Impact Of Power Research Articles

Microwave-synthesized aluminum, gallium and indium-substituted stannite nanocrystal absorbers for solar cell applications

A novel family of Cu2FeXS4-x (X = Sn, Al, Ga & In) semiconductors with tetragonal stannite crystal structurehave been designed by a simple microwave assisted method. The impact of microwave power on the morphological, structural,spectroscopic and electrochemical properties were investigated. X-ray Diffraction (XRD) clearly revealed that the complete substitution of Sn (0.69 Å) with Al (0.54 Å), Ga (0.62 Å) and In (0.80 Å) did not affect the tetragonal arrangement of the stannite crystal structure except for a slight peak shift. High resonance scanning and transmission electron microscopy (HRSEM and HRTEM) revealed nano bullets, hexagonal prism, triangular nanoplates and spherical morphology with nanocrystal sizes ranging from 8 to 13 nm for CFXS nanocrystals. The UV–visible spectroscopy shows strong light absorption in the whole visible range with band gaps of between 1.2 and 1.6 eV suggesting its potential application as an absorber in thin film solar cells. Doctor blading method was used to coat CFXS nanocrystal inks on CdS coated ZnO nanorod arrays to fabricate a superstrate solar cell devices with the architecture ITO/ZnONRs/CdS/CFXS/Ag. The solar cell devices fabricated with copper iron tin sulfide (CFTS), copper iron aluminium sulfide (CFAS), copper iron gallium sulfide (CFGS) and copper iron indium sulfide (CFIS) absorbers displayed a power conversion efficiency (PCE) of 0.21%, 0.15%, 0.58% and 0.41% respectively. The photovoltaic response exhibited by the novel materials is quite positive and this shows that they can in fact be utilized to design solar cells with strong photovoltaic properties.

Synthesis and characterization of Al2O3-methanol nanofluid and its usage in bubble column for an improved mass transfer rate

Methanol-based physical absorption, known for its effective CO2 capture ability, has been employed in acid gas removal (AGR) unit. However, the high energy consumption associated cooling methanol and acid gas hampers its widespread adoption. To address this challenge, numerous studies have explored the use of nanoparticles to enhance the CO2 absorption at room temperature, thereby reducing the energy requirements. In this study, the objective is to synthesize and characterize the Al2O3-methanol nanofluid and investigate its application in a bubble column for improved mass transfer rates during CO2 absorption. The methanol based Al2O3 nanofluid was prepared using the two-step method with ultrasonication technology and CO2 absorption in the resultant product was investigated. Initially, 0.001 vol%, 0.01 vol % and 0.1 vol% Al2O3 nanoparticles was added to methanol solution and to mixture them well via ultrasonication technology. The static settlement method and zeta potential analysis were utilized to characterize the stability of the as-prepared nanofluid. Both impact of sonication power and time on the stability of nanofluid were discussed as well. Then, numerical simulations was employed to investigate the mass transfer coefficient for CO2 absorption and the numerical uncertainty was carefully analyzed to verify the reliability of the numerical method. It revealed a 7.3%, 29.2% and 60.7% enhancement in mass transfer coefficient during CO2 absorption for 0.001 vol%, 0.01 vol% and 0.1 vol% nanoparticles under room temperature, respectively. The visualized reason for this improvement was related to the enhanced bubble breakup and coalescence after adding nanoparticles to methanol. The expanded interfacial area between gas and liquid plays a vital role in the mechanism of this improvement.

Numerical MCRT Simulation and Inter-Symbol Interference Analysis of Laser Multipath Transmission in Airborne Air-to-Air Channels

To address the issues of signal waveform distortion and inter-symbol interference, both of which lead to performance degradation in airborne laser communication due to multipath transmission in airborne air-to-air channels, theoretical analysis and Monte Carlo ray tracing (MCRT) simulation methods were employed. Based on airborne application conditions, this research conducted numerical simulations of the Gaussian beam multipath transmission in an air-to-air channel, with a focus on analyzing the impact of meteorological conditions, communication distance, transmitter power, and initial pulse width on the pulse time spreading characteristics of received optical signals. In addition, an analysis of these parameters’ impact on the inter-symbol interference (ISI) and bit error rate (BER) was conducted. The research findings can serve as a reference for the design of anti-interference techniques in airborne laser communication links.

