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Functional textiles with antibacterial properties and UV protection are essential for human health. However, the process of functional modification of textiles is usually done with the help of chemical cross-linking agents to improve the bonding fastness of functional finishing agents on textiles. The use of chemical cross-linking agents is not eco-friendly enough and is prone to chemical waste. In this study, some highly reactive polyamine biomolecules were combined with dopamine quinone, a super adhesive bionic material, to spontaneously construct amino-quinone networks (AQNs) coatings on the surface of cotton fabrics without the addition of chemical crosslinkers. The amino/quinone compounds (A/Q) self-crosslinking reaction is achieved by Michael addition and Schiff base reaction between the quinone group in dopamine quinone and the amino group in chitosan (CTS), chitooligosaccharide (COS) or ԑ-polylysine (ԑ-PL). The combination of polyamines and dopamine quinone during the cotton finishing process imparts antibacterial and UV protection to cotton fabric. The results showed that the AQNs coating modified fabrics had superb UV protection and antibacterial rates of over 96% against both E. coli and S. aureus. In addition, the AQNs coating modified fabrics had good resistance to washing and mechanical abrasion. This study proposes that self-assembled amino-quinone network multifunctional coatings of dopamine quinone and polyamine biomolecules are of guiding significance for the development of environmentally friendly bio-based materials.

Two new compounds named epipaxilline (1) and penerpene J (2) were isolated from the marine-derived fungus Penicillium sp. KFD28. Their structures including absolute configurations were determined o...

Mycoplasma bovis is an important cause of bovine mastitis in China and worldwide. We hypothesized that M. bovis damages bovine mammary epithelial cells (bMEC), with the degree of damage varying among field isolates. Our objective was to evaluate 2 novel sequence type (ST) field strains of M. bovis (ST172 and ST173) for their ability to induce oxidative stress, cytotoxicity, pathomorphological changes, and apoptosis in bMEC, as a model for pathogenesis of M. bovis-induced bovine mastitis. Cytotoxicity (as indicated by release of lactate dehydrogenase, LDH) from bMEC depended on multiplicity of infection (MOI), with a high MOI (1:1,000) being required to induce cytotoxicity. Morphological changes in bMEC, including shrinkage, loss of cell integrity, and heavy staining (hematoxylin and eosin) of cytoplasm were apparent 24 h after infection with ST172 or ST173 M. bovis, with more severe changes being induced by the latter strain. Adhesion and invasion assays both had curvilinear patterns, peaking 12 h after infection with MOI of 1:1,000. Both production of reactive oxygen species (ROS) and proportion of apoptotic cells increased with time after infection. Increased Bax/Bcl-2 ratios and activation of caspase-3 implied involvement of mitochondria-dependent pathways of apoptosis. Furthermore, intracellular ROS generation, apoptosis, and cleaved caspase-3 were mitigated by N-acetyl- l -cysteine, a ROS scavenger. Both interleukin (IL)-1β and IL-6 were significantly upregulated by ST172 and ST173 M. bovis, with little change in expression of tumor necrosis factor-α. One ST173 M. bovis isolate had the greatest cytotoxicity of all of our field isolates, with the highest LDH release, adhesion, invasion, ROS production, and apoptosis. In conclusion, our hypothesis was supported: M. bovis damaged bMEC by generating ROS and initiating a mitochondria-dependent pathway of apoptosis, with the degree of damage varying among field isolates. This study provided new knowledge regarding pathogenesis of M. bovis-induced bovine mastitis.

Scale variation is one of the major challenges in object detection task. Modern region-based object detection architectures often adopt Feature Pyramid Network (FPN) as feature extraction neck to achieve multi-scale feature representation in solving scale variation problem. However, due to the rough feature selection strategy in Region of Interest (RoI) feature extraction step, these methods might not perform well on object detection under strong scale variation. In this work, we are motivated by the limitations of current FPN-based two-stage object detectors and then present a novel module, namely scale-aware feature selective (SAFS) module, that flexibly and adaptively selects feature levels in two-stage object detectors. Specifically, we firstly build the RoI Pyramid in standard FPN structure to extract RoI features from various scale levels. Next, in order to achieve scale-aware mechanism for solving scale variation issue, we develop a novel weighting gate function containing one set of trainable parameters to automatically learn the fusion weight for each RoI feature level, which relieves the limitation of hard feature selection strategy guided by online instance size. Outputs from the RoI features with the learned weights are fused for classification and bounding box regression. Furthermore, we design a multi-level SAFS architecture to obtain different types of RoI feature combinations that ensures our method is more robust to various instance scales. Experimental results show that our SAFS module is very compatible with most of two-stage object detectors and could achieve state-of-the-art results with Average Precision of 48.3 on COCO test-dev and other popular object detection benchmarks. Our code will be made publicly available.

