The functional tea CFT-1 has been introduced into China as a nutraceutical beverage according to the "Healthy China" national project. The effects on human hepatocellular carcinoma (HCC) cells remain unclear and were investigated with the functional tea extract (purity > 98%). The morphological changes in the cells were observed with microscopes. Cell proliferation, migration, cycle distribution, and apoptotic effects were assessed by MTT, Transwell assays, and flow cytometry, respectively, while telomerase inhibition was evaluated with telomerase PCR ELISA assay kits. The CFT-1 treatment resulted in cell shrinkage, nuclear pyknosis, and chromatin condensation. CFT-1 suppressed the growth of Hep3B cells with IC50 of 143 µg/mL by inducing apoptosis and G0/G1 arrest in Hep3B cells. As for the molecular mechanism, CFT-1 treatment can effectively reduce the telomerase activity. The functional tea extract inhibits cell growth in human HCC by inducing apoptosis and G0/G1 arrest, possibly through a reduction in telomerase activity. These results indicate that CFT-1 extract exhibited in vitro anticancer activities and provided insights into the future development and utilization of CFT-1 as functional foods to inhibit the proliferation of HCC cells.
Currently, aeroplane images captured by camera sensors are characterized by their small size and intricate backgrounds, posing a challenge for existing deep learning algorithms in effectively detecting small targets. This paper incorporates the RFBNet (a coordinate attention mechanism) and the SIOU loss function into the YOLOv5 algorithm to address this issue. The result is developing the model for aeroplane and undercarriage detection. The primary goal is to synergize camera sensors with deep learning algorithms, improving image capture precision. YOLOv5-RSC enhances three aspects: firstly, it introduces the receptive field block based on the backbone network, increasing the size of the receptive field of the feature map, enhancing the connection between shallow and deep feature maps, and further improving the model's utilization of feature information. Secondly, the coordinate attention mechanism is added to the feature fusion network to assist the model in more accurately locating the targets of interest, considering attention in the channel and spatial dimensions. This enhances the model's attention to key information and improves detection precision. Finally, the SIoU bounding box loss function is adopted to address the issue of IoU's insensitivity to scale and increase the speed of model bounding box convergence. Subsequently, the Basler camera experimental platform was constructed for experimental verification. The results demonstrate that the AP values of the YOLOv5-RSC detection model for aeroplane and undercarriage are 92.4% and 80.5%, respectively. The mAP value is 86.4%, which is 2.0%, 5.4%, and 3.7% higher than the original YOLOv5 algorithm, respectively, with a detection speed reaching 89.2 FPS. These findings indicate that the model exhibits high detection precision and speed, providing a valuable reference for aeroplane undercarriage detection.
Due to its multi-mode and dispersion characteristics, Lamb waves cause interference to signal processing, which profoundly limits their application in nondestructive testing. To resolve this issue, firstly, based on the traditional EMAT, a horizontal polarization periodic permanent magnet electromagnetic acoustic transducer (HP-PPM-EMAT) was proposed. A 2-D finite element model was then developed to compare magnetic flux density, Lorentz force, and signal strength between the traditional EMAT and the HP-PPM-EMAT. The simulation results show that the HP-PPM-EMAT enhances the A0 mode Lamb wave (A0 wave) and suppresses the S0 mode Lamb wave (S0 wave). Finally, the influence of structural parameters of the HP-PPM-EMAT on the total displacement amplitude ratio of A0 and S0 was investigated using orthogonal test theory, and the width of magnet units was improved based on the orthogonal test. The results show that the total displacement amplitude ratio of A0 to S0 of the improved HP-PPM-EMAT can be improved by a factor of 7.74 compared with that of the traditional Lamb wave EMAT, which can produce higher-purity A0 mode Lamb waves.
