A Lightweight and Efficient Multi-Type Defect Detection Method for Transmission Lines Based on DCP-YOLOv8.

Currently, the intelligent defect detection of massive grid transmission line inspection pictures using AI image recognition technology is an efficient and popular method. Usually, there are two technical routes for the construction of defect detection algorithm models: one is to use a lightweight network, which improves the efficiency, but it can generally only target a few types of defects and may reduce the detection accuracy; the other is to use a complex network model, which improves the accuracy, and can identify multiple types of defects at the same time, but it has a large computational volume and low efficiency. To maintain the model's high detection accuracy as well as its lightweight structure, this paper proposes a lightweight and efficient multi type defect detection method for transmission lines based on DCP-YOLOv8. The method employs deformable convolution (C2f_DCNv3) to enhance the defect feature extraction capability, and designs a re-parameterized cross phase feature fusion structure (RCSP) to optimize and fuse high-level semantic features with low level spatial features, thus improving the capability of the model to recognize defects at different scales while significantly reducing the model parameters; additionally, it combines the dynamic detection head and deformable convolutional v3's detection head (DCNv3-Dyhead) to enhance the feature expression capability and the utilization of contextual information to further improve the detection accuracy. Experimental results show that on a dataset containing 20 real transmission line defects, the method increases the average accuracy (mAP@0.5) to 72.2%, an increase of 4.3%, compared with the lightest baseline YOLOv8n model; the number of model parameters is only 2.8 M, a reduction of 9.15%, and the number of processed frames per second (FPS) reaches 103, which meets the real time detection demand. In the scenario of multi type defect detection, it effectively balances detection accuracy and performance with quantitative generalizability.

Three New Benzophenone Derivatives from Selaginella tamariscina.

Six compounds including three new benzophenones, selagibenzophenones D-F (1-3), two known selaginellins (4-5) and one known flavonoid (6), were isolated from Selaginella tamariscina. The structures of new compounds were established by 1D-, 2D-NMR and HR-ESI-MS spectral analyses. Compound 1 represents the second example of diarylbenzophenone from natural sources. Compound 2 possesses an unusual biphenyl-bisbenzophenone structure. Their cytotoxicity against human hepatocellular carcinoma HepG2 and SMCC-7721 cells and inhibitory activities on lipopolysaccharide-induced nitric oxide (NO) production in RAW264.7 cells were evaluated. Compound 2 showed moderate inhibitory activity against HepG2 and SMCC-7721 cells, and compounds 4 and 5 showed moderate inhibitory activity to HepG2 cells. Compounds 2 and 5 also exhibited inhibitory activities on lipopolysaccharide-induced nitric oxide (NO) production.

Monitoring Your Weight-Loss Process Online: The Impacts of Prior Experiences and Online Social Support on Subsequent Weight-Loss Outcome.

Online weight-loss communities (OWCs) have become increasingly popular for weight management; they enable individuals to monitor (i.e. self-monitoring) and discuss (i.e. social interaction) their weight-loss experiences. This study investigates the relationship between prior weight-loss experiences (success and failure), online social support, and subsequent weight-loss outcome in the context of OWCs and based on self-determination theory. We collected the data of 1465 users from one popular OWC and deployed two logit regression models to estimate the effects of prior weight-loss experiences on subsequent weight-loss success as well as the moderating role of social support. The results revealed that prior successful weight-loss experiences were positively related to subsequent weight-loss outcome, while the relationship between prior failed weight-loss experiences and subsequent weight-loss outcome was negative. Meanwhile, online social support can not only be positively related to subsequent weight-loss outcome, but also buffer the negative role of prior failed weight-loss experiences. Nevertheless, social support had no significant moderating role in the relationship between prior successful weight-loss experiences and subsequent weight-loss outcome. This study contributes to the literature on prior experiences and online social support in the context of OWCs and provides valuable insights to improve participants' engagement and their weight-loss success.

Studies on transmittance modulation and ions transfer kinetic based on capacitive-controlled 2D V2O5inverse opal film for electrochromic energy storage application.

Two-dimensional vanadium pentoxide inverse opal (2D V2O5IO) architecture was fabricated by polystyrene (PS) sphere template assisted electrodeposition process. In comparison to the un-templated V2O5film, the 2D V2O5IO film exhibited a highly ordered hexagonal close-packed bowel-like array, as well as noticeable electrochromism, such as transmittance modulation up to 42.6% at 800 nm, high coloration efficiency (28.6 cm2 · C-1), fast ions transfer kinetic (tb = 7.2 s,tc = 2.5 s). These improvements of electrochromic performance were attributed to the ordered morphology with larger surface areas, which considerably shortened the ions diffusion paths and accelerated ions migration. An electrochromic energy storage device assembled from the 2D V2O5IO film with simultaneous electrochromic and pseudocapacitive performance could not only show transmittance modulation accompanied by multicolor variations but also powered an LCD screen and an LED bulb, demonstrating a promising potential for practical applications.

A new isoflavone glycoside from Abrus cantoniensis.

A new isoflavone glycoside named as 8-O-methylrelusin-7-O-ß-D-apifuranosyl-(1→2)-ß-D-glucopyranoside (1), together with two known compounds, 8-O-methylrelusin-7-O-ß-D-glucopyranoside (2) and isobiflorin (3), were isolated from Abrus cantoniensis. The structure of the new compound was elucidated on the basis of spectroscopic methods including extensive 1D NMR, 2D NMR, and HRESIMS. This is the first report of isoflavone from Abrus cantoniensis. Moreover, all isolated compounds were evaluated for their cytotoxicity against SMMC-7721 and MHCC97-H cell lines.[Formula: see text].

A new flavonoid with 6-phenyl substituent from Selaginella uncinata.

A new flavonoid, 6-(5-acetyl-2-methoxyphenyl)-apigenin (1), together with nine known compounds (2-10), was isolated from Selaginella uncinata (Desv.) Spring. This is the first report of the spectroscopic data of compound 3. Compound 2 was first reported from this species. The structure of the new compound was elucidated on the basis of spectroscopic evidence, including 1D and 2D NMR as well as HR-EI-MS analysis.

Selaginellin M, a new selaginellin derivative from Selaginella pulvinata.

A new selaginellin derivative, selaginellin M (1), together with one known compound, selaginellin E (2), was isolated from Selaginella pulvinata. The structure of the new compound was elucidated and named as (R,S)-4-((4'-hydroxy-4-((2-hydroxyethoxy)methyl))-3-((4-hydroxyphenyl)ethynyl)biphenyl-2-yl)(4-hydroxyphenyl)methylene)cyclohexa-2,5-dienone on the basis of the spectroscopic data including UV, IR, 1D, and 2D NMR as well as HR-ESI-MS analysis.