The composite material composed of zinc sulfide, copper sulfide and porous carbon is prepared in this study, exhibiting excellent performances in the field of supercapacitor electrode and photocatalysts. In the degradation process of organic pollutants, zinc sulfide/copper sulfide with heterostructure effectively reduce the recombination rate of photo-generated electron-hole pairs. And the porous carbon substrate can not only accelerate the separation of photo-carriers but also provide numerous active sites. Furthermore, the sample can be easily separated after decomposing the organic pollutants. As a supercapacitor electrode, the combination of zinc sulfide/copper sulfide with large pseudo-capacitance and porous carbon material with excellent double-layer capacitance results in superior electrochemical performances. The composite electrode shows a high specific capacitance of 1925 mF cm−2/0.53 mAh cm−2 at 4 mA cm−2. And the symmetric flexible supercapacitor based on the composite electrode achieves an outstanding energy density (0.39 Wh cm−2 at the power density of 4.32 W cm−2). Therefore, the zinc sulfide/copper sulfide/porous carbonized cotton nanocomposites (pCZCS) prepared herein exhibit dual functions of photocatalysts with high efficiency as well as energy storage materials with high energy density, which is interesting and important for expanding the practical applications in cross fields.

The newly developed functional metal-organic frameworks (MOFs) materials have become the hotspot in recent years. In this study, NH2-UiO-66-d (NU66-d) with heterogeneous pores was synthesized according to the silver-catalyzed decarboxylation approach. Thereafter, the as-obtained NU66-d was combined with flower-like ZnIn2S4 (ZIS) microspheres to acquire the NU66-d/ZIS composites through the in-situ growth method. Particularly, the heterogeneous pores in NU66-d were confirmed by the N2 adsorption-desorption isotherms and the transmission electron microscopy (TEM) images. As suggested by our results, compared with NU66, NU66-d with superior optical property was able to effectively accelerate the transfer of photogenerated charge carriers. Moreover, results of photocatalytic H2 evolution activities of the as-prepared samples showed that, the greatest photocatalytic hydrogen evolution rate of NU66-d/ZIS-30 composites reached 7.3 mmol h−1 g−1, which was about twice as high as that of the pure ZIS. Besides, the photocatalytic mechanism of NU66-d/ZIS in H2 production was also reasonably speculated.

A series of morphology-controlled BiOBr nano/macrostructures was successfully synthesized via a novel biomass-route derived from bacterial cellulose (BC). In the BiOBr/BC system compared with pure BiOBr, the three-dimensional BC scaffolds not only effectively prevented the aggregation of BiOBr units by pore confinement, but also strengthened the controllability of BiOBr size with the help of abundant anchoring sites provided by cross-linked BC fibers. By associating the results of characterizations and the photodegradation of RhB dye, the relationship between morphology and photocatalytic activity of BiOBr/BC was investigated. In addition, a possible mechanism for the enhanced photocatalytic activity of the optimized BiOBr/BC has been discussed. This biomass-derived route provides a platform for further design of bismuth-based composite photocatalysts with potential advantages of being anti-aggregation, highly-dispersed, easily recovered and having enhanced catalytic performance.

