Cotton seed cultivar identification based on the fusion of spectral and textural features.

The mixing of cotton seeds of different cultivars and qualities can lead to differences in growth conditions and make field management difficult. In particular, except for yield loss, it can also lead to inconsistent cotton quality and poor textile product quality, causing huge economic losses to farmers and the cotton processing industry. However, traditional cultivar identification methods for cotton seeds are time-consuming, labor-intensive, and cumbersome, which cannot meet the needs of modern agriculture and modern cotton processing industry. Therefore, there is an urgent need for a fast, accurate, and non-destructive method for identifying cotton seed cultivars. In this study, hyperspectral images (397.32 nm-1003.58 nm) of five cotton cultivars, namely Jinke 20, Jinke 21, Xinluzao 64, Xinluzao 74, and Zhongmiansuo 5, were captured using a Specim IQ camera, and then the average spectral information of seeds of each cultivar was used for spectral analysis, aiming to estab-lish a cotton seed cultivar identification model. Due to the presence of many obvious noises in the < 400 nm and > 1000 nm regions of the collected spectral data, spectra from 400 nm to 1000 nm were selected as the representative spectra of the seed samples. Then, various denoising techniques, including Savitzky-Golay (SG), Standard Normal Variate (SNV), and First Derivative (FD), were applied individually and in combination to improve the quality of the spectra. Additionally, a successive projections algorithm (SPA) was employed for spectral feature selection. Based on the full-band spectra, a Partial Least Squares-Discriminant Analysis (PLS-DA) model was established. Furthermore, spectral features and textural features were fused to create Random Forest (RF), Convolutional Neural Network (CNN), and Extreme Learning Machine (ELM) identification models. The results showed that: (1) The SNV-FD preprocessing method showed the optimal denoising performance. (2) SPA highlighted the near-infrared region (800-1000 nm), red region (620-700 nm), and blue-green region (420-570 nm) for identifying cotton cultivar. (3) The fusion of spectral features and textural features did not consistently improve the accuracy of all modeling strategies, suggesting the need for further research on appropriate modeling strategies. (4) The ELM model had the highest cotton cultivar identification accuracy, with an accuracy of 100% for the training set and 98.89% for the test set. In conclusion, this study successfully developed a highly accurate cotton seed cultivar identification model (ELM model). This study provides a new method for the rapid and non-destructive identification of cotton seed cultivars, which will help ensure the cultivar consistency of seeds used in cotton planting, and improve the overall quality and yield of cotton.

Clinical Efficacy of LSC and TVT-O for Stress Urinary Incontinence Complicated with Pelvic Organ Prolapse and Factors Influencing Postoperative Urinary Function Recovery.

Pelvic organ prolapse is caused by various causes, which leads to the weakness of the tissue supporting the pelvic floor and then causes the downward displacement of female reproductive organs and adjacent organs. Clinical studies have shown that pop is often associated with stress urinary incontinence. This research project aimed to clarify the clinical effect of laparoscopic sacrocolpopexy (LSC) and tension-free vaginal tape obturator (TVT-O) for stress urinary incontinence (SUI) complicated with pelvic organ prolapse (POP) and the influencing factors of postoperative urinary function (UF) recovery. The clinical data of 125 patients with SUI complicated with POP treated in Wenzhou Central Hospital and Beidahuang Industry Group General Hospital between March 2018 and December 2019 were retrospectively analyzed. Patients were assigned to the following two arms based on different treatment methods: the combination group (n = 65, treated with LSC plus TVT-O) and the control group (n = 60, treated with LSC). The alterations of perioperative clinical and urodynamic indexes were analyzed. The objective and subjective response rates were observed and compared. The degree of POP before and after surgery was evaluated. According to the urinary function recovery time, the patients were divided into the fast and non-fast recovery groups, and then, the factors influencing postoperative UF recovery were analyzed between groups. The combination group showed statistically longer operation time (OT) and postoperative indwelling catheter and higher intraoperative blood loss (IBL) than the control group (all P < 0.05), but the anal exhaust time and postoperative length of stay (LOS) differed insignificantly between the two arms. The combination group outperformed the control group in the objective response rate, as well as the scores of illness, quality of life (QOL), and sexual life (all P < 0.05). Menopause, maximum flow rate (MFR), and preoperative residual urine volume were identified as the influencing factors for normal urination. For patients with SUI complicated with POP, the efficacy of laparoscopic sacrocolpopexy was limited, while combining with TVT-O would obtain more significant short-term and long-term efficacy, which can significantly improve patients' urination and long-term quality of life, with higher safety and clinical promotion value.

Penta-BCN monolayer with high specific capacity and mobility as a compelling anode material for rechargeable batteries.

With the increasing demand for sustainable and clean energies, seeking high-capacity density electrode materials applied in rechargeable metal-ion batteries is urgent. In this work, using first-principles calculations, we evaluate the ternary pentagonal BCN monolayer as a compelling anode material for metal ion batteries. Calculations show that the penta-BCN monolayer has favorable metallic behaviors after adsorbing Li (Na) atoms. More interestingly, the saturated adsorption systems provide a large storage capacity of 2183.12 (1455.41) mA h g-1 for Li (Na) ions. A low energy barrier of 0.14 (0.16) eV for Li (Na) diffusion is observed, being smaller than the reported other two-dimensional anode materials. Also, the wrinkled structure of penta-BCN has been demonstrated to be very beneficial to improve the energy density and cycle life of batteries. The calculated low open-circuit voltage and peculiar surface area expansion together with the thermal stability of saturated intercalation structures, further indicate that the penta-BCN monolayer has great potential as the anode material for Li (Na) ion batteries.

LncRNA LINC00319 accelerates ovarian cancer progression through miR-423-5p/NACC1 pathway.

Long noncoding RNA (lncRNA) LINC00319 has been reported to promote carcinogenesis of lung cancer and cutaneous squamous cell carcinoma. However, the role and mechanism of LINC00319 in ovarian cancer progression is unclear. In this study, LINC00319 expression was found to be upregulated in ovarian cancer tissues and cell lines. And our evidence showed that LINC00319 could be a potential prognostic biomarker for patients with ovarian cancer. Cell Counting Kit-8 (CCK-8), colony formation and transwell assays indicated that LINC00319 upregulation promoted proliferation, migration and invasion of ovarian cancer cells. Bioinformatics analysis and luciferase reporter assay revealed that LINC00319 worked as the sponge for miR-423-5p. Furthermore, miR-423-5p directly targeted NACC1. qRT-PCR and western blot results demonstrated that LINC00319 upregulates NACC1 expression through inhibiting miR-423-5p in ovarian cancer cells. Moreover, we observed an inverse expression correlation between miR-423-5p and LINC00319 or between miR-423-5p and NACC1 in ovarian cancer tissues. Finally, rescue assay showed that NACC1 restoration rescued the potentials of proliferation, migration and invasion in LINC00319-depleted ovarian cancer cells. In conclusion, our findings demonstrated that LINC00319 promotes ovarian cancer progression through upregulating NACC1 expression by restraining miR-423-5p.