Objective:To study the effects of poly-DL-lactic acid(PDLLA) biomembrane in the repair of cleft hard palate. Methods:Thirty-two cleft palate patients, age 2.67 to 12.83 years old, were treated. The traditional surgical method was used to close the cleft soft palate, and the PDLLA biomembrane was implanted into the surgical gap between the periosteum and bone at the hard palate and fixed with suture to close the cleft hard palate. Clinical follow-up was conducted for 6 months.Results:Operations on all 32 patients were completed successfully.The average surgical time was not prolonged, and post-operative complication was not increased. Wound healing of soft palate, uvula and hard palate was uneventful with no incidence of fistula or dehiscence. Conclusion: PDLLA absorbable biomembrane can be used to repair cleft hard palate.

As an important protein acylation modification, lysine succinylation (Ksucc) is involved in diverse biological processes, and participates in human tumorigenesis. Here, we collected 26,243 non-redundant known Ksucc sites from 13 species as the benchmark data set, combined 10 types of informative features, and implemented a hybrid-learning architecture by integrating deep-learning and conventional machine-learning algorithms into a single framework. We constructed a new tool named HybridSucc, which achieved area under curve (AUC) values of 0.885 and 0.952 for general and human-specific prediction of Ksucc sites, respectively. In comparison, the accuracy of Hybrid-Succ was 17.84％–50.62％better than that of other existing tools. Using HybridSucc, we conducted a proteome-wide prediction and prioritized 370 cancer mutations that change Ksucc states of 218 important proteins, including PKM2, SHMT2, and IDH2. We not only developed a high-profile tool for predicting Ksucc sites, but also generated useful candidates for further experimental con-sideration. The online service of HybridSucc can be freely accessed for academic research at http://hybridsucc.biocuckoo.org/.