MSGF-GLP: fusion method of visible and hyperspectral data for early detection of discolored standing trees.

Pest and disease damage to forests cannot be underestimated, so it is essential to detect diseased trees in time and take measures to stop their spread. The detection of discoloration standing trees is one of the important means to effectively control the spread of pests and diseases. In the visible wavelength range, early infected trees do not show significant color changes, which poses a challenge for early detection and is only suitable for monitoring middle and late discolor trees. The spectral resolution of hyperspectral restricts the improvement of its spatial resolution, and there are phenomena of different spectral of the same and foreign objects in the same spectrum, which affect the detection results. In this paper, the method of hyperspectral and CCD image fusion is used to achieve high-precision detection of discoloration standing trees. This paper proposes an improved algorithm MSGF-GLP, which uses multi-scale detail boosting and MTF filter to refine high-resolution data. By combining guided filtering with hyperspectral images, the spatial detail difference is enhanced, and the injection gain is interpolated into the difference of each band, so as to obtain high-resolution and high-quality hyperspectral images. This research is based on hyperspectral and CCD data obtained from LiCHy, Chinese Academy of Forestry, Maoershan Experimental Forest Farm, Shangzhi City, Heilongjiang Province. The evaluation framework is used to compare with the other five fusion algorithms to verify the good effect of the proposed method, which can effectively preserve the canopy spectrum and improve the spatial details. The fusion results of forestry remote sensing data were analyzed using the vegetation Normalized Difference Water Index and Plant Senescence Reflectance Index. The fused results can be used to distinguish the difference between discoloration trees and healthy trees by the multispectral vegetation index. The research results can provide good technical support for the practical application of forest remote sensing data fusion, and lay the foundation for promoting the scientific, automatic and intelligent forestry control.

Imaging of Insect Hole in Living Tree Trunk Based on Joint Driven Algorithm of Electromagnetic Inverse Scattering.

Trunk pests have always been one of the most important species of tree pests. Trees eroded by trunk pests will be blocked in the transport of nutrients and water and will wither and die or be broken by strong winds. Most pests are social and distributed in the form of communities inside trees. However, it is difficult to know from the outside if a tree is infected inside. A new method for the non-invasive detecting of tree interiors is proposed to identify trees eroded by trunk pests. The method is based on electromagnetic inverse scattering. The scattered field data are obtained by an electromagnetic wave receiver. A Joint-Driven algorithm is proposed to realize the electromagnetic scattered data imaging to determine the extent and location of pest erosion of the trunk. This imaging method can effectively solve the problem of unclear imaging in the xylem of living trees due to the small area of the pest community. The Joint-Driven algorithm proposed by our group can achieve accurate imaging with a ratio of pest community radius to live tree radius equal to 1:60 under the condition of noise doping. The Joint-Driven algorithm proposed in this paper reduces the time cost and computational complexity of tree internal defect detection and improves the clarity and accuracy of tree internal defect inversion images.

Clinical features and prognosis of multiple myeloma and orbital extramedullary disease: Seven cases report and review of literature.

BACKGROUND: Multiple myeloma (MM) complicated with extramedullary disease (EMD) has a poor prognosis and is a limiting factor in the treatment of MM, and no standard treatment is recommended in international guidelines. Few studies have reported MM with periorbital EMD. CASE SUMMARY: In this paper, the clinical characteristics and survival of seven patients with multiple myeloma and orbital are described and analyzed. The common ocular symptoms were blurred vision, proptosis and/or eye movement disorders, IgG type MM may be a risk factor for orbital involvement. Of them, six patients were treated with bortezomib-based regimens. The median overall survival (OS) and progression free survival for the entire cohort were 48 and 33 mo, respectively, which was much worse than the OS reported for MM patients without orbital EMD. CONCLUSION: Orbital MM may have significantly shortened survival for the entire cohort, so multidisciplinary collaboration is emphasized and recommended in the diagnosis and treatment of these difficult cases.