Tea, an extensively consumed and globally popular beverage, has diverse chemical compositions that ascertain its quality and categorization. In this investigation, we formulated an analytical and quantification approach employing reversed-phase ultra-high-performance liquid chromatography (UHPLC) methodology coupled with diode-array detection (DAD) to precisely quantify 20 principal constituents within 121 tea samples spanning 6 distinct variants. The constituents include alkaloids, catechins, flavonols, and phenolic acids. Our findings delineate that the variances in chemical constitution across dissimilar tea types predominantly hinge upon the intricacies of their processing protocols. Notably, green and yellow teas evinced elevated concentrations of total chemical moieties vis à vis other tea classifications. Remarkably divergent levels of alkaloids, catechins, flavonols, and phenolic acids were ascertained among the disparate tea classifications. By leveraging random forest analysis, we ascertained gallocatechin, epigallocatechin gallate, and epicatechin gallate as pivotal biomarkers for effective tea classification within the principal cadre of tea catechins. Our outcomes distinctly underscore substantial dissimilarities in the specific compounds inherent to varying tea categories, as ascertained via the devised and duly validated approach. The implications of this compositional elucidation serve as a pertinent benchmark for the comprehensive assessment and classification of tea specimens.
Wire breakage is a major factor in the failure of prestressed concrete cylinder pipes (PCCP). In the presented work, an automatic monitoring approach of broken wires in PCCP using fiber-optic distributed acoustic sensors (DAS) is investigated. The study designs a 1:1 prototype wire break monitoring experiment using a DN4000 mm PCCP buried underground in a simulated test environment. The test combines the collected wire break signals with the previously collected noise signals in the operating pipe and transforms them into a spectrogram as the wire break signal dataset. A deep learning-based target detection algorithm is developed to detect the occurrence of wire break events by extracting the spectrogram image features of wire break signals in the dataset. The results show that the recall, precision, F1 score, and false detection rate of the pruned model reach 100%, 100%, 1, and 0%, respectively; the video detection frame rate reaches 35 fps and the model size is only 732 KB. It can be seen that this method greatly simplifies the model without loss of precision, providing an effective method for the identification of PCCP wire break signals, while the lightweight model is more conducive to the embedded deployment of a PCCP wire break monitoring system.
The low energy conversion efficiency of electromagnetic acoustic transducers (EMATs) is a critical issue in nondestructive testing applications. To overcome this shortcoming, a butterfly coil EMAT was developed and optimized by numerical simulation based on a 2-D finite element model. First, the effect of the structural parameters of the butterfly coil EMAT was investigated by orthogonal test theory. Then, a modified butterfly coil EMAT was designed that consists of three-square permanent magnets with opposite polarity (TSPM-OP) to enhance the signal amplitude. Finally, the signal amplitude obtained from the three types of EMATs, that is, the traditional EMAT, the EMAT optimized by orthogonal test theory, and the modified EMAT with TSPM-OP, were analyzed and compared. The results show that the signal amplitude achieved by the modified butterfly coil EMAT with TSPM-OP can be increased by 4.97 times compared to the traditional butterfly coil EMAT.
Acoustics , Transducers , Computer Simulation , Electromagnetic Phenomena
AIM: Reliable and valid predictors of malnutrition in patients with cirrhosis remain scarce, especially easily accessible blood indicators. Thus, this study aimed to investigate the validity of the sarcopenia index (serum creatinine/serum cystatin C × 100) as a tool in assessing the nutritional status of patients with cirrhosis. METHODS: This prospective cohort study included 109 patients with cirrhosis who were hospitalised in Renmin Hospital of Wuhan University from August 2020 to June 2021. Malnutrition was diagnosed by the Global Leadership Initiative on Malnutrition criteria. Multivariable logistic regression was used to examine the relationship between sarcopenia index and malnutrition. The area under the receiver operating characteristic curve was used to evaluate the diagnostic performance of sarcopenia index. By contrast, we evaluated the subjective global assessment and traditional nutrition-related indicators. RESULTS: Of the 109 included patients, 71 (65.1%) were diagnosed with malnutrition. The sarcopenia index was significantly lower in malnourished patients (56.39 ± 15.23) compared with well-nourished patients (74.95 ± 13.18, p < 0.001). In addition, the sarcopenia index was independently correlated with malnutrition (p < 0.001). The sarcopenia index was a good tool to predict malnutrition (area under curve = 0.833), which performed better than the subjective global assessment (area under curve = 0.782) and cholinesterase (area under curve = 0.812). A low sarcopenia index indicated longer hospital stay and higher risk of 90-day re-hospitalisation. CONCLUSION: Malnutrition is highly prevalent in this population. The sarcopenia index seems to be a good predictor in nutritional assessment of patients with cirrhosis.
