Journal of Radiation Research and Applied Sciences最新文献

To investigate the correlation between the duration of medial meniscus posterior horn tear (MMPHT) disease and medial meniscus extrusion (MME) to calculate the rate of progression of MME and to predict cartilage damage in the medial tibiofemoral joint. The differences in MME, MJSW, and MME/MMBW between the two MRI examinations were statistically significant (P < 0.001). Follow-up MRI showed increased cartilage damage grading of medial femoral condyle (MFC) and medial tibial plateau (MTP) from the first examination (P < 0.001). The incidence of grade 2–4 cartilage damage in patients increased by 15.0% and 11.7%, respectively.There was a significant correlation between the ΔMME and MRI examination interval (R2 = 0.868); the rate of MME progression showed an increase of 0.026 ± 0.034 mm per month. The cut-off values for predicting cartilage damage in the MTP and MFC were 0.012 and 0.008, respectively. The ΔMME gradually increases with the prolonged duration of MMPHT. MME progression rate can validly predict cartilage damage in the medial tibiofemoral joint. These findings suggest that monitoring the rate of MME progression in patients with MMPHT could be a useful predictor of cartilage damage, potentially aiding in early intervention and management strategies.

The severity and complexity of infection after renal transplantation have an important impact on the health and survival prognosis of patients. As an important auxiliary tool, the purpose of this study was to investigate the application and effect of radiography diagnosis in perioperative infection treatment and nursing intervention of kidney transplant recipients. Radiographic diagnosis acquires the patient's image data, evaluates the quality of the image, ensures that the image is clear enough to make an accurate diagnosis, and understands the structure shown in the image to accurately locate the patient's abnormalities or lesions. The early location and accurate diagnosis of perioperative infection of kidney transplant recipients were successfully realized by collecting cases of perioperative infection of kidney transplant recipients and using radiographic diagnosis technology. The use of high-grade antibiotics does not significantly reduce the infection rate of patients. The application of radiographic diagnostic technology in perioperative infection treatment and nursing of kidney transplant recipients is helpful to accurately evaluate the infection site, infection degree and infection type, and guide the selection of reasonable treatment and intervention measures. Radiographic diagnostic technology can also detect and evaluate complications in time, and MMF + CsA + hormone immunosuppression regimen is selected both during and after surgery.

Road recognition and extraction based on high-resolution remote sensing images is currently a hot issue at the forefront of image processing and other disciplines, and its results not only help to enrich geographic information, but also have important application value in national defence construction and other aspects. For the intelligent extraction of roads in high-resolution remote sensing images, the study firstly preprocesses these images, and then extracts the roads by using variational function and support vector machine. As the extraction results are not satisfactory enough, the 3D wavelet transform technique is used to extract the spectral features of roads in the frequency domain, combined with the texture in the time domain, and optimized the support vector machine in order to extract the road images more accurately. The outcomes denote that in contrast with other methods, the optimized method can have optimal correctness and quality while guaranteeing higher integrity. The satellite road image of Chengdu A industrial park is rich in extracted information, having the highest completeness of 94.23%, correctness of 60.73%, and quality of 59.42%, and the satellite road image of Chengdu B industrial park is similarly rich in extracted information, having the highest completeness of 83.47%, correctness of 85.31%, and quality of 72.85%. The highest value of CPU usage for road extraction was 2000 kb at 37 s, and the average value of CPU usage for the whole 60 s was 500 kb. It shows that the research method has good results in high resolution remote sensing image road extraction.

While gamma radiation presents significant hazards, the development of reliable shielding materials is demanded. This research study aims to investigate the gamma attenuation and buildup factors of transparent glass ceramics with the composition described by the formula of 99 [60GeO₂ + (40-y)Ga₂O₃ + yGd₂O₃] +1Nd₂O₃, with y = 13,15,17, and 19 mol%. The basic gamma attenuation factor, namely mass attenuation coefficient (MAC), is calculated theoretically by using WinXCOM. By using MAC values, obtained by WinXCOM, we estimated the other gamma attenuation factors such as effective atomic number (Z_eff) and electron density (N_eff). Moreover, the absorption parameters, such as mass energy-absorption coefficient (MEAC), and buildup factors are also evaluated. It is found that the highest Z_eff values are observed at 0.015 MeV with the values of 37.648, 38.618, 39.577, and 40.528 for GN1, GN2, GN3, and GN4 respectively. Moreover, the Gd₂O₃ content has a significant effect to improve the attenuation capacity of the studied samples.

In order to better preserve the details and texture information in the image, a dual scale real image blind denoising algorithm based on partial differential equations is studied. Input real image information, perform small-scale denoising based on differential curvature partial differential equations, and combine with a new diffusion coefficient function to distinguish the edges, flat areas, and noise of the image, allowing the algorithm to retain more subtle information such as weak edges and textures while removing noise. For the large-scale information in the input real image, a multi-stage partial differential equation is used for denoising processing. Based on the mixed denoising method of 8-neighborhood and implicit curvature, a weight function is constructed to control the proportion of the two types of equations in image denoising, effectively achieving the goal of large-scale image denoising. The experimental results show that in the MATLAB coding platform, this algorithm can eliminate different types of noise, preserve more edge and detail information of the image, and improve the registration and recognition accuracy in the image application process.