Preoperative supplementation of calcitriol and calcium relieves symptom and extent of hypocalcemia in patients undergoing total thyroidectomy and bilateral central compartment neck dissection: A prospective, randomized, open-label, parallel-controlled clinical study.

Background: Hypocalcemia is the most common complication that challenges surgeons performing total thyroidectomy. Conventional postoperative calcium and calcitriol supplement has been reportedly effective; however, a time lag has been reported before taking effect. Therefore, the role of preoperative strategy is yet to be determined. Study design: In this prospective, randomized, open-label, parallel-controlled phase II clinical study (registration number: ChiCTR2200059815), a short-term preoperative administration of calcitriol and calcium was proposed in 210 patients undergoing total thyroidectomy and bilateral central compartment neck dissection. Patients were recruited and randomized (1:1:1) into three groups: (A) combined (preoperative calcitriol and calcium), (B) calcium only (preoperative calcium only), and (C) control (no preoperative intervention). Finally, a total of 172 patients were qualified for final analysis. Results: Our data showed that 16 of 63 patients (25.4%) in the combined group had symptomatic hypocalcemia, whereas more patients from the control group (25 of 57 patients, 43.9%, P = 0.033) had symptomatic hypocalcemia. Further, the postoperative calcium level in the combined group is higher than in the control group (2.15 ± 0.15 vs. 2.09 ± 0.15 mmol/L, P = 0.031). Moreover, patients from the combined group showed lower calcium rates of <2.00 mmol/L (12.7% vs. 28.1%, P = 0.036). Remarkably, compared with the control group, patients with transient hypoparathyroidism in the combined group showed fewer rates for both symptomatic and biochemical hypocalcemia (28.6% vs. 61.1% for symptomatic hypocalcemia; 47.6% vs. 75% for biochemical hypocalcemia). Patients without transient hypoparathyroidism in all three groups showed no significant difference in rates for either symptomatic or biochemical hypocalcemia, indicating that this preoperative strategy is only effective for patients with transient hypoparathyroidism. We did not observe such beneficial effects in patients from the calcium group. Conclusions: Preoperative administration of calcitriol and calcium could reduce symptomatic and biochemical hypocalcemia, especially for those with transient hypoparathyroidism. Moreover, this maneuver could be recommended as a clinical routine in patients undergoing total thyroidectomy and bilateral central compartment neck dissection. Clinical Trial Registration: http://www.chictr.org.cn/edit.aspx?pid=164316&htm=4, identifier ChiCTR2200059815.

Study on the mechanism of American ginseng extract for treating type 2 diabetes mellitus based on metabolomics.

American ginseng extract (AGE) is an efficient and low-toxic adjuvant for type 2 diabetes mellitus (T2DM). However, the metabolic mechanisms of AGE against T2DM remain unknown. In this study, a rat model of T2DM was created and administered for 28 days. Their biological (body weight and serum biochemical indicators) and pathological (pancreatic sections stained with HE) information were collected for further pharmacodynamic evaluation. Moreover, an ultra-performance liquid chromatography-mass spectrometry-based (UHPLC-MS/MS-based) untargeted metabolomics method was used to identify potential biomarkers of serum samples from all rats and related metabolic pathways. The results indicated that body weight, fasting blood glucose (FBG), fasting blood insulin (FINS), blood triglyceride concentration (TG), high-density lipoprotein cholesterol (HDL-C), insulin resistance index (HOMA-IR) and insulin sensitivity index (ISI), and impaired islet cells were significantly improved after the high dose of AGE (H_AGE) and metformin treatment. Metabolomics analysis identified 101 potential biomarkers among which 94 metabolites had an obvious callback. These potential biomarkers were mainly enriched in nine metabolic pathways linked to amino acid metabolism and lipid metabolism. Tryptophan metabolism and glutathione metabolism, as differential metabolic pathways between AGE and metformin for treating T2DM, were further explored. Further analysis of the aforementioned results suggested that the anti-T2DM effect of AGE was closely associated with inflammation, oxidative stress, endothelial dysfunction, dyslipidemia, immune response, insulin resistance, insulin secretion, and T2DM-related complications. This study can provide powerful support for the systematic exploration of the mechanism of AGE against T2DM and a basis for the clinical diagnosis of T2DM.

