Balance Of Factors Research Articles

High-entropy oxides for energy-related electrocatalysis

Electrocatalysis plays a crucial role in the conversion and storage of renewable energy, offering significant potential for addressing the energy crisis and environmental concerns. High-entropy oxides (HEOs), a class of emerging functional materials, have gained increasing attention in electrocatalysis due to their stable crystal structure, exceptional geometric compatibility, unique electronic balance factors, and abundant active sites. In this comprehensive review, we present recent advancements in utilizing HEOs as catalysts for various energy-based electrocatalytic reactions. We begin with an overview of HEOs that includes definitions, fundamental properties, and theoretical investigations. Subsequently, we describe different synthetic methods for HEOs while highlighting two newly-developed techniques. Furthermore, we extensively discuss recent developments in HEO-based electrocatalysts with diverse crystal structures such as rock-salt-type, rutile-type, spinel-type, perovskite-type, and other specially-structured HEOs. Special emphasis is placed on designed strategies aimed at enhancing performance and exploring correlations between structure/ composition and electrocatalytic performance. Finally, we provide concluding remarks along with perspectives on future opportunities in this exciting field.

Environmental Issues And Environmental Law Enforcement In Indonesia In The Perspective Of Law Number 32 Of 2009

The rise of increasingly serious environmental cases, one of which is related to problems in the forestry sector, has prompted the birth of Law Number 32 of 2009 concerning Environmental Protection and Management (UU PPLH). In this research, the approach used is Juridical-Normative, with a dogmatic type of research, a descriptive research form of legal relations. This research is limited to descriptive-analytical research on criminal policies in environmental law enforcement. The source of all environmental problems is development carried out without paying attention to environmental balance factors which in turn will cause environmental damage and pollution. Legal action taken against perpetrators of environmental pollution and destruction consists of administrative aspects, civil aspects, and criminal aspects. Law enforcement itself needs to be supported by several factors, namely legal means, law enforcement officers, facilities and infrastructure, permits, the Amdal system, and public legal awareness of the environment

ЗОВНІШНЯ ПОЛІТИКА ДЖ. КЕННЕДІ: ОСОБИСТІСНИЙ ЧИННИК У СПІВПРАЦІ ПРЕЗИДЕНТА ТА ДЕРЖСЕКРЕТАРЯ Д. РАСКА

The proposed article is devoted to the figure of Secretary of State Dean Rusk during the presidency of John F. Kennedy in 1961–1963, with special attention to the interpersonal relationship between him and the president. The purpose of the work is to emphasize the importance of studying the interaction between the president and the secretary of state, which often plays a key role in the formulation and implementation of the foreign policy of the United States of America. The ability of the president and his secretary of state to listen to each other and communicate effectively can determine success or failure in implementing foreign policy initiatives and managing crisis situations. The research methodology is based on a critical analysis of scientific literature, as well as on the application of problem-chronological and systemic approaches. The basic principles of the article are the principle of historicism, objectivity and scientificity. Comparative, historical-systemic, historical-genetic methods are used for scientific understanding of the proposed problem. The scientific novelty of the article consists in drawing the attention of researchers to the figure of Dean Rusk, as well as in offering a different point of view on Dean Rusk’s place in the relationship with President J. Kennedy. Contrary to the prevailing view of Dean Rusk’s insecurity, mysteriousness, and modesty as the key to his failure as the president’s foreign policy advisor, we argue that these aspects became «victorious» in interaction with the president, acting as a certain «balancing factor» of J. Kennedy’s activism. Conclusions. The relationship between John F. Kennedy and Dean Rusk was complicated and occasionally strained. J. Kennedy and D. Rusk had different views on foreign policy issues. J. Kennedy often avoided the opinions of D. Rusk, did not always fully trust him, or did not consider his opinion reliable. Wanting to be the main initiator of the foreign policy of the United States of America. The crises that the US faced in the early 1960s were partly the result of the politics of interpersonal attitudes: both Dean Rusk and J. Kennedy were individuals who did not correspond to the essence of America in the late 1950s and early 1960s (in the context of a globalized understanding of foreign policy), however, it is unlikely that Kennedy would have been able to find a better candidate for the position of Secretary of State than Dean Rusk (in the context of interpersonal relations).

