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At present, traditional Chinese medicine treatment is considered safe for treating peripheral facial paralysis (PFP). Acupuncture-only and acupuncture combined with tuina are widely used for this purpose. However, it is not clear whether acupuncture combined with tuina is better for treating PFP than acupuncture-only. Conventional meta-analysis and network meta-analysis were used to compare the clinical efficacies of acupuncture combined with tuina and acupuncture-only in the treatment of PFP. Randomized controlled trials (RCTs), with the subjects being patients with PFP and treatment interventions including acupuncture combined with tuina, acupuncture-only, tuina-only, placebo, single Western medicine, and steroids combined with other Western medicine were searched from both Chinese and English databases. The primary outcomes included Modified House–Brackmann (MHBN) scores and Sunnybrook Facial Grading System, whereas the secondary outcomes included cure time, Portmann scores, and physical function scale of Facial Disability Index, using conventional meta-analysis and network meta-analysis. The study included 22 RCTs with a sample size of 1814 patients. The results of conventional meta-analysis (MD = 16.12, 95%CI 13.13,19.10) and network meta-analysis (MD = 14.53, 95%CI 7.57,21.49) indicate that acupuncture combined with tuina was better than acupuncture-only in improving MHBN and shortening the cure time (MD = − 6.09, 95%CI − 7.70, − 4.49). Acupuncture combined with tuina was the optimal therapy for improving MHBN (SUCRA was 100%) and shortening the cure time (SUCRA was 100%). The results of this meta-analysis indicate that acupuncture combined with tuina can significantly improve MHBN and shorten the cure time, compared with acupuncture-only. However, the current evidence is insufficient, and more high-quality clinical studies are needed. Registration: This study had been registered with PROSPERO (CRD42022379395). [ABSTRACT FROM AUTHOR]

Increasingly, non-pharmacological interventions are being identified and applied to post-stroke dysphagia. Nevertheless, there is insufficient evidence to assess which type of interventions are more effective. In this study, the randomized controlled trials of non-pharmacological interventions on post-stroke dysphagia were retrieved from the relevant databases. Including 96 studies and 12 non-drug treatments. Then, and the network meta-analysis is carried out by statistical software. The results show: In the aspects of videofluoroscopic swallowing study (VFSS), Standardized Swallowing Assessment (SSA), swallowing-quality of life (SWAL-QOL), Water swallow test (WST); Acupuncture + electrotherapy + rehabilitation training, acupuncture + rehabilitation training + massage, electrotherapy + rehabilitation training, acupuncture + electrotherapy + rehabilitation training, electrotherapy, acupuncture + rehabilitation training + acupoints sticking application have significant effects in post-stroke dysphagia. Compared with other interventions, they have more advantages in improving the above indicators. A substantial number of high-quality randomized clinical trials are still necessary in the prospective to validate the therapeutic effectiveness of non-pharmacological interventions in post-stroke dysphagia and the results of this Bayesian network meta-analysis. [ABSTRACT FROM AUTHOR]

Facilitated by the supramolecular synthons of carboxylic acids and amides through cooperative hydrogen‐bonding and arene–perfluoroarene interactions, the azide–alkyne cycloaddition reaction between two different molecules in a cocrystal was achieved. This reaction could be accelerated by pressure using a common hydraulic press equipment with excellent regioselectivity to yield 1,4‐triazole products. The absence of decarboxylation side reactions in the products in the solid state demonstrated that this strategy can provide a green synthetic route for products not directly accessible by traditional syntheses in solution. [ABSTRACT FROM AUTHOR]

The ring-opening reaction of phenolphthalein (PP) crystals under hydrostatic pressure provided by using a diamond anvil cell (DAC) is described in this paper for the first time. The color of the crystals changed into red from colorless visibly. The ring-opening threshold pressures could be adjusted by changing the substituent groups. Mechanochromic responses under hydrostatic pressure could also be achieved in polymer blends, which contributes to their practical applications. [ABSTRACT FROM AUTHOR]

In order to satisfy the needs of constant economic growth, the pressure to exploit natural resources has been increasing rapidly in China. Particularly with the implementation of the National Western Development Strategies since 1999, more and more mining activities and related infrastructure constructions have been conducted on the Tibetan Plateau (TP). Mining activities are known to have substantial impacts on plant dynamics and hence the water and energy cycles. Identifying mining activities and quantifying their effects on vegetation cover are critical to the monitoring and protection of the pristine TP environment. Thus, this study aims to develop an automated approach that detects the timing of initial mining development and assess the spatial distribution of mining-ruined vegetation. The Breaks for Additive Seasonal and Trend (BFAST) algorithm was used to decompose the signal in the normalized difference vegetation index (NDVI) time series derived from high-frequency MODIS images, and to detect abrupt changes of surface vegetation. Results show that the BFAST algorithm is able to effectively identify abrupt changes in vegetation cover as a result of open-mining development on the studied alpine grassland. The testing study in Muli Town of Qinghai Province shows that the mining development began in 2003 and massive destructions of vegetation cover followed between 2008 and 2012. The integrated use of Landsat imagery and multi-temporal DEMs further reveals detailed areal and volumetric changes in the mining site. This study demonstrates the potential of applying multi-mission satellite datasets to assess large-scale environmental influences from mining development, and will be beneficial to environmental conservation and sustainable use of natural resources in remote regions. [ABSTRACT FROM AUTHOR]