Novel Z-scheme-based BiVO4/CdS photocatalysts with efficient charge separation were prepared by simple in situ hydrothermal method. The compact structure of the CdS nanorod and BiVO4 nanosheet has formed a Z-scheme heterojunction. The as-prepared BiVO4/CdS composites were characterized by X-ray diffraction, scanning electron microscopy, transmission electron microscopy, Raman spectroscopy, diffuse reflection spectroscopy, photoluminescence and photocurrent techniques. It was found that the BiVO4/CdS composites had the light-absorbing range and could efficiently degrade malachite green dye under visible-light irradiation. In this report, the result of the best degrading sample could achieve 92% in 30 min under visible light, respectively. BiVO4/CdS composites perform photocatalytic efficiently due to the Z-scheme. Furthermore, the Z-scheme-based BiVO4/CdS composites leaded to a major oxidation site at BiVO4, which successfully avoided photoetching of CdS during photocatalysis. Especially, the BiVO4/CdS system exhibits great photogenerated electron–hole pairs separation capabilities and high redox capabilities. This unique method of synthesizing Z-scheme-based BiVO4/CdS heterojunction has ability to reduce the cost and promote photocatalytic in visible-light range simultaneously.

This Research Reflection short review presents an overview of the effects of heat stress on dairy cattle udder health and discusses existing heat stress mitigation strategies for a better understanding and identification of appropriate abatement plans for future stress management. Due to high ambient temperatures with high relative humidity in summer, dairy cows respond by changes of physical, biochemical and biological pathways to neutralize heat stress resulting in decreased production performance and poorer immunity resulting in an increased incidence of intramammary infections (IMI) and a higher somatic cell count (SCC). In vitro studies on bovine polymorphonuclear cells (PMN) suggested that heat stress reduces the phagocytosis capacity and oxidative burst of PMN and alters the expression of apoptotic genes and miRNA which, together with having a negative effect on the immune system, may explain the increased susceptibility to IMI. Although there are limited data regarding the incidence rate of clinical mastitis in many countries or regions, knowledge of SCC at the cow or bulk tank level helps encourage farmers to improve herd health and to develop strategies for infection prevention and cure. Therefore, more research into bulk tank SCC and clinical mastitis rates is needed to explain the effect of heat stress on dairy cow udder health and functions that could be influenced by abatement plans.

The acrylic adhesives with the flame-retardant property are necessary to meet the safety requirement in electrostatic flocking. In this study, acrylic emulsion chemically modified with phosphorus and silicone, PSE, with core–shell structure, was synthesized by introducing the vinyl silicone oil and phosphor-containing monomer (PAM-100) onto the molecular chain of acrylic ester polymer in the core and shell layer, respectively. Subsequently, the silicone-acrylic adhesive with flame retardation (FR-SA) was prepared by mixing PSE with inorganic flame-retardant, Al(OH)3. The acrylic adhesive obtains the excellent flame retardation under a low addition of Al(OH)3 when the ratio of PAM-100 is 5%, while the commercial adhesive needs a high addition of the inorganic flame retardant to realize the satisfactory performance. FR-SA in this work has a great potential application as intrinsically flame-retardant electrostatic flocking adhesive.

An experimental study and theoretical calculations of the flexural behaviour of segmental prestressed composite beams with corrugated steel webs are presented. Four specimens (one monolithic and three segmental beams) are tested. Based on the experiments, the flexural strength of the segmental beams is found to be approximately 0·75 of that of the monolithic beam, and the joint types of CSWs are found to have a little effect on the load-bearing capacity of the segmental beams. Moreover, the load-bearing capacity of the segmental beams is found to maximise by increasing the ratio of internal tendons in the bottom concrete flange to external tendons. Specifically, by increasing the ratio from 2:0:4 to 2:2:2, a 31% increase in the load-bearing capacity has been gained. Additionally, it has been found that the quasi-plane assumption is valid for the segmental beams with CSWs within the elastic range. Finally, a theory-based method for calculating the flexural bearing moment of segmental beams with CSWs is presented by considering the effect of the stress increment of the prestressed tendons.

A series of thickness-controlled SrTiO3 (commonly abbreviated ST) anchored on carbonized bacterial cellulose (CBC) was successfully prepared by a novel route of freeze-drying assisted crystallization/carbonization. For the first time, the cross-linked bacterial cellulose served as a carbon source as well as structure-directing scaffold for the construction of ST/CBC composites. Characterizations exhibited cracks and defects on the surface of CBC which provided ideal anchoring sites for the dispersion and crystallization of ST. Additionally, the relationship between morphology and photocatalytic activity of ST/CBC was carefully investigated by photocatalytic reduction of potassium dichromate (K2Cr2O7) and degradation of tetracycline in water. This unique biomass-derived carbon fibers provide an ideal platform for further design of perovskite based materials with enhanced catalytic performance.

