Study on Queuing System Optimization of Bank Based on BPR

AbstractThis paper focuses on improving the queuing system of bank based on BPR. Firstly, the bottleneck problems of bank queuing is analyzed as well as the concept, classification and methodologies of BPR (business process reengineering). Secondly, the bank businesses are investigated and analyzed. Thirdly, the queuing system of certain bank is optimized based on BPR by enterprise dynamic simulation. Finally, the simulated results are discussed and the optimized result is concluded

Designer's Choice for Paid Research Study

We consider constrained sampling problems in paid research studies or clinical trials. When qualified volunteers are more than the budget allowed, we recommend a D-optimal sampling strategy based on the optimal design theory and develop a constrained lift-one algorithm to find the optimal allocation. We theoretically justify the optimality of our sampling strategy and show by simulations and a real data example its advantage over simple random sampling and proportionally stratified sampling.Comment: 22 page

The Role of Human Capital: Evidence From Patent Generation

Firms exhibit persistence in innovation output. This paper focuses on the role played by individual inventors. Compared to firm organizational capital, human capital embedded in inventors explains a majority of the variation in innovation performance but much less in innovation style. Inventors contribute more when they are better networked, in firms with higher inventor mobility, and in industries in which innovation is more difficult. Additional tests suggest that our main findings are unlikely driven by inventors’ endogenous moving. This paper highlights the importance of human capital in enhancing firm innovation and sheds new light on the theory of the firm

Do Individuals or Firms Matter More? The Case of Patent Generation

This paper studies the relative importance of individual inventors’ human capital and firms’ organizational capital in promoting a firm’s innovation output. We decompose the variation in innovation output into inventor- and firm-specific components. Inventors’ human capital is about 13 times as important as firms’ organizational capital in explaining a firm’s innovation performance in terms of patent counts and citations, while inventors’ human capital is only about the same as important when explaining the firm’s innovation styles in terms of patent exploratory and exploitive scores. In the cross section, inventors contribute more to innovation output when they are better networked, in firms with higher inventor mobility, in industries in which innovation is more difficult to achieve, and in publicly traded firms. Additional tests suggest that our main findings continue to hold after accounting for inventors’ endogenous moving. This paper highlights the importance of individual inventors in enhancing firm innovation and sheds new light on the theory of the firm

Memory-and-Anticipation Transformer for Online Action Understanding

Most existing forecasting systems are memory-based methods, which attempt to mimic human forecasting ability by employing various memory mechanisms and have progressed in temporal modeling for memory dependency. Nevertheless, an obvious weakness of this paradigm is that it can only model limited historical dependence and can not transcend the past. In this paper, we rethink the temporal dependence of event evolution and propose a novel memory-anticipation-based paradigm to model an entire temporal structure, including the past, present, and future. Based on this idea, we present Memory-and-Anticipation Transformer (MAT), a memory-anticipation-based approach, to address the online action detection and anticipation tasks. In addition, owing to the inherent superiority of MAT, it can process online action detection and anticipation tasks in a unified manner. The proposed MAT model is tested on four challenging benchmarks TVSeries, THUMOS'14, HDD, and EPIC-Kitchens-100, for online action detection and anticipation tasks, and it significantly outperforms all existing methods. Code is available at https://github.com/Echo0125/Memory-and-Anticipation-Transformer.Comment: ICCV 2023 Camera Read

Process preparation resources integration service mode and semantic description in manufacturing grid

Abstract. Manufacturing enterprises are now facing serious challenges and pressures from the tide of globalization. After analyzing the features of process preparation resource, the integration service mode and semantic description for process preparation based on manufacturing grid is studied. Firstly, process preparation resources are defined and classified. Secondly, information modeling of process preparation in manufacturing grid is discussed. Thirdly, the integrated service mode of process preparation resources in manufacturing grid is discussed. Finally, an example of one kind of process preparation resource is given to illustrate the resource semantic description based on XML. Above research is benefit for application of manufacturing grid and the information progress of national defense industry

Chat-PM: A Class of Composite Hybrid Aerial/Terrestrial Precise Manipulator

This paper concentrates on the development of Chat-PM, a class of composite hybrid aerial/terrestrial manipulator, in concern with composite configuration design, dynamics modeling, motion control and force estimation. Compared with existing aerial or terrestrial mobile manipulators, Chat-PM demonstrates advantages in terms of reachability, energy efficiency and manipulation precision. To achieve precise manipulation in terrestrial mode, the dynamics is analyzed with consideration of surface contact, based on which a cascaded controller is designed with compensation for the interference force and torque from the arm. Benefiting from the kinematic constraints caused by the surface contact, the position deviation and the vehicle vibration are effectively decreased, resulting in higher control precision of the end gripper. For manipulation on surfaces with unknown inclination angles, the moving horizon estimation (MHE) is exploited to obtain the precise estimations of force and inclination angle, which are used in the control loop to compensate for the effect of the unknown surface. Real-world experiments are performed to evaluate the superiority of the developed manipulator and the proposed controllers

