Introduction: Understanding how mangroves respond to rare cold events has implications for both restoration and conservation under climate change scenarios. This study investigated the responses of photosynthesis and activities of key enzymes involving carbon and nitrogen metabolism at different ages of Kandelia obovata to a rare cold event in the winter of 2010. Methods: This study took place on Ximen Island, Zhejiang Province, China. We measured the physiological recovery of 2-3-, 5-6-, 9-10-and 54-55-year-old K. obovata trees after freezing injury in February and March in 2011 and 2012, respectively. Results: Chilling injury index and electrolyte leakage of K. obovata increased with increasing tree age in the winter of 2010, and electrolyte leakage in K. obovata at different ages in the winter of 2010 was far higher than that in the winter of 2011. The rare cold events significantly changed the recoveries of the leaf net photosynthetic rate (Pn) and stomatal conductance (Gs); ratios of chlorophyll a/chlorophyll b (Chl a/Chl b); contents of total soluble sugar (TSS), sucrose, free amino acid (FAA), and soluble protein; and activities of sucrose phosphate synthase (SPS), endopeptidase, and carboxypeptidase in K. obovata at different ages. These effects were mainly due to changes in the physiological mechanism in the 2-year-old trees. A clear decrease in Pn of the 2-year-old trees was observed in February 2011, as exemplified by reductions in ratios of Chl a/Chl b and chlorophyll/carotenoid (Chl/Car), as well as inhibition of the levels of TSS and FAA (osmotic substances). During recovery in 2011 and 2012, the activities of SPS and sucrose synthase (SS) were responsible for sucrose synthesis after the rare cold events in 2011, but only SPS activity was one of the main factors contributing to the metabolism of stachyose to sucrose without cold damage in 2012. Carboxypeptidase played a more important role than endopeptidase during protein hydrolysis after the rare cold events.
With the advent of the era of big data, the amount of information shows an exponential explosive growth trend. At the same time, the personalized needs of users are increasing. Facing the massive data, how to help users quickly and accurately obtain the information they need is the main challenge facing them at present. With the rapid development of computer technology and communication technology, mobile teaching and deep learning have become new research hotspots in the field of education. Mobile education has become a very fashionable education mode, which not only brings modern people a more convenient education system, but also makes modern learners need not worry about learning time and content. Traditional recommendation methods generally have problems such as sparse data, cold start and difficulty in feature extraction. On the basis of expounding the concept, connotation and main characteristics of deep learning, this paper applies deep learning theory to mobile recommendation system, hoping to gradually improve and promote the existing mobile education and provide an effective learning way and method for learners.
Background Raynaud’s syndrome (RS) is a rare autonomic nervous system disorder and is also known as Raynaud’s disease, cold agglutinin disease, etc. With the evolution of microsurgical techniques, undergoing minimally invasive surgery in combination with adventitial release and sympathectomy for the affected limbs greatly improves locoregional blood circulation and neurological function. Methods A retrospective study was conducted on RS patients who reported to the Department of Hand & Foot Surgery (Microsurgery), Binzhou Medical University Hospital. The patients were divided into experimental and control groups. Fifteen (5 of whom had fingertip soft tissue necrosis, with no phalangeal exposure or infection) experimental group patients underwent microscopic adventitial release and sympathectomy. They were given nifedipine, conventional lamp, and heat therapies for the affected fingers during the perioperative period, followed by postoperative analgesic drugs. Fifteen control group patients who refused surgery or were treated non-surgically underwent treatment with nifedipine, conventional lamp, and heat therapies for the affected fingers. All patients provided informed consent. Results Various outcome measures like the VAS pain score, RCS score, Quick-DASH scale score, digital ulcer score, and cold water stimulation test results in the experimental group were significantly improved when compared with the control group patients; no recurrence was observed during the follow-up. Conclusion After adventitial release and sympathectomy in RS patients, improved symptoms, a faster capillary reaction time of the affected fingertips, and significant pain alleviation demonstrated that microscopic adventitial release along with sympathectomy was greatly effective in RS patients.
Computer Science and technology are following the wheels of social development, constantly moving forward, and epoch-making artificial intelligence technology has emerged. As soon as artificial intelligence technology appeared, it quickly became popular in all industries. After applying artificial intelligence technology to the Internet, society’s demand for artificial intelligence has reached a peak.
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