Impact of explosive power, agility, and focus on front kick speed in pencak silat

Introduction. In pencak silat, a front kick is considered the most effective technique for scoring points due to its precision and power. Aim. The purpose of this study was to determine the effect of leg muscle explosiveness, agility, and focus on the speed of the front kick. Material and methods. This type of research is causal associative research. The population in this study comprised pencak silat athletes. 30 pencak silat athletes voluntarily participated in the study. The research instruments used in this study were vertical jumps, shuttle runs, focus grids, and kick speed tests. The analytical technique used to test this research is path analysis with multiple linear regression tests. Results. The results showed that: (1) there was a significant direct effect between the explosive power on the speed of the front kick about 13.6%. (2) Agility has a significant direct effect on the speed of the front kick, accounting for about 21.1%. (3) Focus significantly affects the speed of the front kick, contributing approximately 71.6%., (4) There is an indirect effect of explosive leg muscles on the speed of the front kick, with a focus of approximately 21.4%. (5) There is also an indirect effect of agility on the speed of the front kick among pencak silat athletes, with a focus of about 20.6%. (6) Furthermore, there is a combined effect of explosive leg muscle power, agility, and focus on the speed of the front kick, accounting for approximately 71.2%. Conclusions. It was concluded that the front kick speed was affected by explosive power, agility, and focus by 71.2% while the rest were other variables that were not studied. The results of this study are expected to help coaches, athletes, and performance analysts in developing appropriate training programs by prioritizing explosive power, agility, and focus variables.

The effect of corneal power on the accuracy of 14 IOL power formulas

BackgroundThis study evaluates the impact of corneal power on the accuracy of 14 newer intraocular lens (IOL) calculation formulas in cataract surgery. The aim is to assess how these formulas perform across different corneal curvature ranges, thereby guiding more precise IOL selection.MethodsIn this retrospective case series, 336 eyes from 336 patients who underwent cataract surgery were studied. The cohort was divided into three groups according to preoperative corneal power. Key metrics analyzed included mean prediction error (PE), standard deviation of PE (SD), mean absolute prediction error (MAE), median absolute error (MedAE), and the percentage of eyes with PE within ± 0.25 D, 0.50 D, ± 0.75 D, ± 1.00 D and ± 2.00 D.ResultsIn the flat K group (Km < 43 D), VRF-G, Emmetropia Verifying Optical Version 2.0 (EVO2.0), Kane, and Hoffer QST demonstrated lower SDs (± 0.373D, ± 0.379D, ± 0.380D, ± 0.418D, respectively) compared to the VRF formula (all P < 0.05). EVO2.0 and K6 showed significantly different SDs compared to Barrett Universal II (BUII) (all P < 0.02). In the medium K group (43 D ≤ Km < 46 D), VRF-G, BUII, Karmona, K6, EVO2.0, Kane, and Pearl-DGS recorded lower MAEs (0.307D to 0.320D) than Olsen (OLCR) and Castrop (all P < 0.03), with RBF3.0 having the second lowest MAE (0.309D), significantly lower than VRF and Olsen (OLCR) (all P < 0.05). In the steep K group (Km ≥ 46D), RBF3.0, K6, and Kane achieved significantly lower MAEs (0.279D, 0.290D, 0.291D, respectively) than Castrop (all P < 0.001).ConclusionsThe study highlights the varying accuracy of newer IOL formulas based on corneal power. VRF-G, EVO2.0, Kane, K6, and Hoffer QST are highly accurate for flat corneas, while VRF-G, RBF3.0, BUII, Karmona, K6, EVO2.0, Kane, and Pearl-DGS are recommended for medium K corneas. In steep corneas, RBF3.0, K6, and Kane show superior performance.