Biotransformation of doxycycline by \u3ci\u3eBrevundimonas naejangsanensis\u3c/i\u3e and \u3ci\u3eSphingobacterium mizutaii\u3c/i\u3e strains

The fate of doxycycline (DC), a second generation tetracycline antibiotic, in the environment has drawn increasing attention in recent years due to its wide usage. Little is known about the biodegradability of DC in the environment. The objective of this study was to characterize the biotransformation of DC by pure bacterial strains with respect to reaction kinetics under different environmental conditions and biotransformation products. Two bacterial strains, Brevundimonas naejangsanensis DD1 and Sphingobacterium mizutaii DD2, were isolated from chicken litter and characterized for their biotransformation capability of DC. Results show both strains rely on cometabolism to biotransform DC with tryptone as primary growth substrate. DD2 had higher biotransformation kinetics than DD1. The two strains prefer similar pHs (7 and 8) and temperature (30 °C), however, they exhibited opposite responses to increasing background tryptone concentration. While hydrolysis converted DC to its isomer or epimer, the two bacterial strains converted DC to various biotransformation products through a series of demethylation, dehydration, decarbonylation and deamination. Findings from the study can be used to better predict the fate of DC in the environment

Integration of ATAC-seq and RNA-seq identifies active G-protein coupled receptors functioning in molting process in muscle of Eriocheir sinensis

Discontinuous muscle growth during molting is an important feature of Eriocheir sinensis. Molting is a physiological process completed by the cooperation of multiple organs. Signal transmission is critical for the accurate regulation of each step in molting. However, the knowledge of the signal transduction mechanism in the molting process of E. sinensis is presently very limited. In this work, the chromatin accessibility and gene expression of the muscle in E. sinensis in pre-molt (D) and post-molt (A) stages were sequenced by assay of transposase accessible chromatin sequencing (ATAC-seq) and RNA-seq, respectively. The differentially expressed genes (DEGs) in the muscle before and after molting were analyzed by combining ATAC-seq and RNA-seq, especially the G-protein coupled receptor (GPCR) genes in the process of signal transduction. The results showed that there were 616 common DEGs in ATAC-seq and RNA-seq in A vs. D stages, of which 538 were upregulated and 78 were downregulated. In the 19 DEGs included in the signaling transduction process, 13 were located in the GPCR signaling pathway and all were upregulated in A stages, which indicated that GPCRs play a leading role in muscle signal transmission during post-molt stage in molting. In these genes, the structure of the proteins encoded by 10 membrane-located genes with transmembrane activity was further analyzed. Six candidate GPCR genes were finally identified and further verified by real-time quantitative PCR (qRT-PCR). The GPCRs include metabotropic glutamate receptor 7, Mth-like 4, and Mth2 proteins. These results show the existence of GPCRs in the muscle of E. sinensis and, for the first time, found their dominant role in the signal transduction process during molting. It provides important clues for the study of muscle discontinuous growth and molting mechanism of E. sinensis

Large fine‐scale spatiotemporal variations of CH4 diffusive fluxes from shrimp aquaculture ponds affected by organic matter supply and aeration in Southeast China

Mariculture shrimp ponds are important CH4 sources to the atmosphere. However, the spatiotemporal variations of CH4 concentration and flux at fine spatial scales in mariculture ponds are poorly known, particularly in China, worlds largest aquaculture producer. In this study, the plot‐scale spatiotemporal variations of water CH4 concentration and flux, both within and among ponds, were researched in shrimp ponds in Shanyutan wetland, Min River Estuary, Southeast China. The average water CH4 concentration and diffusion flux across the water‐air interface in the shrimp ponds over the shrimp aquaculture period varied from 2.29 ± 0.29 to 50.48 ± 20.91 μM and from 0.09 ± 0.01 to 2.32 ± 0.95 mmol·m−2·hr−1, respectively. The CH4 emissions from the estuarine ponds varied greatly between seasons, with peaks in August and September, which was similar to the trend of water temperature and dissolved oxygen concentrations. There was no remarkable difference in CH4 concentration and flux between shrimp ponds but significantly spatiotemporal differences in CH4 concentration and flux within the ponds. Significantly higher emissions occurred in the feeding zone, accounting for approximately 60% of total CH4 emission flux, while much lower CH4 emissions appeared in aeration zone, contributing 14% to total flux. This study suggests the importance of considering spatiotemporal variation in the whole‐pond estimates of CH4 concentration and flux. In light of such high spatial variation within ponds, improving aeration and feed utilization efficiency would help to mitigate CH4 emissions from mariculture ponds