancer initiation and progression and their role remains unknown in AA-induced carcinogenesis, we examined genome-wide AA-induced dysregulation of miRNAs as well as the regulation of miRNAs on their target gene expression in rat kidney.Results: We treated rats with 10 mg/kg AA and vehicle control for 12 weeks and eight kidney samples (4 for the treatment and 4 for the control) were used for examining miRNA and mRNA expression by deep sequencing, and protein expression by proteomics. AA treatment resulted in significant differential expression of miRNAs, mRNAs and proteins as measured by both principal component analysis (PCA) and hierarchical clustering analysis (HCA). Specially, 63 miRNAs (adjusted p value  1.5), 6,794 mRNAs (adjusted p value  2.0), and 800 proteins (fold change > 2.0) were significantly altered by AA treatment. The expression of 6 selected miRNAs was validated by quantitative real-time PCR analysis. Ingenuity Pathways Analysis (IPA) showed that cancer is the top network and disease associated with those dysregulated miRNAs. To further investigate the influence of miRNAs on kidney mRNA and protein expression, we combined proteomic and transcriptomic data in conjunction with miRNA target selection as confirmed and reported in miRTarBase. In addition to translational repression and transcriptional destabilization, we also found that miRNAs and their target genes were expressed in the same direction at levels of transcription (169) or translation (227). Furthermore, we identified that up-regulation of 13 oncogenic miRNAs was associated with translational activation of 45 out of 54 cancer-related targets.Conclusions: Our findings suggest that dysregulated miRNA expression plays an important role in AA-induced carcinogenesis in rat kidney, and that the integrated approach of multiple profiling provides a new insight into a post-transcriptional regulation of miRNAs on their target repression and activation in a genome-wide scale

CHORD: Category-level Hand-held Object Reconstruction via Shape Deformation

In daily life, humans utilize hands to manipulate objects. Modeling the shape of objects that are manipulated by the hand is essential for AI to comprehend daily tasks and to learn manipulation skills. However, previous approaches have encountered difficulties in reconstructing the precise shapes of hand-held objects, primarily owing to a deficiency in prior shape knowledge and inadequate data for training. As illustrated, given a particular type of tool, such as a mug, despite its infinite variations in shape and appearance, humans have a limited number of 'effective' modes and poses for its manipulation. This can be attributed to the fact that humans have mastered the shape prior of the 'mug' category, and can quickly establish the corresponding relations between different mug instances and the prior, such as where the rim and handle are located. In light of this, we propose a new method, CHORD, for Category-level Hand-held Object Reconstruction via shape Deformation. CHORD deforms a categorical shape prior for reconstructing the intra-class objects. To ensure accurate reconstruction, we empower CHORD with three types of awareness: appearance, shape, and interacting pose. In addition, we have constructed a new dataset, COMIC, of category-level hand-object interaction. COMIC contains a rich array of object instances, materials, hand interactions, and viewing directions. Extensive evaluation shows that CHORD outperforms state-of-the-art approaches in both quantitative and qualitative measures. Code, model, and datasets are available at https://kailinli.github.io/CHORD.Comment: To be presented at ICCV 2023, Pari

Flexible graphene-coated carbon fiber veil/polydimethylsiloxane mats as electrothermal materials with rapid responsiveness

Flexible electrothermal mats with rapid responsiveness were prepared by spray-coating of graphene nanoplates (GNP) acetone dispersion on carbon fiber veil and following curing of polydimethylsiloxane (PDMS) on the mats. Morphological feature, electrical property, and electrothermal behavior of the mats with different area density from 55 to 20 g m−2 were investigated. Scanning electronic microscope (SEM) confirmed that pristine graphene nanoplates were uniformly deposited on the surface of carbon fiber resulting in volume resistance decreased substantially. Compared with the carbon fiber veil without coated GNP, the electric heating behavior of graphene-coated carbon fiber/PDMS mats were improved largely, such as the stead-state maximum temperature reached 297 °C, the maximum heating rate reached 5°Cs−1 tested by an infrared camera, the maximum power density reached 11.11 kW m−2. The respond time from room temperature 25 °C–200 °C was only 40 s tested by infrared thermal image. Even under high twisting/bending state or continuous stepwise voltage changes, the graphene-coated carbon fiber/PDMS mats retained stable electrical heating performance in aspects of temperature responsiveness and steady-state maximum temperature

Surface-enhanced Raman Spectroscopy Facilitates the Detection of Microplastics < 1 μm in the Environment

Micro- and nanoplastics are considered one of the top pollutants that threaten the environment, aquatic life and mammalian (including human) health. Unfortunately, the development of uncomplicated but reliable analytical methods that are sensitive to individual microplastic particles, with sizes smaller than 1 μm, remains incomplete. Here, we demonstrate the detection and identification of (single) micro- and nanoplastics, by using surface-enhanced Raman spectroscopy (SERS), with Klarite substrates. Klarite is an exceptional SERS substrate; it is shaped as a dense grid of inverted pyramidal cavities, made of gold. Numerical simulations demonstrate that these cavities (or pits) strongly focus incident light into intense hotspots. We show that Klarite has the potential to facilitate the detection and identification of synthesized and atmospheric/aquatic microplastic (single) particles, with sizes down to 360 nm. We find enhancement factors of up to two orders of magnitude for polystyrene analytes. In addition, we detect and identify microplastics with sizes down to 450 nm on Klarite, with samples extracted from ambient, airborne particles. Moreover, we demonstrate Raman mapping as a fast detection technique for sub-micron microplastic particles. The results show that SERS with Klarite is a facile technique that has the potential to detect and systematically measure nanoplastics in the environment. This research is an important step towards detecting nanoscale plastic particles that may cause toxic effects to mammalian and aquatic life when present in high concentrations

Impact of electrode geometry and thickness on planar on-chip microsupercapacitors

We report an assessment of the influence of both finger geometry and vertically-oriented carbon nanofiber lengths in planar micro-supercapacitors. Increasing the finger number leads to an up-scaling in areal power densities, which increases with scan rate. Growing the nanofibers longer, however, does not lead to a proportional growth in capacitance, proposedly related to limited ion penetration of the electrode