Scenarios For Limiting The Veto of Permanent Members Of The United Nations Security Council

The UN's principal mission is to promote international stability and peace. To that end, the UN established the Security Council, its governing body with last say on the subject. The United States, Russia, China, and France—the five most militarily competent nations—are veto-wielding permanent members of the United Nations Security Council. The fundamental objective of this research is to determine the impact of veto power on the function of the United Nations Security Council in maintaining global peace and security. In that case, will we be attempting to have a lex expert on the right to veto? This work is classified as normative research. The results showed that the veto did not improve the Security Council's performance. The ability to veto decisions made by the Security Council on how to address critical international crises means that the council isn't always effective. Legal rules should be put in place to ensure that the right to veto as a controller is not misused and fulfils its original purpose. The power to reject a resolution in situations involving crimes against humanity or genocide is an important part of the veto system, as is the two-year limit on each non-permanent member's use of the veto, and the limitation of veto use to a single case if discussed consecutively in Security Council meetings&lt;em&gt;.&lt;/em&gt;

Impact of uncertain demand and channel power on dual channel supply chain decisions.

The paper aims to conduct an analysis of pricing strategies in a dual channel supply chain under external uncertainty, utilizing Interval numbers theory and Game theory as the theoretical basis. The focus is on maximizing the expected profits of manufacturers and retailers. Four models are considered: centralized decision-making, manufacturer's Stackelberg, retailer's Stackelberg strategy, and vertical Nash model, with the decision variable being the product price. By solving the game model, the paper compares the optimal decisions under the four models and conducts sensitivity analysis to reflect the influence of key parameters and analyze their relationships. The ultimate goal is to optimize profits under various circumstances by adjusting market potential and price parameters to determine the best price level. The findings suggest that decision-maker's risk indicators have a greater impact on decision results when market demand is less sensitive to price, and that the size of the market has a negative correlation with the impact of decision-maker's risk indicators on decision results.

Micro-particle injection experiments in ADITYA-U tokamak using an inductively driven pellet injector

A first-of-its-kind, inductively driven micro-particle (Pellet) accelerator and injector have been developed and operated successfully in ADITYA-U circular plasma operations, which may ably address the critical need for a suitable disruption control mechanism in ITER and future tokamak. The device combines the principles of electromagnetic induction, pulse power technology, impact, and fracture dynamics. It is designed to operate in a variety of environments, including atmospheric pressure and ultra-high vacuum. It can also accommodate a wide range of pellet quantities, sizes, and materials and can adjust the pellets’ velocities over a coarse and fine range. The device has a modular design such that the maximum velocity can be increased by increasing the number of modules. A cluster of lithium titanate/carbonate (Li2TiO3/Li2CO3) impurity particles with variable particle sizes, weighing ∼50–200 mg are injected with velocities of the order of ∼200 m s−1 during the current plateau in ADITYA-U tokamak. This leads to a complete collapse of the plasma current within ∼5–6 ms of triggering the injector. The current quench time is dependent on the amount of impurity injected as well as the compound, with Li2TiO3 injection causing a faster current quench than Li2CO3 injection, as more power is radiated in the case of Li2TiO3. The increase in radiation due to the macro-particle injection starts in the plasma core, while the soft x-ray emission indicates that the entire plasma core collapses at once.

Green finance, green technology innovation, and wind power development in China: Evidence from spatial quantile model

Renewable energy is an inevitable choice to address global climate change and energy shortages. Wind power production has already ranked second in renewable energy production and has enormous development prospects. However, wind power companies generally face funding shortages. How to effectively leverage the positive role of the financial sector in wind power development is a topic worthy of research. Using a novel spatial quantile model, this article investigates the impact of green finance on wind power development and its impact mechanism. The results shows that green finance has a driving effect on the provinces with low- and middle-wind power production, such as Shanghai, Tianjin, Zhejiang, and Shaanxi. However, there is a negative spatial correlation between wind power development in the 10th–25th, and 25th–50th group provinces, such as Qinghai, Sichuan, and Henan. In addition, the impact of wind power prices on the wind power in all provinces is negative, since wind power prices are still on the high side. Green technology innovation and foreign direct investment are two important intermediate mechanisms that green finance affects wind power development. Mechanism analysis displays that foreign direct investment contributes the most to the wind power in the 25th–50th and 50th–75th group provinces, such as Jiangsu, Liaoning, and Guangdong. However, green technology innovation has the smallest contribution to the provinces with high-wind power production, such as Shandong, Shanxi, and Inner Mongolia. Therefore, policy makers should consider the spatial effects and inter- provincial differences in wind power development.

