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Permanent magnet checking of top soil as well as block airborne dirt and dust in Xinyang (The far east) in addition to their ecological significance.
[Purpose] Patellofemoral pain (PFP) is a common musculoskeletal complaint. It has been suggested that hip adduction creates a load on the iliotibial band and causes lateral displacement of the patella (patella tilt). However, data gathered in a previous study were derived from a small sample of males, while the condition predominantly affects females. We assessed the relationship between hip adduction and patellar position with a larger sample size, including males and females. [Participants and Methods] Forty healthy, asymptomatic females and males (age 21.5 ± 1.3 years) were recruited. Their knees were passively flexed by 20°. Using ultrasound, the distance between the lateral edge of the patella and the lateral condyle of the femur was measured in the neutral position and at 20° adduction. [Results] Hip adduction produced a smaller patella-lateral femoral condyle measurement than in the neutral position. The mean difference in the patella-condyle distance between the neutral position and 20° hip adduction was 0.18 cm. No statistically significant difference was found between the right and left limbs, genders, Tegner scores, or BMI of the study participants. [Conclusion] The results of the study showed that hip adduction causes lateral displacement of the patella. Ultrasound is an effective means of assessing patella tilt.[Purpose] The aim of the study is to evaluate the efficacy of dry needling (DN) in the treatment of spasticity in patients with multiple sclerosis (MS). [Participants and Methods] Twelve participants (3 males and 9 females) with MS, with no evidence of a relapse in the last four weeks and with an EDSS (Expanded Disability Status Scale) greater than 2.5 points (related with pyramidal score) were recruited. DN was performed in lower limbs for 12 consecutive sessions and evaluated with PSFS (Penn Spasm Frequency Scale), VAS (visual analogical scale) of spasticity, EDSS (Pyramidal item), Time up and go (TUG), 25 foot, 9hold peg test (9HPT) and the improvement or not in the quality of life (MSQol54) was verified before and after treatment. A follow up visit was carried out to assess improvement. [Results] All patients improved in VAS scale, EDSS score, quality of life, 9HPT, 25 foot test and TUG and 90% of them showed a decrease in the number of spasms/hour (PSFS). [Conclusion] Dry needling produces positive changes in spasticity in patients with MS and their quality of life, as well as walking capacity and manual dexterity. Therefore, DN should be considered in the treatment of spasticity in patients with MS.We aimed to evaluate the performance of convolutional neural networks (CNNs) in the classification of coronavirus disease 2019 (COVID-19) disease using normal, pneumonia, and COVID-19 chest radiographs (CXRs). First, we collected 9194 CXRs from open datasets and 58 from the Korea University Anam Hospital (KUAH). GSK046 The number of normal, pneumonia, and COVID-19 CXRs were 4580, 3884, and 730, respectively. The CXRs obtained from the open dataset were randomly assigned to the training, tuning, and test sets in a 701020 ratio. For external validation, the KUAH (20 normal, 20 pneumonia, and 18 COVID-19) dataset, verified by radiologists using computed tomography, was used. Subsequently, transfer learning was conducted using DenseNet169, InceptionResNetV2, and Xception to identify COVID-19 using open datasets (internal) and the KUAH dataset (external) with histogram matching. Gradient-weighted class activation mapping was used for the visualization of abnormal patterns in CXRs. The average AUC and accuracy of the multiscale and mixed-COVID-19Net using three CNNs over five folds were (0.99 ± 0.01 and 92.94% ± 0.45%), (0.99 ± 0.01 and 93.12% ± 0.23%), and (0.99 ± 0.01 and 93.57% ± 0.29%), respectively, using the open datasets (internal). Furthermore, these values were (0.75 and 74.14%), (0.72 and 68.97%), and (0.77 and 68.97%), respectively, for the best model among the fivefold cross-validation with the KUAH dataset (external) using domain adaptation. The various state-of-the-art models trained on open datasets show satisfactory performance for clinical interpretation. Furthermore, the domain adaptation for external datasets was found to be important for detecting COVID-19 as well as other diseases.Blur is a key property in the perception of COVID-19 computed tomography (CT) image manifestations. Typically, blur causes edge extension, which brings shape changes in infection regions. Tchebichef moments (TM) have been verified efficiently in shape representation. Intuitively, disease progression of same patient over time during the treatment is represented as different blur degrees of infection regions, since different blur degrees cause the magnitudes change of TM on infection regions image, blur of infection regions can be captured by TM. With the above observation, a longitudinal objective quantitative evaluation method for COVID-19 disease progression based on TM is proposed. COVID-19 disease progression CT image database (COVID-19 DPID) is built to employ radiologist subjective ratings and manual contouring, which can test and compare disease progression on the CT images acquired from the same patient over time. Then the images are preprocessed, including lung automatic segmentation, longitudinal registration, slice fusion, and a fused slice image with region of interest (ROI) is obtained. Next, the gradient of a fused ROI image is calculated to represent the shape. The gradient image of fused ROI is separated into same size blocks, a block energy is calculated as quadratic sum of non-direct current moment values. Finally, the objective assessment score is obtained by TM energy-normalized applying block variances. We have conducted experiment on COVID-19 DPID and the experiment results indicate that our proposed metric supplies a satisfactory correlation with subjective evaluation scores, demonstrating effectiveness in the quantitative evaluation for COVID-19 disease progression.A famous letter from Sir William Osler to Ira Remsen, dated September 1, 1911, concerns Osler's objections to the full-time plan, whereby clinical professors should focus on research and abstain from private practice. Previous accounts of this well-known episode make little or no mention of the recipient other than his being president of the Johns Hopkins University. Remsen, in retrospect, was uniquely positioned to champion ideas advanced by Abraham Flexner, the General Education Board of the Rockefeller Foundation, and some of Osler's former colleagues at Johns Hopkins, notably William H. Welch. Remsen had previously expressed the need for Hopkins to advance science-based medicine; he had introduced Abraham Flexner to the Carnegie Foundation (which led to the Flexner Report); and he appears to have been the first US-born person to possess both a medical degree and a doctorate in basic science. Caught in the middle of a faculty controversy, Remsen chose not to pursue the matter further for reasons that included a passive administrative style, concerns about his health, and friendship with Osler.
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