Fisheye Image Detection of Trees Using Improved YOLOX for Tree Height Estimation.

Tree height is an essential indicator in forestry research. This indicator is difficult to measure directly, as well as wind disturbance adds to the measurement difficulty. Therefore, tree height measurement has always been an issue that experts and scholars strive to improve. We propose a tree height measurement method based on tree fisheye images to improve the accuracy of tree height measurements. Our aim is to extract tree height extreme points in fisheye images by proposing an improved lightweight target detection network YOLOX-tiny. We added CBAM attention mechanism, transfer learning, and data enhancement methods to improve the recall rate, F1 score, AP, and other indicators of YOLOX-tiny. This study improves the detection performance of YOLOX-tiny. The use of deep learning can improve measurement efficiency while ensuring measurement accuracy and stability. The results showed that the highest relative error of tree measurements was 4.06% and the average relative error was 1.62%. The analysis showed that the method performed better at all stages than in previous studies.

Predicting Venous Thrombosis in Osteoarthritis Using a Machine Learning Algorithm: A Population-Based Cohort Study.

Osteoarthritis (OA) is the most common joint disease associated with pain and disability. OA patients are at a high risk for venous thrombosis (VTE). Here, we developed an interpretable machine learning (ML)-based model to predict VTE risk in patients with OA. To establish a prediction model, we used six ML algorithms, of which 35 variables were employed. Recursive feature elimination (RFE) was used to screen the most related clinical variables associated with VTE. SHapley additive exPlanations (SHAP) were applied to interpret the ML mode and determine the importance of the selected features. Overall, 3169 patients with OA (average age: 66.52 ± 7.28 years) were recruited from Xi'an Honghui Hospital. Of these, 352 and 2817 patients were diagnosed with and without VTE, respectively. The XGBoost algorithm showed the best performance. According to the RFE algorithms, 15 variables were retained for further modeling with the XGBoost algorithm. The top three predictors were Kellgren-Lawrence grade, age, and hypertension. Our study showed that the XGBoost model with 15 variables has a high potential to predict VTE risk in patients with OA.

Improved FCM algorithm for fisheye image cluster analysis for tree height calculation.

The height of standing trees is an important index in forestry research. This index is not only hard to measure directly but also the environmental factors increase the measurement difficulty. Therefore, the measurement of the height of standing trees is always a problem that experts and scholars are trying to improve. In this study, improve fuzzy c-means algorithm to reduce the calculation time and improve the clustering effect, used on this image segmentation technology, a highly robust non-contact measuring method for the height of standing trees was proposed which is based on a smartphone with a fisheye lens. While ensuring the measurement accuracy, the measurement stability is improved. This method is simple to operate, just need to take a picture of the standing tree and determine the shooting distance to complete the measurement. The purpose of the fisheye lens is to ensure that the tree remains intact in the photograph and to reduce the shooting distance. The results of different stability experiments show that the measurement error ranged from -0.196m to 0.195m, and the highest relative error of tree measurement was 3.05%, and the average relative error was 1.45%. Analysis shows that compared with previous research, this method performs better at all stages. The proposed approach can provide a new way to obtain tree height, which can be used to analyze growing status and change in contrast height because of high accuracy and permanent preservation of images.

Photocytotoxicity of white light-emitting diode irradiation on human lens epithelium and retinal pigment epithelium via the JNK and p38 MAPK signaling pathways.

