SCALE method for single-cell ATAC-seq analysis via latent feature extraction.

Single-cell ATAC-seq (scATAC-seq) profiles the chromatin accessibility landscape at single cell level, thus revealing cell-to-cell variability in gene regulation. However, the high dimensionality and sparsity of scATAC-seq data often complicate the analysis. Here, we introduce a method for analyzing scATAC-seq data, called Single-Cell ATAC-seq analysis via Latent feature Extraction (SCALE). SCALE combines a deep generative framework and a probabilistic Gaussian Mixture Model to learn latent features that accurately characterize scATAC-seq data. We validate SCALE on datasets generated on different platforms with different protocols, and having different overall data qualities. SCALE substantially outperforms the other tools in all aspects of scATAC-seq data analysis, including visualization, clustering, and denoising and imputation. Importantly, SCALE also generates interpretable features that directly link to cell populations, and can potentially reveal batch effects in scATAC-seq experiments

MageAdd: Real-Time Interaction Simulation for Scene Synthesis

While recent researches on computational 3D scene synthesis have achieved impressive results, automatically synthesized scenes do not guarantee satisfaction of end users. On the other hand, manual scene modelling can always ensure high quality, but requires a cumbersome trial-and-error process. In this paper, we bridge the above gap by presenting a data-driven 3D scene synthesis framework that can intelligently infer objects to the scene by incorporating and simulating user preferences with minimum input. While the cursor is moved and clicked in the scene, our framework automatically selects and transforms suitable objects into scenes in real time. This is based on priors learnt from the dataset for placing different types of objects, and updated according to the current scene context. Through extensive experiments we demonstrate that our framework outperforms the state-of-the-art on result aesthetics, and enables effective and efficient user interactions

Fast 3D Indoor Scene Synthesis by Learning Spatial Relation Priors of Objects

We present a framework for fast synthesizing indoor scenes, given a room geometry and a list of objects with learnt priors.Unlike existing data-driven solutions, which often learn priors by co-occurrence analysis and statistical model fitting, our methodmeasures the strengths of spatial relations by tests for complete spatial randomness (CSR), and learns discrete priors based onsamples with the ability to accurately represent exact layout patterns. With the learnt priors, our method achieves both acceleration andplausibility by partitioning the input objects into disjoint groups, followed by layout optimization using position-based dynamics (PBD)based on the Hausdorff metric. Experiments show that our framework is capable of measuring more reasonable relations amongobjects and simultaneously generating varied arrangements in seconds compared with the state-of-the-art works.</p

Tetra­aqua­bis(2-oxo-1,2-dihydro­quinoline-4-carboxyl­ato-κO 4)nickel(II)

In the title compound, [Ni(C10H6NO3)2(H2O)4], the central NiII atom is located on an inversion center and coordinated in a slightly distorted octa­hedral geometry by two O atoms from two 2-oxo-1,2-dihydro­quinoline-4-carboxyl­ate ligands and four water mol­ecules, all of which act as monodentate ligands. The crystal structure features an extensive network of inter­molecular hydrogen-bonding inter­actions (O—H⋯O and N—H⋯O) and offset face-to-face π–π stacking inter­actions [centroid–centroid distances = 3.525 (3) and 3.281 (5) Å]

Effects of Yifukang Oral Liquid on Chemotherapy- and Radiotherapy-Induced Toxic and Side Effects of Myelosuppression, Leucopenia and Gastrointestinal Tract Disturbances

Purpose: To investigate the effects of Yifukang oral liquid (YFKOL) on chemotherapy- and radiotherapy-induced myelosuppression, leucopenia and gastrointestinal tract disturbances.Methods: The effects of YFKOL on myelosuppression, leucopenia and gastrointestinal tract disturbances were assessed by cyclophosphamide- and Co60-induced leucopenia in mice, copper sulfate-induced emesis in pigeons, ethanol-induced gastric mucosal lesions in rats, gastric emptying and intestinal propulsion in mice.Results: In cyclophosphamide- and Co60-induced leucopenia assays, the mean white blood cell count (82.6 and 90.1 × 109/L; 7.3 and 8.2 × 109/L, respectively) and thighbone marrow granulocytes (66.1 % and 67.4 %; 60.8 and 66.5 %, respectively) were significantly (p &lt; 0.05) increased after treatment with YFKOL (15 and 30 mL/kg), compared with the respective control (68.2 and 4.7 × 109/L; 58.2 and 53.1 %). In emesis, gastric mucosal lesions, gastric emptying and intestinal propulsion assays, the mean frequency of emesis (30.8 and 22.3 times, respectively) and ulcer index (39.6 and 26.5, respectively) significantly (p &lt; 0.05) decreased, and the mean gastric emptying (25.0 and 24.0 %) and intestinal propulsion (81.9 and 82.8 %) were significantly (p &lt; 0.05) promoted after treatment with YFKOL (10 and 20 mL/kg), compared with the respective control (54.7 times, 62.8, 42.0 and 68.9 %).Conclusion: YFKOL may suppress chemotherapy- and radiotherapy-induced myelosuppression, leucopenia and gastrointestinal tract disturbances.Keywords: Yifukang oral liquid, Gastrointestinal tract disturbances, Leucopenia, Myelosuppression, Tumor, Chemotherapy, Radiotherap