Wide spectral responsive photocatalysts are of great importance for making full use of solar energy and broad application in highly efficient photocatalytic wastewater treatment, production of H2O2, etc. Thereinto, it is significative to open an appropriate way to extend the absorption to the NIR region, in which it accounts for ~ 49% in the solar spectrum. In this work, we synthesized successfully the new-style NaYF4:Yb3+, Er3+/Ag2CrO4 photocatalyst via the hydrothermal and followed precipitation method, and it exhibited the more excellent photocatalytic performances than Ag2CrO4 for the photocatalytic H2O2 production and disposals of pollutants, such as methyl orange (MO), methylene blue (MB), rhodamine B (RhB) and tetracycline (TCs). The morphological, structural and optical behavior were investigated by XRD, SEM, N2 adsorption/desorption, TEM, XPS, UV–Vis DRS, UC luminescence and photoelectrochemical experiments. It revealed that NaYF4:Yb3+, Er3+/Ag2CrO4 photocatalyst presented stronger absorptive capacity in the visible–NIR region by the benign fluorescence resonance energy transfer (NaYF4:Yb3+, Er3+ can convert near-infrared light to visible light via upconversion process), and showed more efficient charge transfer and separation than that of pure Ag2CrO4. The primary reactive species of ·O2− and h+ by the trapping experiments played a considerable important role in the photocatalytic process. A promising potent system was suggested for the highly efficient utilization of sunlight in the enhancement of photocatalytic activities.

A novel tert-butyl hydroperoxide tetrasubstituted cobalt phthalocyanine (CoPc(OC10H14N)4) was synthesized by the classical phthalonitrile method. Subsequently, the cobalt phthalocyanine (CoPc) was ...

It was found that additional shear stress arising from the bending moment should be involved in the formulation due to the effect of variable cross section, which is quite different from the conventional method of analysis for the prismatic members. This paper focuses on the analytical formulation, properties and distribution regularity of the shear stress for the elastic tapered beams with rectangular cross-section. Currently, an analytical expression for the shear stress in elastic tapered beams is derived theoretically based on the theory of elasticity. Most notably, it is strictly proved in mathematics that the additional shear stresses arising from bending moment are self-balanced which only change the distribution of shear stress in the section but will not affect the shear stress resultant. This new finding will be beneficial to promoting the development and consummation of non-prismatic beam theory. The correctness of the theoretical formula have been verified through comparisons with finite element (FE) results of two groups with a total of 12 three-dimensional FE models. The validity of self-balanced properties of additional shear stress in tapered beams under pure bending is additionally verified by using Free Body Cuts in ABAQUS program.

Background Seashore paspalum (Paspalum vaginatum), a halophytic warm-seasoned perennial grass, is tolerant of many environmental stresses, especially salt stress. To investigate molecular mechanisms underlying salinity tolerance in seashore paspalum, physiological characteristics and global transcription profiles of highly (Supreme) and moderately (Parish) salinity-tolerant cultivars under normal and salt stressed conditions were analyzed. Results Physiological characterization comparing highly (Supreme) and moderately (Parish) salinity-tolerant cultivars revealed that Supreme’s higher salinity tolerance is associated with higher Na+ and Ca2+ accumulation under normal conditions and further increase of Na+ under salt-treated conditions (400 mM NaCl), possibly by vacuolar sequestration. Moreover, K+ retention under salt treatment occurs in both cultivars, suggesting that it may be a conserved mechanism for prevention of Na+ toxicity. We sequenced the transcriptome of the two cultivars under both normal and salt-treated conditions (400 mM NaCl) using RNA-seq. De novo assembly of about 153 million high-quality reads and identification of Open Reading Frames (ORFs) uncovered a total of 82,608 non-redundant unigenes, of which 3250 genes were identified as transcription factors (TFs). Gene Ontology (GO) annotation revealed the presence of genes involved in diverse cellular processes in seashore paspalum’s transcriptome. Differential expression analysis identified a total of 828 and 2222 genes that are responsive to high salinity for Supreme and Parish, respectively. “Oxidation-reduction process” and “nucleic acid binding” are significantly enriched GOs among differentially expressed genes in both cultivars under salt treatment. Interestingly, compared to Parish, a number of salt stress induced transcription factors are enriched and show higher abundance in Supreme under normal conditions, possibly due to enhanced Ca2+ signaling transduction out of Na+ accumulation, which may be another contributor to Supreme’s higher salinity tolerance. Conclusion Physiological and transcriptome analyses of seashore paspalum reveal major molecular underpinnings contributing to plant response to salt stress in this halophytic warm-seasoned perennial grass. The data obtained provide valuable molecular resources for functional studies and developing strategies to engineer plant salinity tolerance.

