MsSVT++: Mixed-Scale Sparse Voxel Transformer With Center Voting for 3D Object Detection.

Accurate 3D object detection in large-scale outdoor scenes, characterized by considerable variations in object scales, necessitates features rich in both long-range and fine-grained information. While recent detectors have utilized window-based transformers to model long-range dependencies, they tend to overlook fine-grained details. To bridge this gap, we propose MsSVT++, an innovative Mixed-scale Sparse Voxel Transformer that simultaneously captures both types of information through a divide-and-conquer approach. This approach involves explicitly dividing attention heads into multiple groups, each responsible for attending to information within a specific range. The outputs of these groups are subsequently merged to obtain final mixed-scale features. To mitigate the computational complexity associated with applying a window-based transformer in 3D voxel space, we introduce a novel Chessboard Sampling strategy and implement voxel sampling and gathering operations sparsely using a hash map. Moreover, an important challenge stems from the observation that non-empty voxels are primarily located on the surface of objects, which impedes the accurate estimation of bounding boxes. To overcome this challenge, we introduce a Center Voting module that integrates newly voted voxels enriched with mixed-scale contextual information towards the centers of the objects, thereby improving precise object localization. Extensive experiments demonstrate that our single-stage detector, built upon the foundation of MsSVT++, consistently delivers exceptional performance across diverse datasets.

Rapid Assessment of Exercise State through Athlete's Urine Using Temperature-Dependent NIRS Technology.

Athletes usually take nutritional supplements and perform the specialized training to improve the performance of sport. A quick assessment of their athletic status will help to understand the current physical function of athletes' status and the effect of nutritional supplementation. Human urine, as one of the most important body indicators, is composed of many metabolites, which can provide effective monitoring information for physical conditions. In this study, temperature-dependent near-infrared spectroscopy (NIRS) technology was used to collect the spectra of athlete's urine for evaluating the feasibility of rapidly detecting the exercise state of the basketball player. To obtain the detection results accurately, several chemometrics methods including principal component analysis (PCA), variables selection method of variable importance in projection (VIP), continuous 1D wavelet transform (CWT), and partial least square-discriminant analysis (PLS-DA) were employed to develop a classifier to distinguish the physical status of athletes. The optimal classifying results were obtained by wavelet-PLS-DA classifier, whose average precision, sensitivity, and specificity are all above 0.95, and the overall accuracy of all samples is 0.97. These results demonstrate that temperature-dependent NIRS can be used to rapidly assess the physical function of athlete's status and the effect of nutritional supplementation is feasible. It can be believed that temperature-dependent NIR spectroscopy will obtain applications more widely in the future.

Joint toxicity of fluoroquinolone and tetracycline antibiotics to zebrafish (Danio rerio) based on biochemical biomarkers and histopathological observation.

Herein, we report on the joint toxicity of four fluoroquinolones and two tetracyclines (ß-diketone antibiotics-DKAs) to zebrafish based on a series of toxicological endpoints and histopathological observations. A positive dose-dependence was observed in DKA-exposure groups with a 72-hpf EC50 of 130.3 mg/L for hatching rate, 120-hpf LC50 of 149.8 mg/L, and 120-hpf EC50 of 135.1 mg/L for malformation rate. When zebrafish at 60 dpf were exposed to a series of DKA concentrations (45, 60 and 90 mg/L) for 7, 14 and 21 days, creatine kinase and AChE activities were significantly induced, and intracellular malondialdehyde increased in all treatments except for the 45 mg/L treatment. The transcription levels of AHRRa from livers were significantly (p < 0.05) up-regulated in all treatments after two months of DKA exposure. CKma expression from skeletal muscle was significantly down-regulated in the 90 mg/L treatment. A remarkable down-regulation of CYP3A65 was observed in the 60 mg/L treatment. DKA exposure resulted in severe tissue damage including mitochondria swelling, reduction of mitochondrial cristae, deepening of mitochondrial cristae bands, and decreasing and even disappearance of the rough endoplasmic reticulum. Total sperm motility was decreased by ca. 30% due to DKA exposure. These results provide important information for toxicity and health risks due to mixed DKA exposure in aquatic environments.