Malnutrition , Sarcopenia , Humans , Sarcopenia/complications , Sarcopenia/diagnosis , Sarcopenia/epidemiology , Prospective Studies , Prevalence , Malnutrition/diagnosis , Malnutrition/epidemiology , Liver Cirrhosis/complications
OBJECTIVES: To investigate the relationship among baseline health-related quality of life (HRQoL), early changes in HRQoL from baseline to completion of the first cycle of chemotherapy, and prognosis in patients with advanced lung cancer. DESIGN: This was a prospective, observational study. SETTING: The study was conducted in a national cancer centre in South China. PARTICIPANTS: A total of 243 patients with chemo-naïve with advanced lung cancer were enrolled. INTERVENTION: None. PRIMARY AND SECONDARY OUTCOME MEASURES: The Functional Assessment of Cancer Therapy-Lung was used to assess HRQoL at baseline and at the end of the first cycle of chemotherapy. The Trial Outcome Index (TOI) and Lung Cancer Scale (LCS) were calculated as predictive indicators. Response to treatment was evaluated as per the Response Evaluation Criteria in Solid Tumors (RECIST) V.1.1. Survival data were gathered from follow-up to September 2019. RESULTS: Patients with 5-point or greater decreases in TOI (65% vs 48%, adjusted risk ratio (aRR)=2.19, 95% CI 1.09 to 4.41) or 2-point or greater decreases in LCS (72% vs 48%, aRR=3.29, 95% CI 1.50 to 7.22) from baseline to completion of the first cycle of chemotherapy were more likely to show stable or progressive disease than those whose HRQoL had improved. Baseline TOI ≤54 (80.0% vs 69.9%, adjusted hazard risk (aHR)=1.36, 95% CI 1.01 to 1.84) and LCS ≤21 (77.6% vs 72.5%, aHR=1.36, 95% CI 1.01 to 1.83) were associated with higher risk for death compared with TOI>54 and LCS>21. Area under the curve analysis indicated that early changes in LCS and baseline LCS scores could better predict response to treatment and overall survival than the corresponding TOI values. CONCLUSIONS: Higher pretreatment HRQoL scores could predict longer survival, while declining HRQoL values could predict unfavourable treatment outcome among patients with advanced lung cancer. The use of the LCS is recommended for the routine collection of patient-reported HRQoL. TRIAL REGISTRATION NUMBER: NCT01914120.
Carcinoma, Non-Small-Cell Lung , Lung Neoplasms , Carcinoma, Non-Small-Cell Lung/drug therapy , Humans , Lung Neoplasms/drug therapy , Prognosis , Prospective Studies , Quality of Life
The energy conversion of electromagnetic acoustic transducers (EMATs) is typically lower, which seriously restricts the application of EMATs in the field of non-destructive testing and evaluation. In this work, parameters of surface wave EMATs, including structural parameters and electrical parameters, are investigated using the orthogonal test method to improve the transducer's energy conversion efficiency. Based on the established finite element 2-D model of EMATs, the amplitude of the displacement components at the observation point of a plate is the optimization objective to be maximized with five parameters pertaining to the magnets, meander-line coils, and excitation signal as design variables. Results show that the signal amplitude of EMATs is 3.48 times on in-plane and 3.49 times on out-of-plane, respectively, compared with the original model. Furthermore, a new material (amorphous nanocrystalline material of type 1K107) is applied to optimize the magnetic circuit of EMATs and enhance the eddy current in an aluminum plate to increase the signal amplitude. Finally, the signal amplitudes obtained from the three types of models, that is, the original one, the optimization one after an orthogonal test, and the optimization one with the addition of magnetic concentrators, are analyzed and compared, indicating that the signal amplitude, compared with the original one, is 6.02 times on in-plane and 6.20 times on out-of-plane, respectively.