In recent years, the frequent emission of oily wastewater and marine oil spills has resulted in water bodies containing large amounts of light oil/water/heavy oil mixtures. The increasing pollution of the water prompts us to develop new materials that can separate oil and water effectively. In this work, a mixed special wettability fabric based on the backed weave organization is prepared by using different yarns with special infiltration properties. The mixed special wettability fabric can separate the light oil/water/heavy oil three-phase mixtures successfully in one step, due to the effect of gravity-driven and capillary force-driven. Under the optimal process with the reed number of the fabric 84#, the separation efficiency of water can reach 98.36%, and the average separation flux is 0.447 L/m2 s. In addition, the mixed special wettability fabric shows a good recycling, as well as structural stability, which is good for the application in practical oil–water separation.

With the acceleration of the Internet of things (IoT) construction, the security and energy consumption of IoT will become an import factor restricting the overall development of the IoT. In order to reduce the energy consumption of the IoT heterogeneous perceptual network in the attack-defense process, the placement strategy of the intrusion detection system (IDS) described in this paper is to place the IDS on the cluster head nodes selected by the clustering algorithm called ULEACH, which we have proposed in this paper. By optimizing the calculation of the node threshold, the ULEACH clustering algorithm will comprehensively consider the heterogeneity of the perceptual nodes and take the residual energy, energy consumption rate, and overall performance of the nodes into account. As a result, the strategy improves the utilization of the nodes to enhance the performance of heterogeneous perceptual network and extend the lifetime of the system. Furthermore, the paper proposes a intrusion detection system framework and establishes dynamic intrusion detection model for IoT heterogeneous perceptual network based on game theory, by applying modified particle swarm optimization, the optimal defense strategy that could balance the detection efficiency and energy consumption of the system is obtained. Finally, the experiment results show that proposed strategy not only effectively detects multiple network attacks, but also reduces energy consumption.

Voice authentication is becoming increasingly popular, which offers potential benefits over knowledge and possession based authentication methods. Meanwhile, the unique features of lip movements during speaking have been proved to be useful for authentication. However, the unimodal biometric authentication systems based on either voice or lip movements have certain limitations. Voice authentication systems are prone to spoofing attacks and suffer from serious performance degradation in noisy environments. Lip movements authentication systems are unstable and are sensitive to the user’s physical and psychological conditions. In this paper, we propose and implement LVID, a multimodal biometrics authentication system on smartphones, which resolves the defects of the original systems by combining the advantages of lip movements and voice. LVID simultaneously captures these two biometrics with the built-in audio devices on smartphones and fuses them at the data level. The reliable and effective features are then extracted from the fused data for authentication. LVID is practical as it requires neither cumbersome operations nor additional hardwares but only a speaker and a microphone that are commonly available on smartphones. Our experimental results with 104 participants show that LVID can achieve 95% accuracy for user authentication, and 93.47% of the attacks can be detected. It is also verified that LVID works well with different smartphones and is robust to different smartphone positions.

