Feasible Path Research Articles

Amorphous Bi-BiOx - inducted directional charges transfer in stalactite-like carbon nitride heterojunction for effective photocatalytic H2O2 production

Photocatalytic technology provides a clean and sustainable method for producing hydrogen peroxide (H2O2), while, the yield is significantly hindered by the rapid recombination of charge carrier and the low oxygen reduction activity of catalyst. Herein, the Bi-BiOx/CN heterojunction was successfully constructed by homogeneously loaded amorphous Bi-BiOx species on stalactite-like CN just via one-step pyrolysis with the pre-coordination confinement strategy. In the Bi-BiOx/CN heterojunction, the Bi-BiOx species acted as electron storage layer and induced electrons directional migrate from CN to Bi-BiOx species, which promoted the carrier separation. Meanwhile, the three-dimensional stalactite structure of CN not only increased the active sites and gas shuttle pores, but also shorten the electrons and holes diffuse distance from the bulk phase to the surface. As expected, the H2O2 generation rate of optimal Bi-BiOx/CN-10 reached 6036 μM/g/h, which is 1.86 times higher than that of CN. The experimental results proved that ·O2– plays an important role in H2O2 production, and the direct 2e- ORR reaction and the indirect 2e- ORR reaction coexist. This work validates the potential of Bi-BiOx species as an alternative to noble metals for heterojunction construction, and provides a feasible path for regulating efficient directional transfer of charge transfer.

THE ROLE OF WORK MOTIVATION IN MEDIATING WORK DISCIPLINE AND ORGANIZATIONAL CULTURE ON EMPLOYEE PERFORMANCE OF WEST RENGAT DISTRICT OFFICE, INDRAGIRI HULU REGENCY

The location of this research is at the Rengat Barat District Office, Indragiri Hulu Regency, with the aim of knowing the effect of work discipline on work motivation, the effect of organizational culture on work motivation, work discipline on employee performance, the effect of organizational culture on employee performance, the effect of work motivation on employee performance, To find out the role of work motivation in mediating work discipline on employee performance, to find out the role of work motivation in mediating organizational culture on employee performance at the Rengat Barat District Office, Indragiri Hulu Regency. The researcher took the population and sample of employees of the Rengat Barat District Office, Indragiri Hulu Regency. A total of 40 employees with this sampling method were selected using a saturated sampling technique (census). The data in this study were analyzed using quantitative methods and all data obtained were processed using model feasibility tests, path analysis and hypothesis tests using the SPSS program version 21.00, and presented in tabulation form with the Likert scale method. The results of this study indicate that: Work discipline has a significant effect on work motivation, Organizational culture has a significant effect on work motivation, Work discipline has a significant effect on employee performance, Organizational culture has a significant effect on employee performance, Work motivation has a significant effect on employee performance, Work motivation does not mediate the relationship between work discipline and employee performance, Motivation does not mediate the relationship between organizational culture and employee performance at the Rengat Barat District Office, Indragiri Hulu Regency.

The Cyber Attack in the Use of Force

Abstract: It is controversial whether cyber attacks can constitute the use of force, and it is also difficult to reduce cyber attacks in the use of force. This article will start from arguing the definition of using force, then discuss how can cyber attacks be interpreted as a form of using force and how to regulate cyber attacks from three orientations, which is a cyber attack that attributable to individuals, attributable to organizations, and attributable to countries. Finally, this article will focus on finding out a recommendation on how to identify a cyber attack with the one that can attributed to a country with the purpose of reducing the cyber attack in the use of force, that is, reverse the burden of proof in the investigation of an international cyber attack. This method aims at increasing the possibility of bearing state responsibility. And this article will explore the feasibility and improvement path of this method in order to make the idea more practical.