Wind Power Development and Impact on the Local Economy: International Experience and Suggestions for Vietnam

In the context of the global focus on renewable energy policies, wind power development plays a crucial role in the sustainable energy transition and enhancing local economies. This paper aims to explore and analyze international experiences in wind power development, especially from leading countries like the U.S. and China, and propose lessons applicable to Vietnam. We focus on how wind power can positively impact local economies through job creation, investment attraction, and promoting sustainable economic development, while suggesting necessary policies and technical support to boost the wind power sector in Vietnam.

Green finance, management power, and environmental information disclosure in China—Theoretical mechanism and empirical evidence

AbstractGreen finance plays a crucial bridge as an intermediary between finance and the environment, facilitating resource allocation. The disclosure of environmental information (EID) is vital for promoting sustainable economic development. This study utilizes panel data covering the period from 2012 to 2019, focusing on Chinese companies listed in high‐polluting industries. The findings demonstrate that green finance policies have a significant positive impact on EID, while increased managerial power has a detrimental effect. However, green finance policies can mitigate the negative consequences arising from moral hazard and adverse selection resulting from managerial power. They enhance the quality of EID by restricting long‐term loan resources for polluting entities. The heterogeneity test reveals that the effectiveness of green finance policies in promoting EID varies across different regions of China. In non‐state‐owned companies, green finance policies are more effective in constraining managerial power. The moderating effect of green finance on managerial power is weakened by improvements in internal control. Green financing can offset the adverse impact of managerial power on EID when debt levels are high. Our research plays a crucial role in advancing micro‐academic studies in the field of green finance. By strengthening internal controls for corporate managers and promoting EID policies, we provide essential support and guidance to decision‐makers.

Optimization Method of Multi-Mode Model Predictive Control for Wind Farm Reactive Power

This paper presents a novel approach for optimizing wind farm control through the utilization of a combined model predictive control method. In contrast to conventional methods of controlling active and reactive power in wind farms, the suggested approach integrates a wind power prediction model driven by a neural network and a state-space model for wind turbines. This combination facilitates a more precise forecast of active power, thereby enabling the dynamic prediction of the range of reactive power output from the wind turbines. When combined with the equation of state in wind farm space, it is possible to accurately optimize the reactive power of a wind farm. Furthermore, the impact of active power on voltage fluctuations in the wind farm collector system was examined. The utilization of model predictive control enhances voltage regulation, optimizes system redundancy, and increases the reactive capacity. Sensitivity coefficients were calculated using analytical methods to enhance computational efficiency and to resolve issues related to convergence. In order to validate the proposed methodology and control scheme, a wind farm simulation model comprising 20 turbines was developed to assess the feasibility of the scheme.

The impact of management power on digital transformation

The impact of management power on digital transformation

A Note on Homelessness and the Moral Economy: How Thompson's Moral Economy Presents in Modern Day Homelessness

In this research note, I propose a theoretical framework that centers class struggle in order to better understand the micro‐level interactions that take place within homeless communities and the systems that structure them. I suggest that researchers can gain clearer insights into marginalized communities by taking a radical interactionist approach, as described by Athens. To start, I propose revisiting classic theories emphasizing the impact of power and dominance in the development of social systems as ways to understand interpersonal social interactions. Specifically, in this note I propose revisiting E.P. Thompson's original theory of the moral economy as an analytical basis and grounding point in the effort to explore homelessness and the communities it creates. Thompson's moral economy suggests that in communities facing oppression and class struggle, an economic and social system develops in which the central tenant is fairness and morality. By revisiting this theory, I suggest that researchers may better understand the ways in which homeless communities structure themselves, not only in relation to one another, but also in relation to the broader social world around them.

