The influence of service performance in China's sci-tech commissioner system: Using social network analysis and interpretable machine learning.

The Sci-Tech Commissioner System (SCS) is a result of exploratory efforts by the Chinese government to use science and technology to strengthen the agricultural sector. Social network analysis (SNA) and machine learning (ML) techniques make it feasible to assess the service performance in China's SCS by using indicators such as group types and structure features. In this study, SNA and a clustering algorithm were employed to categorize service group types of sci-tech commissioners. By comparing the accuracy of different classification algorithms in predicting the clustering results, LightGBM algorithm was finally select to determine the clustering features of sci-tech commissioners and establish an interpretable ML model. Then, the SHAP was used to algorithm to analyze influences affecting service performance. Results show that the service forms of sci-tech commissioners are group-oriented, and that group types include small groups of young commissioners with close cooperation, larger groups of young and middle-aged commissioners, small groups of middle-aged and old commissioners with close cooperation, and isolated points of highly-influential commissioners. Furthermore, while group size is not the determinant of a commissioner's average performance, group structure and coordination ability were found to be more critical. Moreover, while differences in distinct types of service performance are caused by various factors, but good group structures and extensive social contacts are essential for high service performance.

Revealing the Mechanisms of Enhanced ß-Farnesene Production in Yarrowia lipolytica through Metabolomics Analysis.

ß-Farnesene is an advanced molecule with promising applications in agriculture, the cosmetics industry, pharmaceuticals, and bioenergy. To supplement the shortcomings of rational design in the development of high-producing ß-farnesene strains, a Metabolic Pathway Design-Fermentation Test-Metabolomic Analysis-Target Mining experimental cycle was designed. In this study, by over-adding 20 different amino acids/nucleobases to induce fluctuations in the production of ß-farnesene, the changes in intracellular metabolites in the ß-farnesene titer-increased group were analyzed using non-targeted metabolomics. Differential metabolites that were detected in each experimental group were selected, and their metabolic pathways were located. Based on these differential metabolites, targeted strain gene editing and culture medium optimization were performed. The overexpression of the coenzyme A synthesis-related gene pantothenate kinase (PanK) and the addition of four mixed water-soluble vitamins in the culture medium increased the ß-farnesene titer in the shake flask to 1054.8 mg/L, a 48.5% increase from the initial strain. In the subsequent fed-batch fermentation, the ß-farnesene titer further reached 24.6 g/L. This work demonstrates the tremendous application value of metabolomics analysis for the development of industrial recombinant strains and the optimization of fermentation conditions.

Ultrasound-guided percutaneous puncturing technique: novel radiofrequency ablation technique for thoracic sympathectomy in the treatment of palmar hyperhidrosis.

Radiofrequency thoracic sympathectomy is routinely conducted under computed tomographic or fluoroscopic guidance in the treatment of palmar hyperhidrosis. However, it remains a great challenge to perform a thoracic paravertebral puncture precisely and safely, because it is associated with repeated exposure to radiation and the risk of a pneumothorax. Alternatively, an ultrasound-guided technique can provide high-resolution and real-time needle tracking during the percutaneous procedure. We have provided our experience of ultrasonic guidance in radiofrequency sympathectomy for the treatment of primary palmar hyperhidrosis.

Identification of the causal relationship between sleep quality, insomnia, and oral ulcers.

BACKGROUND: Multiple epidemiological studies have posited a potential association between sleep quality and the risk of oral diseases, yet the resulting conclusions have remained contentious, and the presence of a causal link remains equivocal. In this study, we aimed to investigate the causal relationship between sleep duration, insomnia, and common oral diseases. METHODS: We utilized genetic correlation and two-sample Mendelian randomization analyses based on summary statistics from genome-wide association studies of sleep duration (N = 460,099), insomnia (N = 462,341), mouth ulcer (N = 385,026), oral cavity cancer (N = 4,151), and periodontal disease (N = 527,652). RESULTS: Our results revealed a negative genetic correlation between sleep duration and mouth ulcer (genetic correlation: -0.09, P = 0.007), while a positive genetic correlation between insomnia and mouth ulcer was observed (genetic correlation: 0.18, P = 2.51E-06). Furthermore, we demonstrated that longer sleep duration is significantly associated with a reduced risk of mouth ulcers (OR: 0.67, 95% CI: 0.54-0.83, P = 2.84E-04), whereas insomnia is nominally associated with an increased risk of mouth ulcers (OR: 1.40, 95% CI: 1.01-1.95, P = 0.044). In contrast, no significant association was detected between sleep quality and periodontal disease or oral cavity cancer. CONCLUSIONS: This work provides robust evidence to support the notion that enhanced sleep quality may confer a decreased risk of oral ulcers, thereby bearing considerable clinical relevance.

A new dual function dorsal root ganglion stimulation in pain management: a technical note and case report.

Sensitization of dorsal horn ganglion sensory neuron plays a crucial role in the maintenance of chronic pain disorder. Multiple interventions targeting dorsal horn ganglion can provide considerable relief of pain, including selective nerve root block, pulsed radiofrequency, and electrical nerve stimulation technique. It remains controversial about the superiority of neuromodulation mentioned above due to distinct pattern of analgesic mechanism. Here, we reported one 71-year-old male presenting at our pain clinic with severe, unilateral lower limb pain caused by postherpetic neuralgia. An implantable stimulator with dual neuromodulation mode, combining pulsed radiofrequency with electrical nerve stimulation, was then placed into the lateral epidural space adjacent to dorsal root ganglion at L4 level. Standard stimulation programing was performed with technicians to achieve satisfactory control of pain, with numerical rating scale decreasing from 8 to 2 postoperatively. This novel dual function neuromodulation strategy may provide an alternative option for pain management for those with intractable neuropathic pain.

Exploring the Functioning of Online Self-Organizations during Public Health Emergencies: Patterns and Mechanism.

With the increasing use of social media, online self-organized relief has become a crucial aspect of crisis management during public health emergencies, leading to the emergence of online self-organizations. This study employed the BERT model to classify the replies of Weibo users and used K-means clustering to summarize the patterns of self-organized groups and communities. We then combined the findings from pattern discovery and documents from online relief networks to analyze the core components and mechanisms of online self-organizations. Our findings indicate the following: (1) The composition of online self-organized groups follows Pareto's law. (2) Online self-organized communities are mainly composed of sparse and small groups with loose connections, and bot accounts can automatically identify those in need and provide them with helpful information and resources. (3) The core components of the mechanism of online self-organized rescue groups include the initial gathering of groups, the formation of key groups, the generation of collective action, and the establishment of organizational norms. This study suggests that social media can establish an authentication mechanism for online self-organizations, and that authorities should encourage online interactive live streams about public health issues. However, it is important to note that self-organizations are not a panacea for all issues during public health emergencies.