INTRODUCTION: Patient-reported outcomes (PROs) have been widely accepted in western countries. However, limited attention has been given to PROs in China due to a lack of research on the agreement between doctors' and patients' reports of adverse events. This study aims to reveal the perception gap of chemotherapy-induced adverse events between doctors and cancer patients in China. METHODS: An observational study was administered at Sun Yat-Sen University Cancer Center (SYSUCC). Totally, 200 adult cancer patients undergoing chemotherapy participated. Patient reports were collected by nurses via telephone. Doctor reports were collected by nurses based on their medical records. The agreement between doctors and patients was analyzed by Cohen's κ. RESULTS: Agreement between doctors and patients varied among different symptoms: 0.26 for nausea/vomiting, 0.49 for constipation, 0.63 for diarrhea, 0.65 for general pain, and 0.76 for rash. Doctors' underreporting rates were 70% for nausea/vomiting, 50% for diarrhea, 38% for rash, 33% for constipation, and 29% for general pain. CONCLUSIONS: The perception gap of chemotherapy-induced adverse events between doctors and patients exists in China, especially regarding subjective symptoms. Introduction of PROs in both clinical trials and routine clinical practice should be considered in China.
Antineoplastic Agents/adverse effects , Patient Reported Outcome Measures , China , Female , Humans , Male , Middle Aged , Patients , Perception , Physicians
This paper investigates chaos control for the brushless DC motor (BLDCM) system by adaptive dynamic surface approach based on neural network with the minimum weights. The BLDCM system contains parameter perturbation, chaotic behavior, and uncertainty. With the help of radial basis function (RBF) neural network to approximate the unknown nonlinear functions, the adaptive law is established to overcome uncertainty of the control gain. By introducing the RBF neural network and adaptive technology into the dynamic surface control design, a robust chaos control scheme is developed. It is proved that the proposed control approach can guarantee that all signals in the closed-loop system are globally uniformly bounded, and the tracking error converges to a small neighborhood of the origin. Simulation results are provided to show that the proposed approach works well in suppressing chaos and parameter perturbation.
BACKGROUND: "Gefitinib" is a first-generation epidermal growth factor receptor tyrosine-kinase inhibitor. More than half of patients receiving gefitinib develop acne-like eruption. Evozac(®) Calming Skin Spray (Evaux Laboratoires, Évaux-les-Bains, France) is made of Évaux thermal spring water and commonly used for the treatment of dermatological toxicities caused by anti-epidermal growth factor receptor therapy. The aim of the study reported here was to test the effect of Evozac Calming Skin Spray on the prevention of rash in patients receiving gefitinib. METHODS: Non-small-cell lung cancer patients preparing to initiate gefitinib therapy were randomly assigned to apply Evozac Calming Skin Spray or physiological saline to the face three times a day. The treatment was started on the same day as initiation of gefitinib therapy and continued for 4 weeks. RESULTS: A total of 51 patients in the Evozac Calming Skin Spray group and 50 patients in the physiological saline group completed the study per the protocol. The number of facial lesions peaked at the end of 3 weeks in both groups. There were significantly fewer lesions in the Evozac Calming Skin Spray group than in the physiological saline group at the end of 1 week (0.25 versus [vs] 1.10, P=0.031) and 3 weeks (6.67 vs 12.26, P=0.022). Patients from the Evozac Calming Skin Spray group also developed fewer facial lesions at the end of 2 weeks and 4 weeks, however, the difference was not statistically significant. At the end of 4 weeks, fewer patients from the Evozac Calming Skin Spray group developed rash of grade 2 or greater severity (17.6% vs 36.0%, P=0.037), or experienced rash-associated symptoms (13.7% vs 34.0%, P=0.017). CONCLUSION: Prophylactic treatment with Evozac Calming Skin Spray appears to decrease the number of facial lesions at the peak of the rash, reduce the incidence of grade 2 or more severe rash and relieve rash-associated symptoms.