Analysis of the Dynamic Relationship between Transgressive Innovation Behavior and Team Network Structure in High-Tech Firms

Abstract The current market economy has stepped into the stage of high-quality development led by innovation. How to effectively improve the innovation capacity of enterprises has become a widespread concern in the academic community. The article first analyzes the formation factors and consequences of transgressive innovation behavior and then combs through the dynamic collaboration and system performance generation in multi-team network structures. Based on the network centrality of social network analysis, two models based on sub-team type and team structure balance are constructed by combining structural balance theory. Regression analysis was conducted for Model 1 to clarify the effects of transgressive innovation behavior on network centrality and subteam type, and social network analysis was used to investigate the influencing factors of team structure balance in Model 2. Network centrality increases by 0.121 percentage points when the subteam type variable increases by 1 percentage point. The regression coefficient of subteam type on network centrality decreases from 0.138 to 0.114 after adding the variable of team members’ transgressive innovation behavior to Model 1. When the number of subteams is 3 and 4, the team network structure can reach a strong balance state at this time, while more than 5 will cause the growth of negative team relationships because of the transgressive innovation behaviors of team members, which will affect the balance of the team network structure. Therefore, there is a dynamic relationship between the transgressive innovative behavior of high-tech enterprises and the team network structure, and it is necessary to set up a reasonable multi-team structure in order to effectively ensure that the performance of high-tech enterprises can be improved.

Influencing Factors Of Work Life Quality In The Health Sector

Purpose: This article exhumes the relationship between the Quality of Work Life and Work Life Balance and reveals the dimensions of Quality of Work Life and Work-Life Balance in the health sector. Theoretical framework: This article also extracts the actual meaning of the Quality of Work Life and Work Life Balance, clarifies the same, and finds the relationship between both in the current working condition after the literature review. Research Design: Analysed the relationship between the quality of work life and the work life balance of employees in the health sector. This article discloses the dimension of the Quality of Work Life that creates an impact on the Work-Life Balance. Findings: The study reveals that the quality of work-life and work-life balance are interrelated and has few influencing factors. Work environment and rewards and recognition are the most influential factors in the work-life balance of employees. Research implications: Based on the findings the study suggests that Human Resource Department should give due importance to the rewards based on effort and provide various welfare facilities like transportation to enhance proper working conditions. Originality: the Quality of the Work Life of employees is influencing the Work-Life Balance of employees. With the advent of the changing lifestyle of the employees, it is necessary to update the working condition and the welfare facilities for every employee in an organization to increase their level of satisfaction.

A comprehensive study on factors of work life balance and big five personality traits and their impact on perceived performance of employees

A comprehensive study on factors of work life balance and big five personality traits and their impact on perceived performance of employees

Parallel Operation for 11 kV Ring System with Normally Open Point at Distribution Networks in AADC

Currently, Al Ain Distribution Company (AADC) 11 kV distribution circuits are electrically split by Normal Open Points (NOP)s. NOPs can be closed for load restoration in case of planned or unplanned outages. Also, changing the NOP locations helps in load shifting to achieve network optimization between adjacently located 33/11 kV primary substations. This paper discusses a new operation mode in medium voltage distribution power network of AADC at Al Ain area in the United Arab Emirates by introducing closed loops of parallel 11 kV feeders from different busbars or substations. This operation mode is intended to end the continuous debate of optimal NOP locations in addition to expected reduction in the required time for load restoration in case of failures at distribution (11/0.4 kV) substations. A detailed case study is performed to explore the achieved benefits and enhancements on load balancing, voltage profile, and power factor in medium voltage networks. On the other hand, the impact on load flow, protection scheme, and loading violation are evaluated. Furthermore, the proposed model is in line with the regulations of the Department of Energy (DoE), regulatory body in Abu Dhabi Emirate, and should fully comply with Electricity Distribution Code (EDC) of Security of Supply Standards. Accordingly, while the current used operation mode is still valid, it is found that closed loops arrangement can be only allowed for rings from same 33/11 kV substations feeding from same source with considerable protection limitations. Moreover, it was concluded that closed loops from different 33/11 kV Substations will result in load flow problems.