A decomposition approach to solve the individual railway crew Re-planning problem

Crew re-planning is an important and difficult task in railway crew management. In this paper, we establish a path-based model solving the Individual Crew Re-planning Problem (ICRP). The individual indicates that we focus the problem on specific (non-anonymous) crew members, considering their roles (leader and cabin crew) and qualifications. This problem is inspired by the crew planning problem faced in Chinese high-speed railway operations. To generate feasible paths, we construct a multi-layer time-space connection network and develop a heuristic algorithm. To decrease the complexity and scale of the model, we decompose the ICRP into two sub-problems (for leaders and for cabin crew members respectively) which can be solved in sequence. In addition, we develop a Lagrangian relaxation (LR) algorithm to get valid paths quickly for both sub-problems. We combine the LR algorithm with solving the restricted decomposed models to get a good quality solution for the studied ICRP problem. We test our methods on several real-world instances from Chinese high-speed railways. The computational experiments show that our LR algorithm with a decomposition strategy can solve the decomposed models in a relatively short computation time compared to solving the original model directly, while obtaining (near-)optimal solutions for all instances.

Comparative Analysis of Incentive Mechanism of Human Resource Management in Public Management and Enterprise Management

With the progress of society, the market economic system continues to develop and improve, the market environment is becoming more and more complex, and the market competition is becoming more and fiercer. Human resource management plays an increasingly prominent role in public management and enterprise management. As an important part of human resource management, incentive mechanism affects the flow of talents, work efficiency, enthusiasm, work quality and other aspects. How to improve the incentive mechanism to promote the healthy development of employees and achieve the organizational goals has become a practical problem that public organizations and enterprises must solve. This paper will focus on analyzing the differences and commonalities between the incentive mechanisms of public management and enterprise management, and then propose feasible innovation strategies and implementation paths for the incentive mechanisms of public management and enterprise management according to China's actual situation and combined with international advanced experience The purpose of this paper is to improve the two internal structure management and work efficiency and quality to meet the new requirements of future social and economic development.

Enhancing software quality assurance in ubiquitous learning environments through mutation testing and diverse test oracles

Ubiquitous learning enables software analysts to acquire knowledge and design test oracles from online resources including developer documentations, forums and collaborative platforms. Test oracles are primarily designed by humans and may contain quality defects. Mutation testing can facilitate the adaptability of ubiquitous learning to enhance software quality assurance. Unfortunately, mutation testing generates a large number of faulty versions known as mutants to analyze the quality of test oracles which is computationally expensive. In this paper, we proposed minimal path selection strategy to select fewer and non-trivial mutants to analyze diverse test oracles realizing ubiquitous learning environments. The proposed selection strategy explores the relationship between faulty conditions and output statements to identify feasible paths. To establish a ubiquitous learning setup, diverse test oracles are selected by incorporating user input, automated scripts and developer insights. This approach aims to enhance learner engagement and effectively design test oracles. The empirical evaluation and state-of-the-art comparison of various Java-built software programs demonstrated the potential of ubiquitous learning in software quality assurance by reducing 75% of the generated mutants. Furthermore, only 64%–85% of adequate test oracles were required to meet the desired quality assurance criteria. The study highlights the significance of personalized and adaptive approaches to assure software quality in ubiquitous learning environments.

Hydrocarbonization of the pigeon pea husk as an alternative to increase the biosorption of the industrial dye yellow tartrazine from aqueous solutions

Tartrazine Yellow is a synthetic dye that is part of industrial effluents and can harm the environment when disposed of incorrectly. Biosorbents are alternatives to reduce the cost of the adsorption technique and add value to agricultural wastes. This work reports an investigation regarding the hydrocarbonization process effect on the adsorption capacity of Pigeon Pea Husk, for the removal of the dye from aqueous solutions. The adsorbents were treated chemically and were characterized. The kinetics and adsorption isotherms were investigated and the results showed that the pseudo second-order and Langmuir were the best models, respectively. The hydrocarbonization process increase the adsorption of the adsorbent from 1.54 mg g-1 to 3.60 mg g-1. The increase was even greater in the basic medium, reaching the highest adsorption capacity of 4.78 mg g-1. The hydrocarbonization process was demonstrated to be a sustainable and feasible path to increase the adsorption capacity.