The Impact of CEO Power on the Relationship between Corporate Financial Distress and Earnings Management: Evidence from Egypt

The Impact of CEO Power on the Relationship between Corporate Financial Distress and Earnings Management: Evidence from Egypt

Labor unions and financial statement comparability

We demonstrate that managers of highly unionized firms make accounting decisions that result in diminished financial statement comparability, thereby enhancing their leverage in collective bargaining. We corroborate using a difference-in-differences approach which leverages the introduction of right-to-work laws as an exogenous shock that weakens labor union bargaining power. We also find that the impact of union power on financial statement comparability is more pronounced for firms having lower accounting complexity, financial flexibility, and employee orientation, and for firms headquartered in states having stronger democratic party orientation.

The impact of media attention, board independence on CEO power, and ESG in state-owned enterprises

This paper explores the interrelationships among the three key factors influencing the environmental context. Analyzing data from listed Chinese companies between 2012 and 2021, the study results found that excessive power of the state-owned company's CEO can hinder sustainable corporate performance. Furthermore, the independence of the board of directors cannot moderate the negative impact of the CEO's excessive power on environmental, social, and governance (ESG) performance due to “regulatory paralysis,” resulting in a lack of board effectiveness. The results of the constructed regression models indicate that Chinese state enterprises’ governance can be improved by attracting media attention to promote ESG performance. In addition, female executives as a factor lead to heterogeneity in the role of CEO power on ESG.

Improved coordinated control strategy for VSC-MTDC system with DC voltage secondary regulation

Droop control is widely used in multi-terminal flexible DC (VSC-MTDC) transmission systems by virtue of the advantage of multi-station cooperative unbalanced power dissipation, however, the essence of the droop control strategy is to change the DC current to realize the unbalanced power dissipation, and the resulting DC voltage deviation will affect the normal operation of the system. Firstly, this paper theoretically analyses the working characteristics of the conventional droop control and proposes a control method to realize the quasi-differential-free regulation of DC voltage by translating the droop curve. Second, according to the power margin of the converter station, the feedforward compensation amount of each converter station is reasonably set to avoid the power impact on the converter station. Finally, for the problem that the actual value of DC voltage still deviates from the rated value, a control strategy containing secondary regulation of DC voltage is proposed to further restore the DC voltage to the initial value on the basis of ensuring the effect of power regulation, which improves the stability of the operation of the VSC-MTDC system. The final simulation results verify the effectiveness of the proposed method.

A powerful tip: Power's impact on tipping behavior

AbstractThe practice of tipping is omnipresent in the tourism and hospitality sector. Although, consumer's tipping behavior has been studied from myriad perspectives, it is surprising that extant research has not yet explored how consumers' in different power states can be nudged to tip more. With the help of five studies in the lab and field, the results demonstrate that a low‐power state is conducive for generating a higher tip if consumers' focus is on others due to enhanced empathy. Furthermore, as per the compensatory consumption model, powerless consumers desire power, so they are more likely to tip higher than powerful people when tipping is associated with status. Lastly, powerful consumers' propensity to tip higher is initiated when the expectations that others hold from them are made salient. Implementing these findings can maximize business' tipping revenue from both the powerful and the powerless consumers.

Research on tool wear and surface quality in laser-assisted ultrasonic elliptical vibration cutting of cemented carbide

The Laser-ultrasonic elliptical vibration cutting (LA-UEVC) method was introduced for machining challenging cemented carbide. The machining parameters were estimated through numerical simulation, and the cutting forces, the tool wear and the workpiece surface quality were analyzed and investigated. Compared to precision cutting, during LA-UEVC of cemented carbide, the main cutting force and the cutting radial thrust force were reduced by 44.3% and 31.2%, respectively. Moreover, the tool wear decreased, which led to an increase in tool life by 118.8%, and a maximum reduction of 89.7% of Workpiece surface roughness was received. The impact of laser power and cutting parameters on surface roughness was analyzed through orthogonal experiments, and a surface roughness prediction model was established using a quadratic regression model.