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Targeted observation is an appealing procedure for improving model predictions. However, studies on oceanic targeted observations have been largely based on modeling efforts, and there is a need for field validating operations. Here, we report the results of a field targeted observation that is designed based on the sensitive areas identified by the Conditional Nonlinear Optimal Perturbation approach to improve the 7th day thermal structure prediction in the Yellow Sea. By introducing the technique of cycle data assimilation and the new concept of time-varying sensitive areas, an observing strategy is designed and validated by a set of Observing System Simulation Experiments. Then, the impact of targeted observations was investigated by a choreographed field campaign in the summer of 2019. The results of the in-field Observing System Experiments show that, compared to conventional local data assimilation, conducting targeted observations in the sensitive areas can yield more benefit at the verification time. Furthermore, dynamic analysis demonstrates that the refinement of vertical thermal structures is mainly caused by the changes in the upstream horizontal temperature advection driven by the Yellow Sea Cold Water Mass circulation. This study highlights the effectiveness of targeted observations on reducing the forecast uncertainty in the ocean.

Recently, NEK1 (NIMA-related kinase 1) mutations were identified as a cause of amyotrophic lateral sclerosis (ALS), but the relationship between them remains unclear owing to the small sample size and low mutation rate. We made a meta-analysis to make clear the relationship. Eight case-control studies involving 8603 cases and 18,695 controls were enrolled. Results demonstrated that the frequency of NEK1 mutations was 3.1% (95% CI 2.5–3.8%) in ALS patients, including the frequencies of loss of function (LoF) and missense mutations, which were 0.9% (95% CI 0.6–1.1%) and 2.3% (95% CI 1.7–2.8%) in ALS patients, respectively. NEK1 mutations (OR 2.14; 95% CI 1.81–2.52; p

Background: The new emerging application of decompression combined with fusion comes with a concern of cost performance, however, it is a lack of big data support. We aimed to evaluate the necessity or not of the addition of fusion for decompression in patients with lumbar degenerative spondylolisthesis. Methods: Potential studies were selected from PubMed, Web of Science, and Cochrane Library, and gray relevant studies were manually searched. We set the searching time spanning from the creating date of electronic engines to August 2020. STATA version 11.0 was exerted to process the pooled data. Results: Six RCTs were included in this study. A total of 650 patients were divided into 275 in the decompression group and 375 in the fusion group. No statistic differences were found in the visual analog scales (VAS) score for low back pain (weighted mean difference [WMD], –0.045; 95% confidence interval [CI], –1.259–1.169; P = .942) and leg pain (WMD, 0.075; 95% CI, –1.201–1.35; P = .908), Oswestry Disability Index (ODI) score (WMD, 1.489; 95% CI, –7.232–10.211; P = .738), European Quality of Life-5 Dimensions (EQ-5D) score (WMD, 0.03; 95% CI, –0.05–0.12; P = .43), Odom classification (OR, 0.353; 95% CI 0.113–1.099; P = .072), postoperative complications (OR, 0.437; 95% CI, 0.065–2.949; P = .395), secondary operation (OR, 2.541; 95% CI 0.897–7.198; P = .079), and postoperative degenerative spondylolisthesis (OR = 8.59, P = .27). Subgroup analysis of VAS score on low back pain (OR = 0.77, 95% CI, 0.36–1.65; P = .50) was demonstrated as no significant difference as well. Conclusion: The overall efficacy of the decompression combined with fusion is not revealed to be superior to decompression alone. At the same time, more evidence-based performance is needed to supplement this opinion.