Statistical characteristics of realistic fiber misalignments of unidirectional composites: Fitting distributions and scanning length effects

This paper presents a comprehensive study on the statistical characteristics of angle, tortuosity, curvature and wave magnitude to deepen the understanding of realistic fiber misalignments within unidirectional composites. A feasible fiber path reconstruction procedure has been optimized, which can be applicable to other types of composites. The high-resolution micrographs are acquired through X-ray computed tomography. The individual fiber segmentation is implemented using a U-Net deep learning method, and the fiber trajectories are reconstructed with the aid of a tracing algorithm. The stepped fiber trajectories are slightly smoothed and a polynomial fitting formula is adopted to quantitatively describe the fiber paths. The statistical characteristics corresponding to the differential tortuosity, misalignment angle, spatial curvature and wave magnitudes are comprehensively analyzed, with emphasis on their fitting distributions and scanning length effects. The collected data indicate that the statistical distributions of differential tortuosity and angle, curvature, and wave magnitude can be well fitted by normal, lognormal and Weibull equations, respectively. Particularly, the differential tortuosity and wave magnitude are overall features of individual fiber trajectory, which are highly correlated with the scanning length. In contrast, the angle and curvature are local features, so a smaller scanning length could obtain convergent results.

Experience with reduced-nicotine cigarettes and whether this decreases smoking and substitution for full-nicotine cigarettes.

Studies suggest that reduced-nicotine cigarettes decrease nicotine intake and dependence. However, questions remain about reduced-nicotine cigarette abuse liability, whether reduced-nicotine cigarette exposure lowers reduced- and full-nicotine cigarette use, and whether reduced-nicotine cigarettes substitute for full-nicotine cigarettes. This randomized, double-blind laboratory study used operant behavioral economics to examine abuse liability of cigarettes with varying nicotine content. Non-treatment-seeking smokers (N = 43) self-administered reduced- (5.2, 2.4, or 1.3 mg/g) and full-nicotine (15.8 mg/g) cigarettes before and after 3 weeks of at-home exposure. Participants were randomized to full-nicotine or one of the reduced-nicotine cigarettes to determine the effect of exposure on abuse liability and substitutability. Abuse liability was assessed in single-commodity sessions, and substitutability was measured in concurrent-commodity sessions. In the self-administration sessions, concurrently available reduced-nicotine cigarettes attenuated full-nicotine cigarette demand and rendered reduced-nicotine cigarettes partial substitutes for full-nicotine cigarettes. Exposure to study cigarettes for 3 weeks marginally reduced demand for reduced- and full-nicotine cigarettes irrespective of nicotine content. Results suggest a limited influence of nicotine content on smoking behavior in established smokers and highlight the role of nonpharmacological factors (e.g., taste/smell) on the maintenance of smoking. These results should be considered in determining whether a nicotine-reduction standard is a feasible path for reducing cigarette demand.

Thermodynamic study of semi-closed rankine cycle based on direct combustion of hydrogen fuel

Electrolysis of water for hydrogen-production has enormous potential. This study proposes a semi-closed Rankine cycle for efficiently utilizing direct hydrogen combustion via thermal power conversion. Unlike traditional closed Rankine cycles, combustion occurs inside the combustion chamber with hydrogen and pure oxygen, followed by a mixed heat exchange with the mainstream working fluid, water. The heat absorption process of the semi-closed Rankine cycle occurs within the working fluid and exhibits characteristics of both open and closed cycles. Thus, this cycle can combine the advantages of desirable parameters and isothermal heat rejection of the Rankine cycle. Applying the semi-closed Rankine cycle to hydrogen fuel utilization yields a higher energy efficiency, especially when coupled with a supercritical compression regeneration process. The main steam parameters were 620 °C/30 MPa, the cycle's average heat absorption temperature reached 561 °C, and its energy efficiency was 59.35%. When the main steam parameters were increased to 1200 °C/30 MPa, the average heat absorption temperature rose to 1021 °C and its energy efficiency was 68.27%, demonstrating a significant efficiency advantage. The newly proposed semi-closed Rankine cycle based on direct combustion of hydrogen fuel provides a novel and feasible path for exploring the efficient utilization of hydrogen.