WLEDs have lately been the preferred lighting device based on properties such as energy saving, high efficiency, longevity, and environmental protection. However, studies on the safety of white light-emitting diode (WLED) are limited. In our previous study, we found that WLED light (4000 K ± 500 K color temperature, 250 lx, and 20 min exposure) is photocytotoxic to three mammalian cell lines by causing cell lipid peroxidation. To further investigate the potential photocytotoxicity of WLEDs on the human body, we used two human eye cell lines SRA01/04 and D407 as target cells for evaluating its potential phototoxicity on the human eye in the present study based on cell viability, apoptosis, and intracellular oxidative stress assays, as well as the activation levels of reactive oxygen species (ROS)-related apoptosis pathways, including extracellular signal-regulated kinase (ERK), c-Jun NH2-terminal kinase (JNK) and p38 kinase (p38), using mitogen-activated protein kinase (MAPK) signaling pathway assays. The results showed that WLED light has photocytotoxicities on SRA01/04 and D407 cells, which were both in a time-, irradiance-, and color temperature-dependent manner and strongest at the conditions of 2 h irradiation time, 60 W/m2 irradiance, and 4000 K color temperature. Moreover, the photocytotoxicity of red light-emitting diode (LED) light was the strongest in the three tested monochromatic light compositions of WLED. Mechanism studies show that the potential phototoxicity of WLED on human lens epithelium and retinal pigment epithelium may be caused by its induced oxidative stress damage via the JNK and p38 MAPKs pathways.

3D Lamellar Structure of Biomass-Based Porous Carbon Derived from Towel Gourd toward Phase Change Composites with Thermal Management and Protection.

The practical application of shape-stable phase change composites (PCCs) is beneficial to thermal energy management and energy conservation due to their superior properties. A shape-stable PCC was fabricated by incorporating poly(ethylene glycol) (PEG) with biomass-based porous carbon that was produced via freeze-drying and carbonization using a low-cost and environmentally friendly fresh towel gourd. The towel gourd derived porous carbon with the characteristics of porosity, unique three-dimensional (3D) lamellar structure, and high specific surface area allowed a high encapsulation capacity (up to 94.5 wt %) for PEG. Structural morphologies, as well as the properties of latent heat storage, thermal reliability, thermal energy management, and thermal protection ability of the fabricated shape-stable PCC, were investigated. The micromorphologies revealed that PEG molecular chains were arranged in a 3D lamellar tissue structure. The shape-stable PCC demonstrated excellent thermal reliability and a high melting latent heat of ∼164.3 J/g. The analysis of infrared thermal images indicated that the shape-stable PCC exhibited remarkable strengths in thermal energy management. The result of the thermal insulation simulation experiment proved that the shape-stable PCC had superior thermal protection ability. This study provided an innovative strategy for the design and development of shape-stable PCCs for great potential in heat-insulating protective textiles, solar thermal energy storage, energy-saving buildings, and infrared stealth of military targets.

Immunostimulating effect of polysaccharides isolated from Ma-Nuo-Xi decoction in cyclophosphamide-immunosuppressed mice.

Ma-Nuo-Xi Decoction (MNXD) is well-known in Tibetan medicine to be in line with the theory of treatment determination based on syndrome differentiation. However, the components responsible for its immunomodulating effect are unknown. In this study, three polysaccharide components-MNXD-P, MNXD-BD-P, and MNXD-AD-P-were isolated from MNXD and its basic and auxiliary prescription decoctions, of which MNXD-BD-P is composed of ß-(1,4)-d-glucan and RG-I pectin, MNXD-AD-P contains mainly α-(1,4)-d-glucan and some amount of arabinogalactan and/or arabinorhamnogalactan, and MNXD-P contains components of both MNXD-BD-P and MNXD-AD-P. And treatment with these polysaccharides could significantly improve the host's specific and non-specific immunity, including cellular and humoral immunities, as well as promote recovery from myelosuppression in cyclophosphamide (CTX)-immunosuppressed mice. To our knowledge, this is the first report on chemical and immunoactivity study on polysaccharides from traditional Tibetan medicine compounds, which may provide a new idea for development of carbohydrate drugs from them.

Influence of divalent cations on the biofouling behaviors of alginate hydrogels.

