Periplaneta americana is a common traditional Chinese medicinal material which has been used to treat arthritis, fever, aches, pains, and inflammation of the extremities for several hundred years. However, little scientific data exists in literature support its use. The purpose this study was evaluate antipyretic, anti-inflammatory analgesic activities extract (PAE) explore underlying mechanism. were evaluated by LPS-induced carrageenan-induced paw edema, abdominal writhing, hot plate...

Traffic flow prediction, one of the essential problems in traffic control and guidance systems, is still drawing increasing attention recent years with new methods tipped by success AI. In this paper, we propose a novel model, namely self-attention generative adversarial networks for time-series prediction (SATP-GAN). The SATP-GAN method based on (GAN) mechanisms, which are composed GAN module reinforcement learning (RL) module. module, apply layer to capture pattern data instead RNNs...

The migration of overlying rock layers caused by underground coal seam mining is the root cause all pressure manifestations in area. In order to visually record changes structure during mining, this paper proposes a borehole image monitoring method suitable for mining. Firstly, based on characteristics images collected actual environments, preprocessing that can weaken brightness and darkness features lighting intensity constructed improve recognition ability images. Subsequently, response...

Abstract Current data-driven fault diagnosis methods are prone to overfitting and a decrease in accuracy when working with only limited number of labeled samples. Additionally, existing graph neural network-based often fail comprehensively utilize both global local features. To address these challenges, we propose rolling bearing method based on multi-scale weighted visibility multi-channel convolutional network (MCGCN). Our approach converts vibration signals into multiple graphs from the...

The leaf is the organ that crucial for photosynthesis and production of nutrients in plants; as such, number leaves one key indicators with which to describe development growth a canopy. irregular shape distribution blades, well effect natural light, make segmentation detection process blades difficult. inaccurate acquisition plant phenotypic parameters may affect subsequent judgment crop status yield. To address challenge counting dense overlapped under environments, we proposed an improved...

Abstract Background The prediction of drug sensitivity plays a crucial role in improving the therapeutic effect drugs. However, testing effectiveness drugs is challenging due to complex mechanism reactions and lack interpretability most machine learning deep methods. Therefore, it imperative establish an interpretable model that receives various cell line feature data learn response mechanisms achieve stable predictions between available datasets. Results This study proposes new model,...

Segmenting 3D objects from a set of disordered point cloud is always one challenge work in Bin-pi cking systems. In this paper, an easy and valid algorithm proposed to solve problem. The data obtained low-cost depth camera, RealSense, can be quickly filtered much clean compact one, significantly saving the computing resources. points next divided into number sub-patch fragments, all sub-patches will finally joined independently larger ones by two criteria, i.e., extended convexity criterion...

Fitting a spatial arc to noisy point clouds with high accuracy and reproducibility is challenging, although it important in many applications, such as precise measurement, computerized numerical control machining robotic path planning. In optical measuring an arc-shaped object usually first scanned by 3D camera or multiple charge-coupled device cameras, fitting then invoked fit these clouds, obtaining the radius center. The of arc-fitting algorithm plays role arc-measuring precision. this...

Junction structures and rib constructions are utilized in various applications such as lightweight designs.As well geometric challenges, using directed energy deposition metal additive manufacturing techniques to build intersections junctions has the risk of having hydrostatic residual stress that can cause distortion or failure component.In this research, stresses were measured computationally via a calibrated finite element analysis model for several junction structures, which evaluated...

Accurate detection and reconstruction of branches aid the accuracy harvesting robots extraction plant phenotypic information. However, complex orchard background twisting growing vine fruit trees make this challenging. To solve these problems, study adopted a Mask Region-based convolutional neural network (Mask R-CNN) architecture incorporating deformable convolution to segment in backgrounds. Based on growth posture, branch algorithm with bidirectional sector search was proposed adaptively...

Cloud computing has become an important driving force in the economy and fundamental facility for digitization transformation. Due to its rapid development increasing demands, accurate resource usage prediction cloud been a long-term challenge. To address this challenge, paper introduces RCorrPolicy metrics selection proposes EN-Beats, efficient ensemble learning-based approach, predicting multiple usages cloud. The presents trace-driven experiments conducted on real-world dataset,...

Convolution computing plays an important role in scientific computing. However, traditional Message Passing Interface (MPI) model has the disadvantages such as massive message passing and load-unbalancing. According to these problems, this paper propose a new parallel convolution based on MPI model, which is able effectively balance load well bring great reduction passing. By analyzing speedup ratio efficiency, conclusions can be drawn that programming, obtains obvious promotions efficiency...