Unmanned combat aerial vehicle path planning in complex environment using multi-strategy sparrow search algorithm with double-layer coding

Unmanned combat aerial vehicles (UCAV) path planning in complex environments demands a substantial number of path points to determine feasible paths. Establishing an effective flight path for UCAVs requires numerous path points to account for fuel constraints, artillery threats, and radar avoidance. This increase in path points raises the dimensionality of the problem, which in turn degrades algorithm performance. To mitigate this issue, a double-layer coding (DLC) model is utilized to remove redundant path points, consequently lowering computational complexity and operational difficulties. Meanwhile, this paper introduces a novel enhanced sparrow search algorithm (MESSA) based on multi-strategy for UCAV path planning. The MESSA incorporates a novel dynamic fitness regulation learning strategy (DFRL), a random differential learning strategy (RDL), an elite example equilibrium learning strategy (EEEL), a dynamic elimination and regeneration strategy based on the elite example (DERE), and quadratic interpolation (QI). Furthermore, MESSA is compared against 11 state-of-the-art algorithms, demonstrating exceptional optimization performance and robustness. Additionally, the combination of MESSA with the DLC model (DLC-MESSA) is applied to solve the UCAV path planning problem. The experimental results from five complex environments indicate that DLC-MESSA outperforms other algorithms in 80% of the cases by achieving the lowest average cost, thereby demonstrating its superior robustness and computational efficiency.

Research on the Value and Path of Family Art Education-Take Vocal Music Education as an Example

By discussing the application of vocal music education in family art education, this paper reveals the value and diversified implementation path of family art education. Family art education not only helps to improve children's cognitive, emotional and social skills, but also promotes the improvement of parent-child relationship through art forms. On the basis of relevant research at home and abroad, taking vocal music education as an example, we analyze the unique role of family art education and propose a feasible implementation path. The research believes that family art education can cultivate children's artistic literacy, innovation ability, self-confidence and social skills, contribute to the enhancement of family cohesion, and also provide theoretical and practical guidance for the promotion of art education in the family environment.

The Breakthrough Path of Chemical Industry Practitioners under the Vision of “Carbon Neutrality”

Carbon neutrality is an unstoppable trend. In the context of increasingly stringent policy constraints, pushing regulatory rigidity to its limits, “chemists” face severe challenges in both survival and transformation. How to respond to these changes and achieve a breakthrough is the mission and responsibility of “chemists.” This article delves into the internal mechanisms of carbon neutrality, exploring the contributions and feasible paths for chemists within this vision. By enhancing management through park circularity and technological innovation through process intensification, chemists can achieve a victorious breakthrough under the carbon neutrality vision.

Innovation and Development of Talent Management Model in Colleges and Universities Under the Background of Digitalization

The vigorous development of the digital economy has put forward new and higher requirements for talent training in colleges and universities. In order to cultivate outstanding talents in the new era with both interdisciplinary knowledge application ability and innovative thinking, colleges and universities must keep up with the pace of the development of the digital era, from macro to local, comprehensive innovation of talent management mode, and lead the development with innovation. Only in this way can they flexibly respond to various challenges and opportunities under the digital background, and help colleges and universities achieve the goal of long-term development. Based on the current situation of talent management in colleges and universities, this paper elaborates the feasible path of innovation and development of talent management mode in colleges and universities under the background of digitalization from the perspectives of talent training and talent service. At the same time, the exposed data security and privacy protection issues are also discussed in depth. To contribute to the realization of the goals of refinement, individuation, and intelligence of talent management in colleges and universities through the research and related exposition.