Alginate is one of the most favorable materials in many biomedical applications. The mechanical properties of alginate hydrogels can be easily tailored by adding different concentrations of divalent cations. In this work, we demonstrate that the method can also notably influence the biofouling behaviors of alginate hydrogels. A series of alginate hydrogels was prepared by tuning the concentrations of two types of divalent cation (Ca2+ or Ba2+). It was found that the biofouling behaviors of the hydrogels exhibited a 'U' curve tendency with the cation concentrations. Interestingly, we found that in optimal conditions ([Ca2+] = 0.9 mM or [Ba2+] = 0.54 mM), the resultant Ca0.9- and Ba0.54-alginate hydrogels were able to achieve negligible adhesion of the proteins and bacteria. Moreover, these two formulations were also able to prevent inflammatory responses at least 4 weeks after subcutaneous implantation in a mouse model. The findings in this work provide more insights into the design and development of appropriate alginate hydrogels for different applications.

Safety of intralesional injection of lauromacrogol combined with triamcinolone for infantile hemangiomas.

The efficacy of lauromacrogol injection therapy and intralesional triamcinolone for infantile hemangiomas (IH) has been well documented recently, but with an increase in serious or rare adverse reactions. The aim of this study is to investigate the safety concerns regarding intralesional injection of lauromacrogol combined with triamcinolone for IH and to study its effect on infant growth and development. A total of 1039 IH patients who were subjected to intralesional injection of lauromacrogol combined with triamcinolone in the Plastic Surgery Department of Shandong Provincial Hospital between 1 January 2015 and 31 May 2018 were enrolled in this study. When the dose of lauromacrogol and triamcinolone was less than 3.5 and 2.0 mg/kg respectively, no serious side-effects were observed. The adverse event rate reported was 7.7%. Among the 405 patients not subjected to propranolol before the last injection, the study included three modes of treatment response: regression (82.7%), stabilization (13.8%) and failure (3.5%). By comparing height and weight to the reference standards and also by comparisons between the same-sex groups, our results confirmed that there was no significant effect on children's height and weight, regardless of whether the injection therapy was combined with oral propranolol at the appropriate dose and with more than 4-week intervals. Intralesional injection of lauromacrogol combined with triamcinolone in the treatment of IH was highly safe and effective.

Encapsulation of AgNPs within Zwitterionic Hydrogels for Highly Efficient and Antifouling Catalysis in Biological Environments.

Silver nanoparticles (AgNPs) have been widely used as catalysts in a variety of chemical reactions owing to their unique surface and electronic properties, but their practical applications have been hindered by severe aggregation. The immobilization of AgNPs is crucial to preventing their aggregation or precipitation as well as to improving their reusability. Herein, we developed a facile route for the reductant-free in situ synthesis of AgNPs in zwitterionic hydrogels. Via this method, the embedded AgNPs had a uniform distribution, high activity, and antibiofouling capability. The catalytic reduction of 4-nitrophenol (4-NP) to 4-aminophenol (4-AP) using polycarboxybetaine-AgNPs (PCB-AgNPs) could achieve >95% conversion efficiency within 5 min. Meanwhile, the normalized rate constant knor (10.617 s-1mmol-1) was higher than that of most of the reported immobilized nanocatalysts. More importantly, in a biofouling environment, PCB-AgNPs could still exhibit >97% initial catalytic activity while AgNPs in the PSB or PHEMA hydrogel lost ∼60% activity. This strategy holds great potential for the immobilization of nanoparticle catalysts, especially for applications in biological environments.

Temporal quantification of mating system parameters in a coastal Douglas-fir seed orchard under manipulated pollination environment.

