Periodontitis is a common chronic inflammatory disease associated with biofilm formation, gingival recession, and supporting bone loss that can lead to the formation of periodontal pockets and, ultimately, tooth loss....
Nonlinear light–matter interaction, as the core of ultrafast optics, bulk photovoltaics, nonlinear optical sensing and imaging, and efficient generation of entangled photons, has been traditionally studied by first-principles theoretical methods with the sum-over-states approach. However, this indirect method often suffers from the divergence at band degeneracy and optical zeros as well as convergence issues and high computation costs when summing over the states. Here, using shift vector and shift current conductivity tensor as an example, we present a gauge-invariant generalized approach for efficient and direct calculations of nonlinear optical responses by representing interband Berry curvature, quantum metric, and shift vector in a generalized Wilson loop. This generalized Wilson loop method avoids the above cumbersome challenges and allows for easy implementation and efficient calculations. More importantly, the Wilson loop representation provides a succinct geometric interpretation of nonlinear optical processes and responses based on quantum geometric tensors and quantum geometric potentials and can be readily applied to studying other excited-state responses.
Forecasting models are a central part of many control systems, where high-consequence decisions must be made on long latency control variables. These models are particularly relevant for emerging artificial intelligence (AI)-guided instrumentation, in which prescriptive knowledge is needed to guide autonomous decision-making. Here we describe the implementation of a long short-term memory model (LSTM) for forecasting in situ electron energy loss spectroscopy (EELS) data, one of the richest analytical probes of materials and chemical systems. We describe key considerations for data collection, preprocessing, training, validation, and benchmarking, showing how this approach can yield powerful predictive insight into order-disorder phase transitions. Finally, we comment on how such a model may integrate with emerging AI-guided instrumentation for powerful high-speed experimentation.
Oral mucositis refers to secondary mucosal damage, which usually occurs during cancer treatment. Generally, patients with head and neck cancers receiving radiotherapy will develop mucositis. Oral mucositis usually begins with mucosal inflammation and is characterized by erythema and confluent ulcers. The purpose of the study is to explore the therapeutic effects of Yunnan Baiyao combined with Kangfuxin solution on radiation-induced oral mucositis and the influence on production of inflammatory factors in patients with nasopharyngeal carcinoma (NPC) after radiotherapy. Clinical variables of 90 NPC patients were retrospectively analyzed. All patients underwent combined treatment (normal saline and inhalation of dexamethasone, gentamicin, and vitamin B12) 1st after radiotherapy, among which 45 patients received additional treatment of Yunnan Baiyao plus Kangfuxin solution and assigned as the study group. We found that additional treatment of Yunnan Baiyao plus Kangfuxin solution remarkably attenuated pain and dry mouth and reduced the degree of mucosal hyperaemia, edema, and ulceration in NPC patients undergoing radiotherapy ( P < 0.05 ). It was also found that additional treatment of Yunnan Baiyao plus Kangfuxin solution notably inhibited the release of inflammatory factors and cancer-related markers, as evidenced by lower serum levels of C-reactive protein (CRP), tumor necrosis factor-α (TNF-α), interleukin-1 (IL-1), matrix metalloproteinase-9 (MMP-9), serum hypoxia-inducible factor-1 α (HIF-1α), and vascular endothelial growth factor (VEGF) detected in the study group than the control group ( P < 0.05 ). Additionally, the numbers of CD+3 and CD+4 subpopulations of T lymphocytes and the ratio of CD+4/CD+8 in the study group were significantly higher than those in the control group ( P < 0.05 ), and the number of CD+8 subpopulations in the study group was significantly lower than those in the control group ( P < 0.05 ). In conclusion, these results indicated that additional treatment of Yunnan Baiyao plus Kangfuxin solution reduces inflammatory response and prevents patients with NPC against radiation-induced oral mucositis.
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