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#author("2024-12-07T08:35:49+09:00","","") This work demonstrated the development of nanofiber templated metal oxide nanocomposites by hydrothermal and calcination methods for photocatalytic degradation using Congo red (CR) as model pollutant. Herein, we developed PAN/CuO-ZnO nanocomposites by the electrospinning technique followed by heat treatment process i.e hydrothermal and calcination. The obtained nanofibrous composites were characterized by various analytical techniques such as X-Ray Diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), Thermogravimetric analysis (TG), High-resolution transmission electron microscopy (HRTEM), X-ray photoelectron spectroscopy (XPS), Photoluminescence (PL) and UV-Vis diffuse reflectance spectroscopy (DRS) studies. The results demostrated that the nanocomposites obtained through calcination possess better optical response with robust electronic structures. This is due to the better charge separation of excited electron-hole pairs of p-n heterostructured PAN/CuO-ZnO hybrid nanocomposites. The photocatalytic efficiency is found to be 98% and 93% for nanocomposites obtained through calcination and hydrothermal methods respectively. The reusability studies confirmed the stability and viability of multiple utilizations of photocatalysts. Furthermore, the photocatalytic mechanism corroborated the photocatalytic properties of the integrated facile nanofibrous-metallic (PAN/CuO-ZnO) composites and hence can be implemented in water remediation effectively.Exposure to outdoor fine particulate matter (PM2.5)-bound polycyclic aromatic hydrocarbons (PAHs) is linked to reproductive dysfunction. However, it is unclear which component of PAHs is responsible for the adverse outcomes. In the Male Reproductive Health in Chongqing College Students (MARHCS) cohort study, we measured the exposure levels of 16 PAHs by collecting air PM2.5 particles and assessed eight PAHs metabolites from four parent PAHs, including naphthalene, fluorene, phenanthrene, and pyrene in urine samples. We investigated compositional profiles and variation characteristics for 16 PAHs in PM2.5, and then assessed the association between PAHs exposure and semen routine parameters, sperm chromatin structure, and serum hormone levels in 1452 samples. The results showed that naphthalene (95% CI -17.989, -8.101), chrysene (95% CI -64.894, -47.575), benzo[a]anthracene (95% CI -63.227, -45.936) and all the high molecular weight (HMW) PAHs in PM2.5 were negatively associated with sperm normal morphology. Mo may be a potential risk factor for male reproductive health.To adapt to the reality of limited computing resources of various terminal devices in industrial applications, a randomized neural network called stochastic configuration network (SCN), which can conduct effective training without GPU, was proposed. https://www.selleckchem.com/products/pki587.html SCN uses a supervisory random mechanism to assign its input weights and hidden biases, which makes it more stable than other randomized algorithms but also leads to time-consuming model training. To alleviate this problem, we propose a novel bidirectional SCN algorithm (BSCN) in this paper, which divides the way of adding hidden nodes into two modes forward learning and backward learning. In the forward learning mode, BSCN still uses the supervisory mechanism to configure the parameters of the newly added nodes, which is the same as SCN. In the backward learning mode, BSCN calculates the parameters at one time based on the residual error feedback of the current model. The two learning modes are performed iteratively until the prediction error of the model reaches an acceptable level or the number of hidden nodes reaches its maximum value. This semi-random learning mechanism greatly speeds up the training efficiency of the BSCN model and significantly improves the quality of the hidden nodes. Extensive experiments on ten benchmark regression problems, two real-life air pollution prediction problems, and a classical image processing problem show that BSCN can achieve faster training speed, higher stability, and better generalization ability than SCN.There has been no systematic review evaluating the efficacy of electromyography (EMG) biofeedback after knee surgery recently. This meta-analysis aimed to determine whether EMG-biofeedback is effective for improving the range of motion (ROM), physical function, and pain relief in patients after knee. Randomized controlled trials (RCTs) assessing the effect of EMG-biofeedback after any knee surgery were retrieved from EMBASE, PubMed, Cochrane Library, Physiotherapy Evidence Database, ClinicalTrials.gov, ProQuest. This review identified 773 unique studies, and six RCTs were in the final meta-analysis. EMG-Biofeedback treatment has a significant difference compared to other rehabilitation therapy in knee ROM improving (SMD = -0.48, 95% CI = -0.82 to -0.14, p = 0.006, I2 = 37%). Moreover, there was no significant difference in pain (SMD = -0.33, 95% CI = -0.67 to0.02, p = 0.07, I2 = 41%) and physical function scores (MD = 1.83, 95% CI = -3.48 to7.14, p = 0.50, I2 = 0%). The results illustrate that EMG-biofeedback can improve knee ROM in patients after knee surgery. However, it is not superior to other rehabilitation methods for pain relief and physical function improvement.An increase in the stiffness of the coracobrachialis muscle can restrain proper movement of the glenohumeral joint and scapula during arm elevation. Therefore, muscle stiffness should be reduced through stretching. The aim of this study was to determine the effective stretching position of the coracobrachialis muscle using ultrasound shear wave elastography imaging to evaluate the stiffness of individual muscles. Eighteen healthy young men participated in this study. The shear modulus of the coracobrachialis muscle was measured at the following eight shoulder positions i) 20° abduction (Rest), ii) maximal external rotation at 90° abduction (ER2), iii) maximal internal rotation at 90° abduction (IR2), iv) maximal flexion (Flex), v) maximal extension (Ext), vi) maximal horizontal abduction at 90° abduction (Hab), vii) maximal horizontal abduction and maximal external rotation at 90° abduction (HabER), and viii) maximal horizontal abduction and maximal internal rotation at 90° abduction (HabIR). The shear modulus in each position was compared with that of Rest using the Wilcoxon signed-rank test, and a multiple comparison test was performed among the positions that exhibited significant difference.