The design and fabrication of heterojunctions has been proven to be a facile method for improving photocatalytic performance. Herein, in this work, a high performance photocatalyst based on AgVO3/LaVO4 was successfully synthesized via a one-step in situ hydrothermal method. X-ray diffraction (XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray photoelectron spectroscopy (XPS), Fourier transform infrared spectroscopy (FT-IR) and photoluminescence (PL) spectra were used to characterize the structural and physicochemical characteristics. AgVO3/LaVO4 composites exhibited enhanced photocatalytic activity for the disposal of simulated pollutants (66% and 36% degradation rates for methyl orange and acid orange II) and superior photoelectrocatalytic oxidation of methanol compared with noble metal (Au, Ag and Pt) supported LaVO4 and bare LaVO4 photocatalysts (a lower Tafel slope of 24 mV dec−1 and a higher peak current density of 0.22 mA cm−2 over 2% β-AgVO3/LaVO4). This could be due to the introduction of β-AgVO3 in the form of phase junctions, leading to enhanced light harvesting and the promoted separation and transfer of photogenerated electrons/holes pairs, which was proved using ultraviolet-visible diffuse reflectance spectra (UV-Vis DRS), and photoelectrochemical and time-resolved PL measurements. Density functional theory (DFT) calculations revealed that the interaction of β-AgVO3 and LaVO4 would enhance the optical absorption and electron transfer.

Flexible energy storage electrodes with high conductivity and capacity are crucial for wearable electronic clothes. Herein, a flexible hierarchical Ni(OH)2/Cu(OH)2 interwoven nanosheets in situ coated on Ni–Cu–P alloy plated cotton fabric textile (NCO/CF), which displays perfect conductive and electrochemical performance, is prepared by electroless deposition and electrochemical oxidation method. While the Ni–Cu–P alloy layer coated on the fabric effectively contributes to excellent mechanical performance and electro-conductivity of the as-prepared NCO/CF electrode, the hierarchical Ni(OH)2/Cu(OH)2 interwoven nanosheets in the oxidation layer effectively lead to a high energy storage performance with a specific areal capacity of 4.7 C cm−2 at a current density of 2 mA cm−2. When the power density of the two-electrode system based on NCO/CF and the carbon cloth (CC) is 2.4 mW cm−2, the energy density is 1.38 mW h cm−2. Furthermore, the flexible solid-state energy storage f-NCO/CF//CC is assembled in a self-powered system and supplies continuous power for electronic devices, demonstrating that NCO/CF is promising to be applied in various energy storage devices to power portable and wearable devices in the future.

Paclitaxel (PTX) is a broad-spectrum chemotherapy drug employed in the treatment of a variety of tumors. However, the clinical applications of PTX are limited by its poor water solubility. Adjuvants are widely used to overcome this issue. However, these adjuvants often have side effects and poor biodistribution. The smart drug delivery system is a promising strategy for the improvement of solubility, permeability, and stability of drugs, and can promote sustained controlled release, increasing therapeutic efficacy and reducing side effects. Polymeric prodrugs show great advantages for drug delivery due to their high drug loading and stability. There has been some groundbreaking work in the development of PTX-based stimulus-sensitive polymeric prodrug micelles, which is summarized in this study. We consider these in terms of the four main types of stimulus (pH, reduction, enzyme, and reactive oxygen species (ROS)). The design, synthesis, and biomedical applications of stimulus-responsive polymeric prodrugs of PTX are reviewed, and the current research results and future directions of the field are summarized.

Gobiocypris rarus is sensitive to environmental pollution, especially to heavy metal and grass carp reovirus (GCRV). Hence, it has potential utility as a biological monitor. Genetic deciphering of its unique immune system will advance our understanding of its unique adaptive strategies, which provide cues for its better application. A de novo genome of rare minnow was obtained, and its sex determination mechanism is ZZ/ZW. We identified several specific mutation genes and specific lost genes of rare minnow, and these might be related to the sensitivity of rare minnow to environmental stimuli. We also analyzed the gene expression level of different organs/tissues and found that several IFIT genes may play key roles in GCRV resistance. In addition, knockout of the gene PCDH10L indicates that PCDH10L affects Pb 2+ -induced mortality in rare minnow. Rare minnow is ready for genetic manipulation and shows potential as an emerging experimental model.