To improve cancer pain management, the Medical Oncology Department of Sun Yat-sen University Cancer Center (SYSUCC) launched the Good Pain Management (GPM) Ward Program, which has been recognized by the Chinese Ministry of Health and promoted throughout the nation. This retrospective case-control study was designed to evaluate the effectiveness of the program. Patients diagnosed with malignant solid tumors with bone metastasis were eligible. Patients who were admitted 6 months before the initiation of the GPM program were used as the control group, and patients admitted 6 months after the initiation of the program were used as the GPM group. The pain-reporting rate and pain management index (PMI) were calculated. The pain levels before and after pain management were compared. A total of 475 patients (244 in the control group and 231 in the GPM group) were analyzed. The pain-reporting rate of the GPM group was significantly higher than that of the control group (62.8% vs. 37.7%, P < 0.001). The PMI of the GPM group was significantly higher than that of the control group (0.083 vs. -0.261, P < 0.001). Therefore, the GPM Ward Program improved the pain management of cancer patients and provided experience for improving cancer pain management in the future.
Bone Neoplasms , Pain Management/methods , Aged , Case-Control Studies , China , Humans , Medical Oncology , Neoplasms , Pain , Pain Measurement , Retrospective Studies
BACKGROUND: Rice and maize dwarf diseases caused by the newly introduced Southern rice black-streaked dwarf virus (SRBSDV) have led to severe economic losses in South China in recent years. The distribution and diversity of SRBSDV have not been investigated in the main rice and maize growing areas in China. In this study, the distribution of SRBSDV in China was determined by using reverse transcription-polymerase chain reaction (RT-PCR). RESULTS: Between 2009 and 2010, 2404 plant samples (2294 rice, 110 maize samples, and more than 300 cultivars) with dwarf symptoms were collected from fields in 194 counties of 17 provinces in China and SRBSDV was detected. The results indicated that 1545 (64.27%) of samples (both rice and maize) were infected with SRBSDV. SRBSDV was detected widely in Hainan, Guangdong, Guangxi, Yunnan, Guizhou, Chongqing, Fujian, Jiangxi, Hunan, Hubei, Anhui, Jiangsu, and Zhejiang provinces, which suggests SRBSDV is an important pathogen causing rice dwarfing diseases in South China. Phylogenetic analysis of 15 representative virus isolates revealed that SRBSDV isolates in China had high levels of nucleotide and amino acid sequence identities (>97.8%). CONCLUSIONS: SRBSDV spreads naturally in Yangtze River basin and south region, the location of the major rice production areas. In comparison, the virus rarely spreads north of Yangtze River in North China. Distribution of SRBSDV is consistent with the migrating and existing ranges of its vector WBPH, suggesting that SRBSDV might be introduced into South China along with the migration of viruliferous WBPH.
Genetic Variation , Oryza/virology , Plant Diseases/virology , Reoviridae/classification , Reoviridae/isolation & purification , Zea mays/virology , Capsid Proteins/genetics , China , Genotype , RNA, Viral/genetics , Reoviridae/genetics , Reverse Transcriptase Polymerase Chain Reaction , Sequence Analysis, DNA