Foreword to the Special Issue on "Seafarer's Mental Health and Well-Being".

This special collection encompasses 10 articles that delve into the pressing aspects of seafarers' well-being, mental health, and the workplace. The articles are categorized into 2 broad topics.The first topic, comprising 6 articles, scrutinizes the contributory factors to seafarers' psychological well-being on board, covering sleep problems, food provisions, sexual abstinence, work-life balance, and psychosocial and work environment factors associated with seafaring. Four of these papers also focus on job satisfaction, work effectiveness, and retention in relation to seafarers' psychological well-being. The second topic includes 4 articles on seafarers' mental health assessment and promotion. These articles examine measurement tools for mental health, well-being, and resilience, as well as formal training and technology, including mobile apps, in seafarers' health promotion and education. The insights gleaned from this special collection have the potential to significantly influence the practices of researchers, policymakers, and shipping companies. By shedding light on the need to enhance seafarers' employment characteristics and address the health, safety, and well-being aspects of their work and life, this research can guide these stakeholders to better support seafarers in their crucial role as "key workers."

Examining limitations and future directions in climate change simulation models

Climate change refers to significant alterations in long-term climate conditions. If greenhouse gas emissions continue to rise, there is a high probability of exceeding the 1.5°C and 2° thresholds of global warming throughout the 21st century. This situation poses a serious threat to the agriculture sector and can lead to a decline in agricultural production and a reduction in product quality. Additionally, intensive farming practices can decrease the resilience of agriculture. This study aims to examine the effects of climate change on the agriculture sector, explain the concept of modeling and the parameters that can be measured, provide guidance on how modeling studies on alfalfa, and similar crops can be improved by identifying their shortcomings. The modeling method is used in many different fields by creating abstract representations of real-world objects or events via a mathematical equation, writing algorithm, or simulation. Parameters used in alfalfa modeling include yield, growth, carbon, water, nitrogen balance, climate effects, and other factors. However, these models have shortcomings such as the need for more comprehensive data collection and testing, the requirement for more parameter adjustments, the inability to address various crops and different growth cycles, the lack of simulation of crown and root roles in growth, sensitivity in measuring soil and input factors, limited testing and research, inaccuracies in automatic classification, the absence of growth and yield simulation models, and the lack of deep learning techniques. Addressing these shortcomings is crucial for achieving more reliable and effective results in the agricultural sector. Strengthening models and addressing these deficiencies have the potential to lead to more robust and sustainable solutions in agriculture.

Work-Life Balance and Faculty Functions of Married Faculty Members of One State University in the Philippines: Basis in the Development of Wellness Program

Work-life balance is essential for every employee’s success and productivity. Thus, identifying the practices in the institution and current scenario can fill the gaps that instructors experiencing in the work-life. The study used a quantitative research design employing a descriptive survey that systematically describes a situation, problem, phenomenon, service, or program. The study was participated by 147 faculty members. Random sampling was used to choose the respondents. Based on the results of the research, both male and female faculty members at LSPU need to take care of their time and relationships with work-life balance factors in order to maintain wellness, emotional connections with family and friends, and spiritual growth while carrying out their roles as instructors, researchers, and extension specialists. Anxiety and fatigue brought on by their work-related exhaustion that they overlook the maintenance of their spiritual lives (such as praying, reflecting, and meditating). Therefore, to keep faculty members from becoming stressed out or overburdened with their everyday responsibilities, institutions need to support individuals in finding a balance between their personal and professional lives. However, work-life balance can be managed with the assistance and support of their organization and/or faculty. It is suggested that administrators continue promoting self-care practices to support physical health by addressing emotional well-being, giving the opportunity for resources related to mental health, such as workshops on stress management or counseling, and organizing networking opportunities, team-building exercises, and support systems to cultivate positive relationships between faculty and staff.

