PromptRPA: Generating Robotic Process Automation on Smartphones from Textual Prompts

Robotic Process Automation (RPA) offers a valuable solution for efficiently automating tasks on the graphical user interface (GUI), by emulating human interactions, without modifying existing code. However, its broader adoption is constrained by the need for expertise in both scripting languages and workflow design. To address this challenge, we present PromptRPA, a system designed to comprehend various task-related textual prompts (e.g., goals, procedures), thereby generating and performing corresponding RPA tasks. PromptRPA incorporates a suite of intelligent agents that mimic human cognitive functions, specializing in interpreting user intent, managing external information for RPA generation, and executing operations on smartphones. The agents can learn from user feedback and continuously improve their performance based on the accumulated knowledge. Experimental results indicated a performance jump from a 22.28% success rate in the baseline to 95.21% with PromptRPA, requiring an average of 1.66 user interventions for each new task. PromptRPA presents promising applications in fields such as tutorial creation, smart assistance, and customer service.Comment: 34 page

Robust Linear Quadratic Regulator via Sliding Mode Guidance for Spacecraft Orbiting a Tumbling Asteroid

Aiming to ensure the stability of the spacecraft with multiuncertainties and mitigate the threat of the initial actuator saturation, a Robust Linear Quadratic Regulator (RLQR) via sliding mode guidance (SMG) for orbiting a tumbling asteroid is proposed in this paper. The orbital motion of the spacecraft near a tumbling asteroid is modelled in the body-fixed frame considering the sun-relative effects, and the orbiting control problem is formulated as a stabilization of a nonlinear time-varying system. RLQR based on the adaptive feedback linearization is proposed to stabilize the spacecraft orbiting with the uncertainties of the asteroid’s rotation and gravitational field. In order to avoid the initial actuator saturation, SMG is applied to generate the transition process trajectory of the closed-loop system. The effectiveness of the proposed control scheme is verified by the simulations of orbiting the asteroid Toutatis 4179

Foundation and technology of coordinated utilization of bulk solid waste ‘Three modernizations’ in coal power base

The construction of 14 large-scale coal bases and 89 demonstration bases for the comprehensive utilization of bulk solid waste in China marks that the utilization of bulk solid waste in mining areas has been incorporated into the national strategic development layout. The long-term high-intensity development and utilization of coal resources has caused the near depletion of shallow-buried coal seam resources in mining areas, and the large-scale solid waste accumulation and surface subsidence of coal power and chemical bases has become a problem restricting the green, low-carbon and high-quality development of mining areas. Co-operative utilization of bulk coal-based solid waste and green filling is an effective way to liberate the “three down and one up” pressed coal, extend the service life of mines, and realize the harmless, resourceful, and large-scale “three” utilization of solid waste. Based on the types and production of coal-based solid waste in Shanxi Province, the “East China Energy Granary” Anhui Lianghuai Base and Ningdong Energy and Chemical Base, it elaborates in detail the harmless disposal of coal-based solid waste through heavy metal adsorption and desorption and complexation passivation technology with coal gangue, fly ash, furnace slag, gasification slag and desulphurization gypsum as the main materials, listing the classification and application of coal-based solid waste, and the application of coal gangue, fly ash, furnace slag, gasification slag and desulphurization gypsum as the main materials. List the ways of resource utilization of coal-based solid waste classified and applied to low calorific value coal-based solid waste for power generation, preparation of building materials such as cement, bricks and tiles, etc. Comparatively analyze the ways of reclamation and backfilling of coal mining subsidence area and downhole filling and large-scale utilization of coal-based solid waste, highlighting the superiority of downhole filling of coal-based solid waste. Based on the deep coal resources of coal electrification bases, the theory and key technologies of green filling mining are proposed, including the synergistic technology of deep coal gangue source reduction and mining and filling, the technology of efficient preparation and deep underground transportation of filling materials, and the deep multi-field coupling mechanism of coal-based solid waste filling materials, and the technological principles and methods of the whole process of deep filling mining of multi-source coal-based solid waste from the source, process to the end are investigated to solve the technical problems of deep underground filling of mining areas. The technical problems of filling are solved. According to the geological conditions and filling purposes of Renjiazhuang Coal Mine in Ningdong Base, Huoerxinhe Coal Mine in Shanxi Province and Huaibei Mining Area, the key technologies of low-level filling by overdrilling, multi-separation layer stepped grouting under the conditions of atypical characteristics of key layers and synergistic utilization of coal-based solid wastes have been proposed, which comprehensively combine the advantages of disposal and utilization of solid wastes from mines, development and utilization of deep coal resources, control of subsidence of the ground surface, and ecological environment protection, and form a comprehensive plan for the disposal and utilization of bulk solid wastes from coal power and chemical bases. Coal power and chemical base bulk solid waste synergistic utilization and green mining mode, providing reference for high quality coal mining and low damage to the environment