SMC (structural maintenance of chromosomes) complexes share conserved architectures and function in chromosome maintenance via an unknown mechanism. Here we have used single-molecule techniques to study MukBEF, the SMC complex in

Hierarchically structured chiral luminescent materials hold promise for achieving efficient circularly polarized luminescence. However, a feasible chemical route to fabricate hierarchically structured chiral luminescent polycrystals is still elusive because of their complex structures and complicated formation process. We here report a biomimetic non-classical crystallization (BNCC) strategy for preparing efficient hierarchically structured chiral luminescent polycrystals using well-designed highly luminescent homochiral copper(I)-iodide hybrid clusters as basic units for biomimetic crystallization. By monitoring the crystallization process, we unravel the BNCC mechanism, which involves crystal nucleation, nanoparticles aggregation, oriented attachment, and mesoscopic transformation processes. We finally obtain the circularly polarized phosphors with both high luminescent efficiency (32%) and high luminescent dissymmetry factor (1.5 × 10-2), achieving the first demonstration of a circularly polarized phosphor converted light emitting diode with a polarization degree of 1.84% at room temperature. Our designed BNCC strategy provides a simple, reliable and large-scale synthetic route for preparing bright circularly polarized phosphors.

Prediction of seed vigor based on hyperspectral peant. The traditional method is time-consuming and laborious to detect seed vigor. At the same time, the accuracy of the detection result is not high, and it will cause damage to the seed itself. Therefore, in order to achieve rapid and non-destructive detection of peanut seed vigor, the test was performed with original health, artificial aging for 24h and Peanut seeds with different vigor gradients at 72 hours were used as the research samples. Hyperspectral images with a wavelength range of 387~1035 nm were collected, and the image of the central part of the peanut seeds with a pixel size of 60 × 60 after correction was intercepted and the average reflectance value was calculated. After a combination of processing analysis, characteristic band processing, and model selection, a hyperspectral prediction system with the highest correlation to the viability of extracted peanut seeds was finally established. Experiments shown that the combination of hyperspectral imaging technology and the MF-LightGBM-RF model had the best performance, with a prediction accuracy of 92.59% and a fitting time of 1.77s, which simplifies the model and improves efficiency.

The oxidative mineralization of sulfanilamide drugs (SAs) using micro-size zero-valent iron (mZVI) cooperated with a citric acid buffer solution was evaluated. In this study SM2, SMX, and SD could be removed at 66%, 89%, and 83%, respectively, in a 0.5% Bi/mZVI+CA+NaCA system within 2 h. Based on our analysis, the produced ·OH could be ascribed from the complexation between citrate iron (Fe(II)[Cit]−) and the generated H2O2 resulting from the activation of O2 on the mZVI surface in the Bi/mZVI+CA+NaCA system, further inducing the mineralization of antibiotics. The related possible degradation pathways were proposed. Two similar degradation pathways of SM2, SMX, and SD in the mixed liquid, including hydroxylation and SO2 extrusion, were solved. Meanwhile, there was an additional proposed degradation pathway for SMX to be degraded more effectively, as reflected in the opening of the N-O bond on the benzene ring. Therefore, this work provides an experimental basis and theoretical support for the efficient treatment of antibiotic wastewater in real industry by using an iron-based method.

Peanut storage time affected the quality of peanut seed sowing and germination and also affected the taste of edible peanuts. With the increase of peanut storage time, the total amount of water and amino acids decreased, and peanuts appeared moldy. The artificial judgment of peanut storage time mostly relied on visual classification to evaluate the color, which leads to large differences in color classifications between observers. This research was conducted to determine the fresh state of peanuts during storage based on the hyperspectral imaging (HSI) technology, and to identify the storage time of peanuts through hyperspectral images (387~1035 nm). Three models, two preprocessing methods, and two feature band extraction methods were combined. The experimental results shows that the DT-MF-Catboost model was the best method to detect the storage time of peanuts, and its accuracy of identifying the storage time of peanuts was 97.53%. Studies have shown that HSI has great potential in classifying the freshness and identification of peanuts, and provides a basis for non-destructive testing classification as well as grading of peanuts during storage.

