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Objective To explore the effectiveness of different knee arthroscopic medial collateral ligament release techniques in the treatment of patients with medial meniscus posterior horn injury and their prognoses. Methods A total of 54 patients with medial meniscus posterior horn injury who underwent surgical treatment at the Department of Sports Medicine in our hospital from June to August 2021 were enrolled. They were divided into group A (who underwent knee arthroscopic percutaneous outside-in, superficial release) and group B (who underwent knee arthroscopic inside-out, anteromedial release) based on the conditions and wishes of the patients. The two groups of patients were recorded and compared for surgical duration and follow-up outcomes of the following indices at 1, 3, and 12 months after surgery: local symptom duration, visual analogue score of knee pain, Lysholm score of knee joints, International Knee Documentations Committee Rating System-based score, and knee joint range of motion score. Results There was no significant difference in surgical duration between the two groups of patients (P>0.05), but the local symptom duration in group B was significantly shorter than that in group A (t=11.950,P0.05). Conclusion For patients with simple medial meniscus posterior horn injury, it is recommended to use knee arthroscopic anteromedial inside-out, superficial release if the surgeons are confident of the condition.

Pre-harvest yield prediction of ratoon rice is critical for guiding crop interventions in precision agriculture. However, the unique agronomic practice (i.e., varied stubble height treatment) in rice ratooning could lead to inconsistent rice phenology, which had a significant impact on yield prediction of ratoon rice. Multi-temporal unmanned aerial vehicle (UAV)-based remote sensing can likely monitor ratoon rice productivity and reflect maximum yield potential across growing seasons for improving the yield prediction compared with previous methods. Thus, in this study, we explored the performance of combination of agronomic practice information (API) and single-phase, multi-spectral features [vegetation indices (VIs) and texture (Tex) features] in predicting ratoon rice yield, and developed a new UAV-based method to retrieve yield formation process by using multi-temporal features which were effective in improving yield forecasting accuracy of ratoon rice. The results showed that the integrated use of VIs, Tex and API (VIs & Tex + API) improved the accuracy of yield prediction than single-phase UAV imagery-based feature, with the panicle initiation stage being the best period for yield prediction (R2 as 0.732, RMSE as 0.406, RRMSE as 0.101). More importantly, compared with previous multi-temporal UAV-based methods, our proposed multi- temporal method (multi-temporal model VIs & Tex: R2 as 0.795, RMSE as 0.298, RRMSE as 0.072) can increase R2 by 0.020–0.111 and decrease RMSE by 0.020–0.080 in crop yield forecasting. This study provides an effective method for accurate pre-harvest yield prediction of ratoon rice in precision agriculture, which is of great significance to take timely means for ensuring ratoon rice production and food security.

Image encryption technology plays an important role in today’s multimedia applications and Internet information security transmission.However, most image encryption algorithms still have problems, for example, cipher images occupied high bandwidth during transmission, image encryption speed is slow, image encryption algorithms are not associated with plain image, and there is no complete ciphertext feedback mechanism.These problems all affect the security and easy use of image encryption algorithms.In order to solve the above problems, the compressive sensing technology and chaotic system were studied, and a new image encryption algorithm based on double chaotic system and compressive sensing with plaintext association was proposed.The plaintext image association key was used to associate the plain image hash value with the Logistic chaotic system parameters.Discrete wavelet transform, was used to sparse the plain image.Then the random measurement matrix was generated by the Logistic chaos system, and the image was encrypted once by combining the compressive sensing technique and the random measurement matrix to obtain the intermediate image.The intermediate image was hashed again, and the Rucklidge chaos system initial value was associated with the plain image hash value together.The Rucklidge chaotic system and encryption algorithm were used to control the intermediate image for secondary encryption and accordingly obtain the cipher image.The encryption algorithm was a new plaintext correlation encryption algorithm, which used the image’s own pixel value to control the scrambling of the intermediate image.It also enhanced the plaintext association and established a ciphertext feedback mechanism.Simulation results and performance analysis show that the algorithm has good encryption performance.The encrypted image can be compressed according to the compression ratio, effectively reducing the size of the cipher image.Moreover, it is resistant to common attacks such as known plaintext attack, selective plaintext attack and differential attack, which is better than other common image encryption algorithms.

Protein fractionation and purification remain challenging in membrane separation. Herein, a pH-responsive membrane was developed by grafting the brush-like poly(dimethylaminoethyl methacrylate) (PDMAEMA) via ATRP onto the ethylene vinyl alcohol copolymer (EVAL) membrane for protein fractionation. The PDMAEMA brushes are distributed in all pore channels of the membrane. Based on the electrostatic and sieving properties of the as-prepared pH-responsive membrane, three milk proteins are successfully separated from their mixture. The [alpha]-Lactalbumin ([alpha]-LA) preferentially permeates the membrane from the mixture at pH 3.2, and the bovine serum albumin (BSA) and lactoferrin (LF) can be separated at pH 6.4 based on the selective adsorption. This work proposes a promising candidate for protein separation by a pH-responsive membrane. KEYWORDS atom transfer radical polymerization (ATRP), membranes, proteins, separation techniques, 1 | INTRODUCTION The worldwide demand for protein therapeutics and food industries has increased rapidly in recent years with the development of growing market opportunities. Purification and recovery of proteins [...]