Research on the Path of Transition from Financial Accounting to Management Accounting Under the Background of Big Data

Driven by the wave of big data, the traditional financial accounting model faces an urgent need for transformation, as it struggles to adapt to the complex requirements of modern enterprise management. This paper aims to explore the feasible path for transitioning enterprise financial accounting to management accounting in the context of big data. It first analyzes the limitations of financial accounting in the era of big data, then highlights the necessity of transitioning to management accounting. Following this, the paper outlines the various challenges that may arise during this transition and, based on the analysis, proposes a series of corresponding transition strategies. These strategies aim to provide theoretical support and practical guidance for enterprises seeking a smooth transition from financial accounting to management accounting.

Evolution mechanism and improvement path of marine economy resilience in Bohai Rim Region

The marine economy resilience is one of the key attributes to measure the sustainable development of marine economy system. In this paper, the core and controlling influencing factors are systematically screened out. The cross-scale evolution mechanism of marine economy resilience of overall and inter-provincial in the Bohai Rim Region is explored by using the spatial econometric model based on the spatial effect level. Meanwhile, the feasible improvement path is proposed for each region considering the quantification utility levels of the influencing factors in each region. The results are as follows: (1) Marine industrial structure Ind and ocean-related employment Emp significantly enhance the marine economy resilience in the Bohai Rim Region, while financial development scale Fin significantly inhibits it; (2) The positive development trend of Liaoning’s marine economy resilience is mainly due to the promoting role of financial development scale Fin, marine industrial structure Ind and marine economy scale Sca; (3) The development of marine economy resilience in Tianjin-Hebei mainly depends on marine economy scale Sca and marine infrastructure Cap; (4) Financial development scale Fin, marine industrial structure Ind, marine economy scale Sca and marine infrastructure Cap have jointly promoted the rapid development of Shandong’s marine economy resilience. Therefore, the improvement path of the overall and inter-provincial marine economy resilience in the Bohai Rim Region is determined and proposed, which effectively promote the sustainable and stable development of its marine economy.

Harnessing the power of rhizosphere bacteria for pollution remediation: strategies, mechanisms, and environmental impact: A review

This review explores into the sizeable potential of rhizosphere bacteria as effective mediators in the pollution remediation. These rhizosphere bacteria are primarily found in the soil surrounding plant roots, and they have an extremely strong ability to remove a wide range of toxins from the environment. This is attuned with the idea of phytoremediation, which is the use of plants to clean adulterated soil or water. In addition to vigorous participation in bioremediation processes, their diverse activities include stimulating plant growth and serving as biocontrol agents against plant diseases. Their ability to gather, change, and restrain pollutants is one of their main advantages, especially when used in combination with phytoremediation techniques. To fully utilize these microorganisms, it is essential to understand the various bacterial strains and their complex biological pathways that influence their behavior. The diversity and richness of rhizosphere bacterial populations, significantly affected by different plant species and environmental factors, is a crucial area that requires further study. Grasping this heterogeneity is essential for adapting phytoremediation strategies to particular contamination situations and exploiting their effectiveness. Rhizosphere microorganisms present a feasible path towards a more supportable and clean future. This might potentially make a big contribution to environmental restoration efforts in a world that is always changing.

Carbon Footprint Assessment Based on Agricultural Traceability System Records: A Case Study of Onion Production in Southern Taiwan

