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The ZK–mZK–BBM equation plays a crucial role in actually depicting the gravity water waves with the long wave region. In this article, the bilinear forms of the (2 + 1)-dimensional ZK–mZK–BBM equation were derived using variable transformation. Then, the multiple soliton solutions of the ZK–mZK–BBM equation are obtained by bilinear forms and symbolic computation. Under complex conjugate transformations, quasi-soliton solutions and mixed solutions composed of one-soliton and one-quasi-soliton are derived from soliton solutions. These solutions are further studied graphically to observe the propagation characteristics of gravity water waves. The results enrich the research of gravity water wave in fluid mechanics.

为减缓葵花籽油进口对我国油葵产业的冲击，保障我国葵花籽油供给稳定，更好地满足我国居民对特色油脂不断增长的消费需求，在分析我国葵花籽油进口贸易特征的基础上，探究背后的成因并提出应对策略。结果表明：近年来，我国葵花籽油进口呈增长快、依存度高、来源地集中等特征；其原因主要有进口价格优势，国内产量增长慢，全球葵花籽生产分布相对集中。据此建议，扩大我国油葵种植面积，实现规模化种植，保障产量稳定增长；提高我国油葵生产效率，实现降本增效，提升国际竞争力；大力发展我国油葵压榨及相关产业，同时用好国外资源，有效满足我国葵花籽油的需求。 In order to mitigate the impact of sunflower seed oil import on China′s oil sunflower industry, ensure the stability of domestic sunflower seed oil supply, and better meet the growing consumption demand of Chinese residents for special oils, based on the analysis of the characteristics of domestic sunflower seed oil import trade, the underlying causes were explored and countermeasures were put forward. The results showed that in recent years, the import of sunflower seed oil in China was characterized by rapid growth, high dependence and concentrated source, and which were mainly caused by the import price advantage, the slow growth of domestic production and the relative concentration of global sunflower seed production distribution. Therefore, it was suggested to expand the planting area of oil sunflower in China, realize large-scale planting, ensure stable growth of output, improve domestic oil sunflower production efficiency, reduce cost and increase efficiency, enhance international competitiveness, vigorously develop domestic oil sunflower pressing and related industries, and make good use of foreign resources to effectively meet the needs of domestic sunflower seed oil.

Background: Essential tremor (ET) is the most common neurological movement disorder with few treatments and limited therapeutic efficacy, research into noninvasive and effective treatments is critical. Abnormal cerebello-thalamo-cortical (CTC) loop function are thought to be significant pathogenic causes of ET, with the cerebellum and cortex are common targets for ET treatment. In recent years, transcranial magnetic stimulation (TMS) has been recognized as a promising brain research technique owing to its noninvasive nature and safety. In this study, we will use left M1 cortex continuous theta-burst stimulation (cTBS) combined with right cerebellar hemisphere 1 Hz repetitive transcranial magnetic stimulation (rTMS) dual-target stimulation to explore the Safety, feasibility and efficiency of this dual-target stimulation mode, and the mechanism of its therapeutic effect. Methods: Twenty-four patients with ET will be randomly assigned to three groups: dual-target stimulation, single-target stimulation, or sham stimulation. The single-target stimulation group will receive stimulation of the right cerebellar hemisphere for 10 days, whereas the dual-target stimulation group will be given stimulation of both the left M1 cortex and the right cerebellar hemisphere. The sham stimulation group will be given sham stimulation for 10 days. Tremor will be assessed using both the subjective The Essential Tremor Rating Assessment Scale (TETRAS) and objective accelerometer-based tremor analysis. at baseline (before stimulation), after the first, fifth, tenth days of treatment (D1, 5, 10), 24 h after 10 days of treatment (D10-24 h), and 1, 2, 3, and 4 weeks after stimulation (W1, 2, 3, 4). Discussion: This is a Phase 2 randomized, controlled, patient-assessor blinded clinical trial. The goal of this study is to investigate the Safety, feasibility and efficiency of TMS for the treatment of ET. [ABSTRACT FROM AUTHOR]

Using the bilinear neural network method (BNNM) and the symbolic computation system Mathematica, this paper explains how to find an exact solution for the (2+1)-dimensional Korteweg–de Vries–Sawada–Kotera–Ramani (KdVSKR) equation. In terms of activation function and weight coefficient, BNNM is a more appealing option for users than traditional symbolic computation methods. It is possible to develop a wide range of solutions and expand the classes of exact solutions by modifying the activation function. The activation function's versatility allows it to generate a wide range of solutions with several theoretical and practical uses. The analytical solution is obtained by using a double layer type, while the rogue wave solution and mixed solutions are obtained by using a single layer type. The evolution of these waves is then illustrated using various 3D graphs, 2D graphs, and density plots. [ABSTRACT FROM AUTHOR]