YhjX Regulates the Growth of Escherichia coli in the Presence of a Subinhibitory Concentration of Gentamicin and Mediates the Adaptive Resistance to Gentamicin

The mechanisms of adaptive resistance of Escherichia coli to aminoglycosides remain unclear. Our RNA-Seq study found that expression of yhjX was markedly upregulated during initial exposure to subinhibitory concentrations of gentamicin. The expression of yhjX was then downregulated dramatically during a second exposure to gentamicin compared to the first exposure. YhjX encodes a putative transporter of the major facilitator superfamily, which is known to be the sole target of the YpdA/YpdB two-component system, the expression of which is highly and specifically induced by pyruvate. To investigate the effect of yhjX on the adaptive resistance of E. coli, in the present study, we constructed yhjX deletion and complemented strains of E. coli ATCC25922. Changes in extracellular pyruvate levels of wide-type and yhjX mutant were measured to determine whether YhjX functions as a pyruvate transporter. The results showed that yhjX deletion improved the growth of E. coli in medium containing subinhibitory concentrations of gentamicin. The yhjX deletion mutant did not exhibit adaptive resistance to subinhibitory concentrations of gentamicin. YhjX might not function as a pyruvate efflux pump in E. coli but was associated with the decrease following a sharp increase in the extracellular pyruvate level. Our findings indicate that yhjX regulates the growth of E. coli in the presence of a subinhibitory concentration of gentamicin and mediates the adaptive resistance to gentamicin

Wild Bird Migration across the Qinghai-Tibetan Plateau: A Transmission Route for Highly Pathogenic H5N1

BACKGROUND: Qinghai Lake in central China has been at the center of debate on whether wild birds play a role in circulation of highly pathogenic avian influenza virus H5N1. In 2005, an unprecedented epizootic at Qinghai Lake killed more than 6000 migratory birds including over 3000 bar-headed geese (Anser indicus). H5N1 subsequently spread to Europe and Africa, and in following years has re-emerged in wild birds along the Central Asia flyway several times. METHODOLOGY/PRINCIPAL FINDINGS: To better understand the potential involvement of wild birds in the spread of H5N1, we studied the movements of bar-headed geese marked with GPS satellite transmitters at Qinghai Lake in relation to virus outbreaks and disease risk factors. We discovered a previously undocumented migratory pathway between Qinghai Lake and the Lhasa Valley of Tibet where 93% of the 29 marked geese overwintered. From 2003-2009, sixteen outbreaks in poultry or wild birds were confirmed on the Qinghai-Tibet Plateau, and the majority were located within the migratory pathway of the geese. Spatial and temporal concordance between goose movements and three potential H5N1 virus sources (poultry farms, a captive bar-headed goose facility, and H5N1 outbreak locations) indicated ample opportunities existed for virus spillover and infection of migratory geese on the wintering grounds. Their potential as a vector of H5N1 was supported by rapid migration movements of some geese and genetic relatedness of H5N1 virus isolated from geese in Tibet and Qinghai Lake. CONCLUSIONS/SIGNIFICANCE: This is the first study to compare phylogenetics of the virus with spatial ecology of its host, and the combined results suggest that wild birds play a role in the spread of H5N1 in this region. However, the strength of the evidence would be improved with additional sequences from both poultry and wild birds on the Qinghai-Tibet Plateau where H5N1 has a clear stronghold

A Computationally Inexpensive Optimal Guidance via Radial-Basis-Function Neural Network for Autonomous Soft Landing on Asteroids

<div><p>Optimal guidance is essential for the soft landing task. However, due to its high computational complexities, it is hardly applied to the autonomous guidance. In this paper, a computationally inexpensive optimal guidance algorithm based on the radial basis function neural network (RBFNN) is proposed. The optimization problem of the trajectory for soft landing on asteroids is formulated and transformed into a two-point boundary value problem (TPBVP). Combining the database of initial states with the relative initial co-states, an RBFNN is trained offline. The optimal trajectory of the soft landing is determined rapidly by applying the trained network in the online guidance. The Monte Carlo simulations of soft landing on the Eros433 are performed to demonstrate the effectiveness of the proposed guidance algorithm.</p></div

The Radial Basis Function Neural Network model.

<p>This figure illustrates the model of the RBFNN. The network has three layers: the input layer, the middle layer and the output layer. The input of the network is passed to all neurons by the input layer. In the middle layer, the neurons of the radial basis function output values based on the inputs. The output of the network is the sum of the outputs of the neurons with different coefficients by the output layer.</p

The conceptual illustration of the spacecraft’s thrust vector.

<p>This figure illustrates the physical relationships of the variables in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0137792#pone.0137792.e001" target="_blank">Eq (1)</a>.</p

The contrast of the results.

<p>The contrast of the results.</p

The parameters of the simulation.

<p>The parameters of the simulation.</p