Research on a Multimodel Fusion Diagnosis Method for Evaporation Ducts in the East China Sea.

Evaporation ducts are abnormal states of the atmosphere in the air-sea boundary layer that directly affect the propagation trajectory of electromagnetic (EM) waves. Therefore, an accurate diagnosis of the evaporation duct height (EDH) is important for studying the propagation trajectory of EM waves in evaporation ducts. Most evaporation duct models (EDMs) based on the Monin-Obukhov similarity theory are empirical methods. Different EDMs have different levels of environmental adaptability. Evaporation duct diagnosis methods based on machine learning methods only consider the mathematical relationship between data and do not explore the physical mechanism of evaporation ducts. To solve the above problems, this study observed the meteorological and hydrological parameters of the five layers of the low-altitude atmosphere in the East China Sea on board the research vessel Xiangyanghong 18 in April 2021 and obtained the atmospheric refractivity profile. An evaporation duct multimodel fusion diagnosis method (MMF) based on a library for support vector machines (LIBSVM) is proposed. First, based on the observed meteorological and hydrological data, the differences between the EDH diagnosis results of different EDMs and MMF were analyzed. When ASTD ≥ 0, the average errors of the diagnostic results of BYC, NPS, NWA, NRL, LKB, and MMF are 2.57 m, 2.92 m, 2.67 m, 3.27 m, 2.57 m, and 0.24 m, respectively. When ASTD < 0, the average errors are 2.95 m, 2.94 m, 2.98 m, 2.99 m, 2.97 m, and 0.41 m, respectively. Then, the EM wave path loss accuracy analysis was performed on the EDH diagnosis results of the NPS model and the MMF. When ASTD ≥ 0, the average path loss errors of the NPS model and MMF are 5.44 dB and 2.74 dB, respectively. When ASTD < 0, the average errors are 5.21 dB and 3.46 dB, respectively. The results show that the MMF is suitable for EDH diagnosis, and the diagnosis accuracy is higher than other models.

Recurrence and risk factors in cured patients with vitiligo: A real-life single-center retrospective study.

BACKGROUND: The risk of recurrence after successful repigmentation in vitiligo has attracted attention from both patients and clinicians. OBJECTIVES: The recurrence rate and risk factors in cured patients with vitiligo were analyzed to improve clinical prevention and treatment. METHODS: Clinical records of 76 patients with vitiligo who demonstrated at least 80% repigmentation were analyzed retrospectively. Single-factor analysis of variance and binary logistic regression analysis was employed to screen the risk factors of vitiligo recurrence. RESULTS: Among the 76 cured patients, 26 relapsed (total recurrence rate of 34.2%). Among these, 20 relapsed within one year (recurrence rate of 26.3%). Single-factor analysis of variance revealed significant differences (p < 0.05) with the age of onset (yr), distribution of onset, and oral traditional Chinese medicine (TCM) intake between the recurrence and nonrecurrence groups. Binary logistic regression analysis displayed that the age of onset (yr) (p = 0.015, OR = 1.051), distribution of onset (p = 0.046, OR = 0.194), and oral TCM (p = 0.018, OR = 4.360) are significant risk factors for vitiligo recurrence. CONCLUSION: A total relapse rate of 34.2% was observed in cured vitiligo patients. The age of onset (yr), distribution of onset, and oral TCM are risk factors for vitiligo recurrence. The necessary interventions should be considered on these factors for reducing the recurrence rate of vitiligo.

Micro-Injury Induces Hair Regeneration and Vitiligo Repigmentation Through Wnt/ß-Catenin Pathway.

Extrinsic injury can evoke intrinsic stimulation and subsequently initiate the physiological repair process. This study aims to investigate whether clinically acceptable micro-injury could be used to create local stimuli to induce hair regeneration and vitiligo repigmentation. A novel device was designed and manufactured to precisely control the micro-injury parameters. Then the most appropriate extent of micro-injury without over-damaging the skin was evaluated. Finally, the effects of micro-injury on hair regeneration and vitiligo repigmentation were examined by macroscopic observation, histological staining, gene and protein expression analysis. We discover that proper micro-injury effectively induces hair regeneration by activating the hair follicle stem cell proliferation and migration downwards to the hair matrix, finally shifting the hair follicle stage from telogen into anagen. On vitiligo model mice, micro-injury also induces the hair follicle melanocyte stem cells to migrate upwards to the interfollicular epidermis, activating and giving rise to melanocytes to repopulate the vitiligo lesion. Mechanistic analysis indicates that the canonical Wnt/ß-catenin pathway plays a key role in the micro-injury-induced repair process. This study demonstrates that micro-injury has great potential in inducing hair regeneration and vitiligo repigmentation, laid a foundation to develop a micro-injury-based treatment method in alopecia and vitiligo.