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A 34-year-old man presented with facial asymmetry and was diagnosed with left-sided hemimandibular hyperplasia. Orthognathic surgery and mandibular angle osteotomy combined with inferior alveolar nerve repositioning were performed with computer-aided design. The facial asymmetry was successfully corrected with acceptable cosmetic results. Inferior alveolar nerve repositioning provided sufficient space for the osteotomy of the affected side with the abnormal mandibular canal. Inferior alveolar nerve repositioning with computer-aided design can be used as an effective and reliable technique for hemimandibular hyperplasia.

ABSTRACTNUT carcinoma (NC) is an aggressive squamous tumor characterized by NUTgene rearrangement, and the most common fusion form is BRD4-NUT. However, NC diagnosis is difficult for its rareness and often being confused with a variety of poorly differentiated tumors. A 21-year-old Chinese woman was referred to our hospital for cough and intermittent fever. Chest computed tomography (CT) imaging revealed a left lobe hilar mass. Fiberoptic bronchoscopy results showed that tumor cells were poorly differentiated. In combination with immunohistochemistry staining, she was misdiagnosed with Ewing’s sarcoma/primitive neuroectodermal tumor. Next-generation sequencing (NGS) revealing BRD4-NUTfusion, and NUT immunohistochemistry confirmed the diagnosis of NC. Subsequently, left pneumonectomy and lymph node dissection were performed, and the patient received pemetrexed and lobaplatin treatment. NGS technology played an important role in NC diagnosis in this case, and it may have clinical use for rare cancer diagnosis and guidance of potential targeted therapies.

The dynamic soft sensor based on a single Gaussian process regression (GPR) model has been developed in fermentation processes. However, limitations of single regression models, for multiphase/multimode fermentation processes, may result in large prediction errors and complexity of the soft sensor. Therefore, a dynamic soft sensor based on Gaussian mixture regression (GMR) was proposed to overcome the problems. Two structure parameters, the number of Gaussian components and the order of the model, are crucial to the soft sensor model. To achieve a simple and effective soft sensor, an iterative strategy was proposed to optimize the two structure parameters synchronously. For the aim of comparisons, the proposed dynamic GMR soft sensor and the existing dynamic GPR soft sensor were both investigated to estimate biomass concentration in a Penicillin simulation process and an industrial Erythromycin fermentation process. Results show that the proposed dynamic GMR soft sensor has higher prediction accuracy and is more suitable for dynamic multiphase/multimode fermentation processes.

The present paper aims to clarify the mechanism of infragravity wave (IGW) energy amplification over nearshore shoals reported in recent studies. Wave transformation and energy transfer between short waves (SWs) and IGWs were investigated using SWASH model for nonbreaking random waves propagating over trapezoid shoals with different bottom slopes. It was found that the time lag of IGWs relative to SW groups is the major mechanism for energy transfer from SWs to IGWs and the amplification of IGW energy over all segments of the shoal. The time lag is generated on the front slope and enlarged on the plateau of the shoal, decreases on the rear slope with higher decreasing rates on milder slopes. Over the rear slope, the evolution of IGWs depends on the relative importance of deshoaling and nonlinear energy transfer. It was found that nonlinear energy transfer dominates over the rear slope gentler than 1/60, causing the IGW energy to increase over the first half of the deshoaling process and decrease over the second half whereas deshoaling dominates for steeper rear slope and the IGW energy decay over the whole slope. It is demonstrated numerically and theoretically that the shoals with gentler bottom slopes amplify the IGW energy more effectively by providing longer distance for nonlinear energy transfer to build up. The persistent nonlinear energy transfer on the plateau indicates the important role of wave spatial evolution history in the subsequent IGWs evolution. Strong free IGWs were detected on leeward of the shoal, possibly due to release of topography‐induced additional bound IGWs. Wave spatial evolution history has significant effects on the subsequent evolution of infragravity wavesInfragravity wave energy is significantly amplified in the direction of wave propagation by a near shore shoalShort waves continually transfer energy to infragravity waves when propagating across the shoal even in the deshoaling zone