Recent developments in spatially resolved transcriptomics (SRT) enable the characterization of spatial structures for different tissues. Many decomposition methods have been proposed to depict the cellular distribution within tissues. However, existing computational methods struggle to balance spatial continuity in cell distribution with the preservation of cell-specific characteristics. To address this, we propose Spall, a novel decomposition network that integrates scRNA-seq data with SRT data to accurately infer cell type proportions. Spall introduced the GATv2 module, featuring a flexible dynamic attention mechanism to capture relationships between spots. This improves the identification of cellular distribution patterns in spatial analysis. Additionally, Spall incorporates skip connections to address the loss of cell-specific information, thereby enhancing the prediction capability for rare cell types. Experimental results show that Spall outperforms the state-of-the-art methods in reconstructing cell distribution patterns on multiple datasets. Notably, Spall reveals tumor heterogeneity in human pancreatic ductal adenocarcinoma samples and delineates complex tissue structures, such as the laminar organization of the mouse cerebral cortex and the mouse cerebellum. These findings highlight the ability of Spall to provide reliable low-dimensional embeddings for downstream analyses, offering new opportunities for deciphering tissue structures.

A polymer based vortex micropump fabricated by micro molding replication technique is described in this paper. The optically transparent and biocompatible material used to fabricate the micropump will enable the pump to be applied on many biomedical and chemical analyses applications. Fluid transmission of the vortex micropump is driven by the circumrotating motion of an impeller inside the micropump. The pump rate can reach 2.5 ml/min at a low operating voltage of 3 V with a power consumption of 345 m W from the experimental results. The fabrication process and performance characterization of this novel micropump is described in this paper.

A novel computer input system-the Micro Input Devices System (MIDS)-is under development by merging MEMS sensors and existing wireless technologies. This system could potentially replace the functions of the mouse, pen, and keyboard as input devices to the computer. The system could also be used as a general wireless 3D motion sensing device. In this paper, we will present our work on using MIDS for motion sensing application of robot hands. MIDS is used to evaluate the performance of PD adaptive control and Impedance control schemes in manipulating a five-fingered robot hand and in manipulating this hand to grasp a ball. Experimental results indicate that MIDS is capable of obtaining real-time 3D acceleration/vibration data wirelessly for the robotic hand, hence eliminating the need to perform the time-consuming integration of the position sensor data to obtain acceleration. Moreover, our initial results also indicate that further exploration of this technology could eventually produce a new control-input device for robotic grasping manipulators. These results are presented in this paper.

Heat generation is one of the major harming factors in the reaming process of the internal bone fixation surgery. In order to minimize the temperature rise of the bone during surgery, a reaming system with temperature sensation is developed to allow the real time tracking of the heat generation caused by rotational sliding friction. We have conducted experiments to calibrate and demonstrate the stability and sensitivity of the wireless transmitted temperature data. We have also analyzed the possible factors causing the temperature change of the bone cavity during surgery theoretically and performed experiments to validate these factors. An experiment was also conducted to demonstrate the sufficient penetrating power of the wireless temperature signals from a sensor inside a bone replicate.