FlowZero: Zero-Shot Text-to-Video Synthesis with LLM-Driven Dynamic Scene Syntax

Text-to-video (T2V) generation is a rapidly growing research area that aims to translate the scenes, objects, and actions within complex video text into a sequence of coherent visual frames. We present FlowZero, a novel framework that combines Large Language Models (LLMs) with image diffusion models to generate temporally-coherent videos. FlowZero uses LLMs to understand complex spatio-temporal dynamics from text, where LLMs can generate a comprehensive dynamic scene syntax (DSS) containing scene descriptions, object layouts, and background motion patterns. These elements in DSS are then used to guide the image diffusion model for video generation with smooth object motions and frame-to-frame coherence. Moreover, FlowZero incorporates an iterative self-refinement process, enhancing the alignment between the spatio-temporal layouts and the textual prompts for the videos. To enhance global coherence, we propose enriching the initial noise of each frame with motion dynamics to control the background movement and camera motion adaptively. By using spatio-temporal syntaxes to guide the diffusion process, FlowZero achieves improvement in zero-shot video synthesis, generating coherent videos with vivid motion.Comment: Project page: https://flowzero-video.github.i

EFFECTS OF CIJI HUA’AI BAOSHENG GRANULE FORMULA (CHBGF) ON LIFE TIME, PATHOLOGY, PERIPHERAL BLOOD CELLS OF TUMOR CHEMOTHERAPY MODEL MOUSE WITH H22 HEPATOMA CARCINOMA CELLS

Background: Ciji Hua’ai Baosheng Granule Formula (CHBGF) is a traditional Chinese empirical formula that can help the tumor patients who have received chemotherapy antagonize the toxin and side-effects so as to improve and prolong the life. This study is to evaluate the effects of CHBGF on improving life quality in terms of survival time, pathology of tumor tissue and ameliorating peripheral blood cells in mouse chemotherapy model with subcutaneous transplanted tumor or ascitic tumor of H22 hepatoma carcinoma cells at an overall level. Materials and Methods: 71 mice among the 92 Kunming mice were injected subcutaneously into the right anterior armpit with H22 hepatoma carcinoma cells, after 7 days, which had formed tumors and were used peritoneal injection of Cytoxan (CTX) (200mg/kg) to establish the mouse chemotherapy model with transplanted tumor, and then which were commensurately divided into 8 groups by random digits table. 21 mice were injected into peritoneal cavity to use CTX and the same method to establish the model. The groups for evaluating the effects on the survival time were the model, CHBGF and positive control group respectively with 7 mice in each group. The groups for evaluating the effects on anti-cancer were the model group, three treatment groups and positive control group with 10 mice in each group. The survival-time-observing groups were given intragastric administration of normal saline, CHBGF (64g/kg) once a day, and peritoneal injection of 5-Fluorouracil (25mg/kg) once every other day respectively. The survival time of each group was observed. The five anti-cancer-observing groups were given intragastric administration of normal saline, CHBGF (64g/kg, 32g/kg and 16g/kg) once a day, and peritoneal injection of 5-Fluorouracil (25mg/kg) once every other day respectively. After treatment for 21 days, the transplanted tumors were peeled off. Blood was collected through pricking eyeball and analyzed by hematology analyzer. And postchemotherapy transplanted tumor inhibition ratios were calculated. Pathological changes of tumor tissues and blood smears were observed with light microscope. Results: The life prolonging rate of CHBGF (64g/kg) group with transplanted tumor is 20.14%, and their survival time was longer than that of the 5-Fluorouracil group (

Patient-derived iPSCs link elevated mitochondrial respiratory complex I function to osteosarcoma in Rothmund-Thomson syndrome

Rothmund-Thomson syndrome (RTS) is an autosomal recessive genetic disorder characterized by poikiloderma, small stature, skeletal anomalies, sparse brows/lashes, cataracts, and predisposition to cancer. Type 2 RTS patients with biallelic RECQL4 pathogenic variants have multiple skeletal anomalies and a significantly increased incidence of osteosarcoma. Here, we generated RTS patient-derived induced pluripotent stem cells (iPSCs) to dissect the pathological signaling leading to RTS patient-associated osteosarcoma. RTS iPSC-derived osteoblasts showed defective osteogenic differentiation and gain of in vitro tumorigenic ability. Transcriptome analysis of RTS osteoblasts validated decreased bone morphogenesis while revealing aberrantly upregulated mitochondrial respiratory complex I gene expression. RTS osteoblast metabolic assays demonstrated elevated mitochondrial respiratory complex I function, increased oxidative phosphorylation (OXPHOS), and increased ATP production. Inhibition of mitochondrial respiratory complex I activity by IACS-010759 selectively suppressed cellular respiration and cell proliferation of RTS osteoblasts. Furthermore, systems analysis of IACS-010759-induced changes in RTS osteoblasts revealed that chemical inhibition of mitochondrial respiratory complex I impaired cell proliferation, induced senescence, and decreased MAPK signaling and cell cycle associated genes, but increased H19 and ribosomal protein genes. In summary, our study suggests that mitochondrial respiratory complex I is a potential therapeutic target for RTS-associated osteosarcoma and provides future insights for clinical treatment strategies

Time-domain analysis of distributed networks

A method is presented for numerical inversion of the Laplace transform. The method is an extension of Pade-approximation-based techniques. However, it provides more accurate results at an incremental computational cost. The new method is suitable for transient analysis of general linear networks with lumped, distributed, or mixed parameters. An application to transient analysis of distributed networks is demonstrated using an example of an interconnect circuit

PoseGU: 3D Human Pose Estimation with Novel Human Pose Generator and Unbiased Learning

3D pose estimation has recently gained substantial interests in computer vision domain. Existing 3D pose estimation methods have a strong reliance on large size well-annotated 3D pose datasets, and they suffer poor model generalization on unseen poses due to limited diversity of 3D poses in training sets. In this work, we propose PoseGU, a novel human pose generator that generates diverse poses with access only to a small size of seed samples, while equipping the Counterfactual Risk Minimization to pursue an unbiased evaluation objective. Extensive experiments demonstrate PoseGU outforms almost all the state-of-the-art 3D human pose methods under consideration over three popular benchmark datasets. Empirical analysis also proves PoseGU generates 3D poses with improved data diversity and better generalization ability

Zero‐waste emission design of sustainable and programmable actuators

Abstract Moisture‐responsive actuators are widely used as energy‐harvesting devices due to their excellent ability to spontaneously and continuously convert external energy into kinetic energy. However, it remains a challenge to sustainably synthesize moisture‐driven actuators. Here, we present a sustainable zero‐waste emission methodology to prepare soft actuators using carbon nano‐powders and biodegradable polymers through a water evaporation method. Due to the water solubility and recyclability of the matrixes employed here, the entire synthetic process achieves zero‐waste emission. Our composite films featured strong figures of merit and capabilities with a 250° maximum bending angle under 90% relative humidity. Programmable motions and intelligent bionic applications, including walkers, smart switches, robotic arms, flexible excavators, and hand‐shaped actuators, were further achieved by modulating the geometry of the actuators. This sustainable method for actuators’ fabrication has great potential in large‐scale productions and applications due to its advantages of zero‐waste emission manufacturing, excellent recyclability, inherent adaptive integration, and low cost