This study proposes an improved methodology based on life cycle assessment (LCA), which is used to calculate the carbon footprint of agriculture, provides a simple and feasible calculation path, and constructs a streamlined framework for calculating the carbon footprint based on the agricultural traceability system records. Using important economic crop (Onion) as research subject, and choose the largest planting area in R.O.C. (southern Taiwan) as a case study. A total of 64 farm production history records have been collected, includes all of farms certified with a traceable agricultural products (TAP) label. Through a detailed analysis of the traditional carbon footprint calculation method, found that agricultural traceability system records could replace the data source in carbon footprint verification (CFV) process, and system records could be used as activity data after being organized. With our method, no need to go through a complicated CFV process, just download the existing data on agricultural traceability system, can start calculating carbon footprint as soon as possible. To compared to traditional assessment method, results show a margin of error is less than 6% compared to traditional assessment methods. Advantages of improved method were be found, such as easy data acquisition, simplified calculation steps, and improved data transparency and accuracy. From statistical data, show that at least seven categories of carbon emission sources for carbon footprints, the most significant of carbon emission impact are fertilizers. The result of improved methodology based on life cycle assessment (LCA), show that using the improved methods can help promote the carbon footprint management efficiency of agricultural organizations such as Farmers’ Association or Agricultural Production Marketing Group, promptly monitor the carbon footprint status of their fields and adjust strategies to reduce carbon footprints in real-time, advancing towards the goal of net-zero carbon emissions.

The Impact of Digital Capabilities on Peasants’ Wage Growth: Evidence from Chinese Farmer Entrepreneurs

The gradual integration of digital technology into traditional Chinese villages has triggered a shift in income distribution from labor to capital, posing challenges to the wage growth of employed peasants. Based on the theory of empowerment, this paper explores the mechanisms of credit availability and talent loss in the interplay between digital capabilities and wage augmentation among employed peasants. This study empirically examines or validates the mechanism of digital capabilities on wage growth for employed peasants through the entropy weight method, the OLS linear model, the mediation effect model, and propensity score matching while using survey data from 490 farmer entrepreneurs as samples. The findings are as follows. (1) The digital capabilities of farmer entrepreneurs have a significant positive impact on the wage growth of employed peasants, and this result remains robust after a series of robustness checks. In terms of hierarchical effects, digital foundational capabilities > digital application capabilities > digital innovation capabilities. (2) Credit availability and talent loss mediate the relationship between digital capabilities and wage growth for employed peasants. (3) The digital capabilities of farmer entrepreneurs who are young, highly educated, and have a low family-dependency ratio exert a more pronounced influence on the wage growth of employed peasants. Additionally, lower policy uncertainty enhances the effect of digital capabilities on wage growth for employed peasants. The study uncovers the empowerment mechanism of digital advancements embedded during the entrepreneurial journey, enriches research on digital capabilities and common prosperity, and provides a feasible path for governments to formulate reasonable entrepreneurship and digital promotion policies.

An efficient ultrasound vibration strategy for suppressing intra-bundle pores and regulating pore morphology in carbon fiber-reinforced composites

The competitive resin flow between intra- and inter-bundles, always causes the generation of intra-bundle pores during resin transfer molding (RTM), thereby weakening composite mechanical performance. Accordingly, an ultrasound vibration strategy is originally developed to efficiently suppress and improve the spatial morphology and distribution of intra-bundle pores in RTM manufacturing. The effects of ultrasound vibration on the spatial evolution of intra-bundle pores are systematically investigated, furthermore, the suppression mechanisms of intra-bundle pores are revealed. Additionally, an empirical model that predicts porosity under ultrasound vibration, is established and well validated for the developed ultrasound vibration strategy, which provides a feasible path for effectively manufacturing composites. X-ray micro-computed tomography experiments verify that applying a short period of ultrasound vibration balances the dual-scale flow by regulating the modified capillary number, thereby significantly reducing porosity by up to 59.4 %. Numerical analyses indicate that the acoustic cavitation and acoustic flow induced by the ultrasound vibration, facilitate the collapse and transverse migration of larger bubbles, thereby remarkably suppressing the connected pores and larger pores. In particular, the ultrasound vibration strategy completely removes the pores larger than 300 μm. Besides, the collective effects of vibration, compression, and shear forces contribute to forming near-circular pores, which are beneficial for ensuring the expected mechanical performance of composites.