Seed orchards main function is delivering breeding programs' gains in the form of genetically improved seedlings. They are unique experimental populations, perfectly suited for studying various pollination environments (natural or otherwise), affecting their mating system parameters. Here, under different pollination environment (natural and intrusive (pollen augmentation and/or bloom-delay)), the mating system of a second generation, wind-pollinated, coastal Douglas-fir (Pseudotsuga menziesii var. menziesii (Mirb.) Franco) seed orchard was evaluated over four years. Using DNA microsatellite markers and bulk seed samples, we conducted pedigree reconstruction to assign each seed's male and female parents, followed by determining the extent of pollen contamination (external gene flow), selfing rate, and, parental gametic contribution for each year. Overall, external pollen contamination rates ranged between 10 and 28%, selfing rate varied between 12 and 17%, and 80% of the seed crops were produced by 37-64% of the orchard's parents. Pollination environment and seed crop size substantially influenced the observed results, particularly for small crops as pollen contamination was high in natural (28%) vs. intrusive pollination (10%). Generally, irrespective of the crop size, seed produced under natural pollination had higher pollen contamination, confirming the role of pollination environment manipulation in improving seed crops' genetic quality.

Biocompatible magnetic nanoparticles grafted by poly(carboxybetaine acrylamide) for enzyme immobilization.

Herein, the zwitterionic material poly (carboxybetaine acrylamide) was grafted onto iron oxide to obtain biocompatible magnetic nanoparticles Fe3O4-pCBAA which were employed to immobilize enzymes. The nanocomplxes Fe3O4-pCBAA were characterized using scanning electron microscopy (SEM), dynamic light scattering (DLS), zeta potential, Fourier transform-infrared (FT-IR) spectra and energy dispersive X-ray spectrometry (EDX). The urease as a model enzyme was immobilized with the novel supports and the properties of immobilized urease were further investigated in comparison with the free urease counterpart. The immobilized urease exhibited excellent thermodynamic and chemical stability. Particularly, 60% of initial activity was remained after being stored at 70 °C for 2 h while the free urease only remained 30%. Besides, the relative activity of immobilized enzyme was 1.7 times that of free ones after disposed in ethanol and 2-propanol for 2 h, and 7 times in DMF. Moreover, immobilized urease retained >80% of its initial activity after 5 cycles. In addition, the immobilization carrier Fe3O4-pCBAA displayed famous biocompatibility, and the immobilized urease performed better in complex biological samples, which were >85% and <60% of its initial activity for the immobilized and dissociative urease, respectively, in 20% and 25% of serum. These results confirm that the nanoparticles Fe3O4-pCBAA are biofriendly and efficient supports for enzyme immobilization and potential for practical applications in bio-microenvironments.

[Huaier aqueous extract inhibits proliferation of human hepatoma SK-HEP-1 cells through up-regulation of autophagy].

The purpose of this study was to investigate the effect of Huaier on autophagy of human hepatoma SK-HEP-1 cells and the effect of autophagy on the proliferation of SK-HEP-1 cells. CCK-8 assay was used to evaluate the effect of Huaier on the proliferation of SK-HEP-1 cells under different concentrations and different times. Acridine orange staining was used to measure the effect of Huaier on the autolysosome formation in SK-HEP-1 cells. Immunofluorescence assay was applied to examine the effect of Huaier on the expression and distribution of autophagy marker LC3 in SK-HEP-1 cells. In addition， LC3 expression was also checked by immunoblot analysis in the presence of Huaier. At last， the effects of Huaier in combination with autophagy inhibitor bafilomycin A1 on the proliferation of SK-HEP-1 cells was detected by CCK-8 assay. The results showed that Huaier aqueous extract significantly inhibited the proliferation of human hepatoma SK-HEP-1 cells in a dose- and time-dependent manner. Huaier aqueous extract dramatically promoted the formation of autolysosome in SK-HEP-1 cells. Moreover， Huaier markedly increased the number and intensity of intracellular LC3 fluorescent puncta and up-regulated LC3-Ⅱ expression. These data indicated that Huaier evidently activated autophagy of SK-HEP-1 cells. Additionally， autophagy inhibition significantly attenuated the sensitivity of SK-HEP-1 cells to Huaier treatment. Therefore， autophagy activation is involved in the inhibitory effects of Huaier on the proliferation of human hepatoma SK-HEP-1 cells.

Novel Balanced Charged Alginate/PEI Polyelectrolyte Hydrogel that Resists Foreign-Body Reaction.

