Comprehensive Evaluation of Anti-icing Performance and Operational Efficiency of Superhydrophobic Propellers.

The icing of propellers is a critical factor that affects the safe operation of aircraft. A superhydrophobic surface, with its extremely low wettability, is highly valuable in the field of anti-icing. This study investigates the distribution pattern of ice on propeller surfaces by employing spray coating to create superhydrophobic surfaces. Additionally, it conducts a comparative analysis of thrust and power under icing and non-icing conditions to comprehensively assess the impact of superhydrophobic surfaces on propeller operation efficiency. The results show that superhydrophobic surfaces not only diminish the ice formation area on propeller surfaces but also enhance the traction of propellers under icing conditions, reducing the power consumption of the propeller. The generated thrust can reach up to 1.6 times that of non-superhydrophobic propellers while consuming only one-third of the power. Furthermore, under non-icing conditions, superhydrophobic surfaces exhibit minimal impact on propeller performance.

Optimization Mold and Algorithm of Risk Control for Power Grid Corporations Based on Collaborative Filtering Technology.

With the ever-changing internal and external environmental factors of enterprises, various uncertainties and risks faced by enterprises are increasing, and the feasibility of financial meltdown is increasing. Research on financial meltdown early warning can help enterprises to prevent the occurrence of peril in advance and take resultful measures to ensure the healthy development of enterprises. If a serious financial meltdown leads to the bankruptcy of enterprises, the financial meltdown is not sudden, but a gradual process. The occurrence of financial meltdown is not only a harbinger, but also predictable. Therefore, it is an urgent question to be solved for listed corporations in China that how to mine the message with early warning function from a large amount of financial data generated in the business process of enterprises. The continuous maturity of data mining technique just solves this question. Based on collaborative filtering technique, this paper analyzes the risk control optimization mold and algorithm of power grid corporations, which is of great signification. After research, this algorithm is 30% better than the traditional algorithm, and it is suitable to be proverbially used.

Clinical manifestations and gene mutation in a case of Machado-Joseph disease.

This study reports a case of a 75-year-old female Machado-Joseph disease patient exhibiting unstable walking and inaccurate hand holding for 8 months, which progressively worsened. Physical examination on admission showed cerebellar ataxia and a history of hypertension. Cranial MRI demonstrated cerebellar and brain stem atrophy. Gene analysis showed abnormal amplification of the CAG trinucleotide repeat in exon 10 of the ataxin-3 (ATXN3) gene, resulting in 70-81 CAG repeats in the patient, with a significant positive family history.