Deubiquitinase USP47 ameliorates cardiac hypertrophy through reducing protein O-GlcNAcylation.

Cardiac hypertrophy is a crucial risk factor for heart failure when the heart is confronted with physiological or pathological stimuli. The ubiquitin-proteasome system (UPS) plays a critical role in the pathogenesis of cardiac hypertrophy. However, as a key component of the UPS, the role of deubiquitinating enzymes (DUBs) in cardiac hypertrophy is not well understood.

TSFF: a two-stage fusion framework for 3D object detection.

Point clouds are highly regarded in the field of 3D object detection for their superior geometric properties and versatility. However, object occlusion and defects in scanning equipment frequently result in sparse and missing data within point clouds, adversely affecting the final prediction. Recognizing the synergistic potential between the rich semantic information present in images and the geometric data in point clouds for scene representation, we introduce a two-stage fusion framework (TSFF) for 3D object detection.

AutoFibroNet: A deep learning and multi-photon microscopy-derived automated network for liver fibrosis quantification in MAFLD.

Background: Liver fibrosis is the strongest histological risk factor for liver-related complications and mortality in metabolic dysfunction-associated fatty liver disease (MAFLD). Second harmonic generation/two-photon excitation fluorescence (SHG/TPEF) is a powerful tool for label-free two-dimensional and three-dimensional tissue visualisation that shows promise in liver fibrosis assessment.

Aim: To investigate combining multi-photon microscopy (MPM) and deep learning techniques to develop and validate a new automated quantitative histological classification tool, named AutoFibroNet (Automated Liver Fibrosis Grading Network), for accurately staging liver fibrosis in MAFLD.

The dysregulation of plasma miR-497/FGF23 axis, and its association with clinical characteristics and major adverse cardiovascular event in female premature acute coronary syndrome patients.

Aim: MicroRNA-497 (miR-497) directly targets fibroblast growth factor 23 (FGF23) to participate in the pathology of acute coronary syndrome (ACS) by regulating atherosclerosis, inflammatory response, lipid metabolism, etc. This study intended to investigate the dysregulation of the miR-497/FGF23 axis, and its association with the major adverse cardiovascular event (MACE) in female premature ACS.

Methods: MiR-497 and FGF23 from plasma samples were detected by RT-qPCR and ELISA in 979 newly diagnosed female premature ACS patients and 100 healthy controls (HCs).

FECC-Net: A Novel Feature Enhancement and Context Capture Network Based on Brain MRI Images for Lesion Segmentation.

In recent years, the increasing incidence of morbidity of brain stroke has made fast and accurate segmentation of lesion areas from brain MRI images important. With the development of deep learning, segmentation methods based on the computer have become a solution to assist clinicians in early diagnosis and treatment planning. Nevertheless, the variety of lesion sizes in brain MRI images and the roughness of the boundary of the lesion pose challenges to the accuracy of the segmentation algorithm.

Point Cloud Semantic Segmentation Network Based on Multi-Scale Feature Fusion.

The semantic segmentation of small objects in point clouds is currently one of the most demanding tasks in photogrammetry and remote sensing applications. Multi-resolution feature extraction and fusion can significantly enhance the ability of object classification and segmentation, so it is widely used in the image field. For this motivation, we propose a point cloud semantic segmentation network based on multi-scale feature fusion (MSSCN) to aggregate the feature of a point cloud with different densities and improve the performance of semantic segmentation.

Spatial Aggregation Net: Point Cloud Semantic Segmentation Based on Multi-Directional Convolution.

Semantic segmentation of 3D point clouds plays a vital role in autonomous driving, 3D maps, and smart cities, etc. Recent work such as PointSIFT shows that spatial structure information can improve the performance of semantic segmentation. Motivated by this phenomenon, we propose Spatial Aggregation Net (SAN) for point cloud semantic segmentation.

[Repair of scalp defect using V-Y-S rotation flap].

Objective: To report the clinical results of scalp defect using V-Y-S rotation flap.

Methods: From March 2003 to October 2005, 5 cases scalp defect (4 male, 1 female) were reconstructed with the technique. The age ranged from 26 to 52 years (mean 32 years).

[High tibial osteotomy for the treatment of osteoarthritis of the knee].

Objective: To summarize clinical application of the high tibial osteatomy (HTO) with lateral closing-wedge for the treatment of pain of unicompartmental osteoarthritis of the knee.

Methods: From February 2000 to February 2004,9 patients (3 males and 6 females, ranging in age from 52 to 58 years, with an average of 56 years) with unicompartmental osteoarthritis of the knee treated by HTO with lateral closing-wedge. The proximal tibiofibular joint was exposed, the anterior part of the capsule was incised, and to remove a laterally based wedge with saw cuts and osteotomes.

Total synthesis of the cyclodepsipeptide apratoxin A and its analogues and assessment of their biological activities.

A novel total synthesis of apratoxin A is described, with key steps including the assembly of its ketide segment through a D-proline-catalyzed direct aldol reaction and Oppolzer's anti aldol reaction and the preparation of its thiazoline unit in a biomimetic synthesis. An oxazoline analogue of apratoxin A has also been elaborated by a similar approach. This compound has a potency against HeLa cell proliferation only slightly lower than that of apratoxin A, whilst a C(40)-demethylated oxazoline analogue of apratoxin A displays a much lower cytotoxicity and the C(37)-epimer and C(37) demethylation product of this new analogue are inactive.

A formal [3+2] cycloaddition process with nonactivated aziridines to polysubstituted indolizidines.

[chemical reaction: see text]. Heating a mixture of ethyl 7-iodo-2-heptynoate (or its analogues), 2-aryl aziridines, and K2CO3 in dry CH(3)CN delivers polysubstituted indolizidines. This reaction goes through an S(N)2/formal [3+2] cycloaddition process and represents the first synthetically useful example of the formal [3+2] cycloaddition process through a C-N bond cleavage of nonactivated aziridines.

CuI/L-proline-catalyzed coupling reactions of aryl halides with activated methylene compounds.

[reaction: see text] The arylation of ethyl acetoacetate, ethyl benzoyl acetate, and diethyl malonate under the catalysis of CuI/L-proline in DMSO proceeds smoothly at 40-50 degrees C in the presence of Cs2CO3 to provide the 2-aryl-1,3-dicarbonyl compounds in good yields. Both aryl iodides and aryl bromides are compatible with these reaction conditions.

Synthesis of an oxazoline analogue of apratoxin A.

[structure: see text] Michael addition of Me(2)Cu(CN)Li(2) to alpha,beta-unsaturated lactone 7 derived from beta-hydroxyl ketone 5 provides lactone 8, which is converted to alcohol 11 using Oppolzer's methodology as the key step. Connection of 11 with the l-proline moiety and subsequent installation of an oxazoline ring affords 16, which is coupled with tripeptide 21; subsequent macrocyclization then furnishes 4, an oxazoline analogue of apratoxin A.