The classification algorithms of different peanut varieties were studied based on hyperspectral imaging technology. Firstly, the spectral images of five peanut species were collected by hyperspectral instrument produced by Zhuolihanguang Co., LTD. Then SpacVIEW was used to correct the spectral images in black and white, and ENVI5.1 was used to extract the interest in the spectral image of each peanut and calculate the mean spectral reflection value of the region. The spectral characteristic curves of the five peanut samples all showed certain differences, which lays a foundation for the feasibility of modeling in the next step. In order to eliminate the influence of non-quality factor information in hyperspectral spectral data, a variety of data preprocessing methods were used to eliminate noise in the original spectral data, and XGBoost, LightGBM, CatBoost and GBDT algorithms were used to extract feature bands. XGBoost and LightGBM were then used for classification modeling of extracted feature bands. In the classification model, both XGBoost and LightGBM can reach 99.33%, while other performance evaluation indexes cannot distinguish these two models well. Therefore, Optuna algorithm was selected to optimize the two algorithms respectively. After optimization, both LightGBM and XGBoost have improved to varying degrees, but LightGBM is relatively obvious, especially in fit_time, which is 11 times faster than XGBoost and 16 times faster than before optimization. Therefore, the best classification algorithm selected in this study is MF-LightGBM-LightGBM-Optuna-LightGBM. The research of peanut classification method provides a strong theoretical basis and technical support for the revitalization of rural industry, the integration of peanut agriculture and industry and the acceleration of the modernization of agricultural industry system, production system and management system.

This article performed a model of osteoporosis rats using the method of ovariectomy and observed efficacy of Tianchang Capsule on treatment of osteoporosis rats. Comparing the effect with positive drug to explore the mechanism of Tianchang Capsule in postmenopausal osteoporosis. Female SD rats were randomly assigned to 6 groups (10 in each group): control (sham-treated), OVX (by ovariectomy), OVX+AL (by ovariectomy, received alendronate sodium), OVX+LTC (by ovariectomy, received low dosage Tianchang Capsule), OVX+MTC (by ovariectomy, received middle dosage Tianchang Capsule), OVX+HTC (by ovariectomy, received high dosage Tianchang Capsule). After ovariectomy operation, alendronate or Tian Chang capsule were given for 12 weeks. Bone metabolism was measured by bone mineral density (BMD). With 12-week treatment, BMD reduced in OVX group, in bone formation and resorption parameters increased however, pathological sections indicated destruction of trabecular bone structure in the meanwhile (P < 0.05 or P < 0.01). In alendronate sodium and Tianchang Capsule treatments groups, comparing with control, both treatments significantly increased BMD level and improved the trabecular bone tissue damage, also inhibit excessive actively bone resorption and bone formation (P < 0.05 or P < 0.01). Tianchang Capsule were used as good natural drugs for the treatment of ovariectomy induced osteoporosis rats, by increasing bone mineral density, bone formation and bone resorption.

Hydroxyl-α-sanshool is the main alkylamide produced by Zanthoxylum armatum DC., and it is responsible for numbness after consuming Z. armatum-flavored dishes or food products. The present study deals with the isolation, enrichment, and purification of hydroxyl-α-sanshool. The results indicated that the powder of Z. armatum was extracted with 70% ethanol and then filtrated; the supernatant was concentrated to get pasty residue. Petroleum ether (60–90 °C) and ethyl acetate at a 3:2 ratio, with an Rf value of 0.23, were chosen as the eluent. Petroleum ether extract (PEE) and ethyl acetate–petroleum ether extract (E-PEE) were used as the suitable enriched method. Afterward, the PEE and E-PEE were loaded onto silica gel for silica gel column chromatography. Preliminary identification was carried out by TLC and UV. The fractions containing mainly hydroxyl-α-sanshool were pooled and dried by rotary evaporation. Lastly, all of the samples were determined by HPLC. The yield and recovery rates of hydroxyl-α-sanshool in the p-E-PEE were 12.42% and 121.65%, respectively, and the purity was 98.34%. Additionally, compared with E-PEE, the purity of hydroxyl-α-sanshool in the purification of E-PEE (p-E-PEE) increased by 88.30%. In summary, this study provides a simple, rapid, economical, and effective approach to the separation of high-purity hydroxyl-α-sanshool.