Foreign-body reaction (FBR) has been a long-term obstacle for implantable biomedical devices and materials, especially to those that require mass/signal transport between the implants and the body. However, currently, very limited biomaterials can mitigate FBR. In this work, we develop a balanced charged polyelectrolyte hydrogel that can efficiently resist FBR and collagenous capsule formation in a mouse model. Using this new strategy, we can easily tune the antifouling properties of the polyelectrolyte hydrogels by changing the ratio of negatively charged alginate and positively charged poly(ethylene imine). We find that at the optimum ratio where the net charge of hydrogel is neutral, the adhesion of proteins, cells, bacteria, and fresh blood on its surface can be significantly inhibited, indicating its excellent antifouling properties. In vivo studies show that after being implanted subcutaneously, this balanced charged hydrogel can prevent the capsule formation for at least 3 months. Furthermore, immunofluorescent staining results indicate that this balanced charged hydrogel elicits negligible inflammation, significantly reducing macrophage migration to the tissue-implant interface. This flexible and versatile approach holds a great promise for designing a wide spread of new antifouling hydrogels and using as immunoisolation materials for biomedical applications.

An antioxidant α-glucan from Cladina rangiferina (L.) Nyl. and its protective effect on alveolar epithelial cells from Pb2+-induced oxidative damage.

Air pollution is a serious global health problem nowadays. So, it is an emergency to pay sufficient attention to treat and prevent the diseases caused by air pollution, especially respiratory disease and lung damage. Cladina rangiferina (L.) Nyl. is an edible lichen that has been used in medicinal diets to treat respiratory and other diseases for over 500 years. In this study, a water-soluble polysaccharide, CRWP-P, was obtained from C. rangiferina by hot-water extraction, freeze-thawing separation, and Fehling reagent purification. Structural analysis showed that CRWP-P is a linear α-(1 → 3),(1 → 4)-d-glucan without branches. Its Mw was determined to be 1.05 × 105 Da. Its (1,3)-α-d-glucopyranosyl: (1,4)-α-d-glucopyranosyl ratio is approximately 1:2. Antioxidant activity assay showed that C. rangiferina polysaccharides, especially CRWP-P, had appreciable DPPH radical-scavenging activity and reducing power. Notably, they could effectively decrease cell breakdown and ROS generation, inhibit lipid peroxidation, increase key antioxidase activity, and promote glutathione redox cycling in Pb2+-oxidative injured A549 alveolar epithelium cells. Overall, the results of this study indicated that C. rangiferina polysaccharides, especially CRWP-P, have the potential to be natural antioxidants for the treatment of lung oxidative damage induced by lead of air pollutants.

Practical application of genomic selection in a doubled-haploid winter wheat breeding program.

Crop improvement is a long-term, expensive institutional endeavor. Genomic selection (GS), which uses single nucleotide polymorphism (SNP) information to estimate genomic breeding values, has proven efficient to increasing genetic gain by accelerating the breeding process in animal breeding programs. As for crop improvement, with few exceptions, GS applicability remains in the evaluation of algorithm performance. In this study, we examined factors related to GS applicability in line development stage for grain yield using a hard red winter wheat (Triticum aestivum L.) doubled-haploid population. The performance of GS was evaluated in two consecutive years to predict grain yield. In general, the semi-parametric reproducing kernel Hilbert space prediction algorithm outperformed parametric genomic best linear unbiased prediction. For both parametric and semi-parametric algorithms, an upward bias in predictability was apparent in within-year cross-validation, suggesting the prerequisite of cross-year validation for a more reliable prediction. Adjusting the training population's phenotype for genotype by environment effect had a positive impact on GS model's predictive ability. Possibly due to marker redundancy, a selected subset of SNPs at an absolute pairwise correlation coefficient threshold value of 0.4 produced comparable results and reduced the computational burden of considering the full SNP set. Finally, in the context of an ongoing breeding and selection effort, the present study has provided a measure of confidence based on the deviation of line selection from GS results, supporting the implementation of GS in wheat variety development.