To improve the thermal management systems in industrial operations, there is a need for the prediction and complexity of advanced fluid motion across various physical conditions on different geometries. Further, ternary nanofluid flow across curved Riga surfaces plays a significant role in thermal management systems, chemical industries, thermal management systems, biomedical, environmental engineering, and more. Based on the above importance the current study focuses artificial neural network (ANN) model on the ternary nanofluid flow over a curved Riga surface in the presence of chemical reaction and activation energy. Proper assumptions and boundary layer approximation were used to develop the model. Using appropriate similarity variables, the governing equations are further simplified to ordinary differential equations (ODEs). Runge Kutta Fehlberg's 4th-5th order and shooting process are applied to solve the simplified equations. The primary objective is to improve the construction and optimization of thermal administration systems and other manufacturing procedures by gaining a deeper knowledge of the fluid motion and characteristics of heat transfer involved. Graphs are used to provide additional context for the important dimensionless constraints. The obtained data was utilized to train the ANN model, which was then verified towards numerical values of important engineering coefficients. The results reveal that the addition of solid volume fraction will enhance the thermal profile while declining the concentration profile. The reaction rate parameter will decline the concentration, and a reverse trend is seen for the activation energy parameter. The constructed model exhibits an outstanding degree of precision throughout the procedure, spanning all phases of the research.

Aim

To investigate the potential radioprotective effects of Myrtus communis on brain tissue.

Methods

Thirty female rats were divided into four groups. The control group (C) was applied with oral saline solution (SF) for four days. Myrtus communis (MC) groups started to receive MC (100 mg/kg, oral) either four days before (R + preMC) or immediately after (R + MC) irradiation for four days. Irradiation was applied 10 Gy in a single fraction. All rats were sacrificed on the fourth day of irradiation. Malondialdehyde (MDA), nitric oxide (NO), and glutathione (GSH) levels, myeloperoxidase (MPO), superoxide dismutase (SOD), and tissue factor activities (TFa) were determined for biochemical analysis. Hematoxylin&Eosin staining was done for histopathological analyses, and electrophoretic analyses were performed.

Results

NO, MDA, and MPO levels were higher in all irradiated groups compared with the C group. MC administration decreased NO, MDA, and MPO levels in R + preMC and R + MC groups. MC administration increased GSH levels. TFa activity decreased in R groups but did not change with MC administration compared to the C group. Radiation-induced brain tissue injury decreased, and morphologically normal neurons were observed in both MC-added groups.

Conclusion

Myrtus communis has a potential neuroprotective effect on brain tissue, attributed to its antioxidative, anti-inflammatory, and anti-lipid peroxidative properties.

To explore the effects of Forsythia suspensa and Chrysanthemum indicum extracts on blood pressure as well as hepatic and renal functions of hypertensive rats and to optimize the most beneficial combination of the two herbs to achieve this goal. After hypertension was observed, rats were administrated with extracts of F. suspensa and C. indicum by gastric perfusions at doses of 20 mL/kg, for fourteen days. On the fourteenth day, rats were fasted for 12 h and then blood was collected from the eyeballs for serum measurement of alanine transaminase, aspartate aminotransferase, alkaline phosphatase, albumin, total cholesterol, triglycerides, very low density lipoprotein, sodium, potassium and creatinine. Hepatic and renal tissue were harvested and processed into paraffin blocks for observation. F. suspensa and C. indicum at a ratio of 2:1 was the most effective with respect to liver repair in the hypertensive rats (p < 0.05). Both plant extracts decreased serum lipids and creatinine with the ratio of 2:1 of the two extracts being the most beneficial (p < 0.05). A synergistic effect on decreasing blood pressure and protection of the liver was observed in the hypertensive rats when extracts of F. suspensa and C. indicum were administered in combination. F. suspensa and C. indicum at a ratio of 2:1 was the most effective.

The purpose of this study was to investigate the application of radiography in patients with COPD and analyze its value in diagnosis and evaluation. During radiological X-rays, patients wear specific lead protective equipment to reduce radiation exposure and obtain images from different angles and fields of view. The obtained X-ray images were evaluated and analyzed to examine the structural and morphological features of the lung tissue. In this study, the treatment scheme of naloxone combined with salbutamol combined with non-invasive ventilator was adopted, which improved the effectiveness and accuracy of treatment by supporting the computer medical image segmentation recognition system. The analysis results showed that the respiratory function of patients in naloxone combined with non-invasive ventilation treatment group was significantly improved after treatment, and the lung image characteristics also had positive changes. Compared with the conventional treatment group, naloxone combined with noninvasive ventilation has significant advantages in improving ventilation function and reducing pulmonary disease in COPD patients. Naloxone combined with non-invasive ventilation based on medical image recognition has the potential to improve the condition of COPD patients and predict treatment response. The results of this study provide a new idea for the treatment of COPD patients and provide a reference for further optimization of treatment.

The natural radioactivity (²²⁶Ra, ²³²Th, and ⁴⁰K) levels of some medicinal plants and soils in the Sundarban mangrove ecosystem in Bangladesh were assessed for the first time using gamma-ray spectrometry. Depth-wise activity concentration variations for most of the soil cores indicate an increase in radiological contamination in recent years. Although some radiological hazard parameters for soils are higher than the global average values, excess lifetime cancer risk values are below the acceptable limit. The activity concentrations of ²²⁶Ra, ²³²Th, and ⁴⁰K in the studied medicinal plant leaves varies from 9.03 ± 3.01 to 66.9 ± 8.2 Bq kg⁻¹, 25.3 ± 5.0 to 155 ± 16 Bq kg⁻¹, and 68.1 ± 8.3 to 139 ± 12 Bq kg⁻¹, respectively. For the studied medicinal plants, the soil-to-plant transfer factors of ²²⁶Ra, ²³²Th, and ⁴⁰K ranged from 0.20 to 1.36, 0.27 to 2.08, and 0.036 to 0.108, respectively. This study indicates that people's consumption of medicinal plants is radiologically safe. The present study assessed radiological risks to develop new strategies to save the sensitive Sundarban ecosystem.