Identifying best fall-related balance factors and robotic-assisted gait training attributes in 105 post-stroke patients using clinical machine learning models.

Despite the promising effects of robot-assisted gait training (RAGT) on balance and gait in post-stroke rehabilitation, the optimal predictors of fall-related balance and effective RAGT attributes remain unclear in post-stroke patients at a high risk of fall. We aimed to determine the most accurate clinical machine learning (ML) algorithm for predicting fall-related balance factors and identifying RAGT attributes. We applied five ML algorithms- logistic regression, random forest, decision tree, support vector machine (SVM), and extreme gradient boosting (XGboost)- to a dataset of 105 post-stroke patients undergoing RAGT. The variables included the Berg Balance Scale score, walking speed, steps, hip and knee active torques, functional ambulation categories, Fugl- Meyer assessment (FMA), the Korean version of the Modified Barthel Index, and fall history. The random forest algorithm excelled (receiver operating characteristic area under the curve; AUC = 0.91) in predicting balance improvement, outperforming the SVM (AUC = 0.76) and XGboost (AUC = 0.71). Key determinants identified were knee active torque, age, step count, number of RAGT sessions, FMA, and hip torque. The random forest algorithm was the best prediction model for identifying fall-related balance and RAGT determinants, highlighting the importance of key factors for successful RAGT outcome performance in fall-related balance improvement.

The Visual Psychological Space of Chinese Traditional Landscape Painting Creators in the New Media Background

Abstract Based on the connection between visual psychology and landscape painting, the article investigates the spatiality characteristics of images and the visual balance factors affecting the creation of landscape paintings. By applying a vector median filter, this study successfully removes noise from color landscape painting images and uses vectors to represent these noise-reduced images. Lab color model was constructed and combined with cluster analysis technique to calculate the color difference between image pixel points. Binarization of the image is achieved by preprocessing the segmented image. The study estimated and analyzed landscape paintings’ aesthetic characteristics and quantitative values. The results show that among the 30 selected landscape paintings, the percentage of white space area is more than 0.4 is 36.67%, while the rate of less than 0.4 is 63.33%. Among the landscape painting creators who participated in the study, the mean of the total scores of the experienced ones on the four visual psycho-spatial abilities was 83.39, which was 14.217 points higher than that of the inexperienced group. This indicates that the method proposed in this paper is very effective in assessing the visual psychospatial abilities of landscape painting creators, and that the creators can improve their creative skills after long-term training.

Deep neural network with fuzzy algorithm to improve power and traffic-aware reliable reactive routing

<span>In wireless networks, link breaks, and restricted resources create fundamental challenges for maintaining network applications. Several wireless network routing techniques concentrate on power efficiency to expand the network lifetime, but the traffic and reliability parameters are not the primary concern. Though, these techniques are not capable of dealing with the wireless network. Hence, this paper proposes deep neural network (DNN) with a fuzzy algorithm to improve power and traffic-aware reliable reactive routing (PTAR) in wireless networks. The wireless network is formed by clustering by the node power and selects the cluster head (CH) based on a fuzzy algorithm. The wireless node power level, node buffer space, and node reliability to consider the input parameters of the fuzzy system. Then thefuzzy algorithm gives the output for CH round length. This selected CH improves the node reliability, power efficiency with minimized network congestion. Then we use a DNN algorithm to choose an optimal relay by applying an adaptive load balance factor in the network. DNN is a machine learning algorithm, and it provides high accuracy. From the simulation results, the PTAR approach improves the network performance, such as packet received ratio, delay, residual energy, and routing overhead.</span>

AI Algorithm Based Green Hydrogen Static Compensator for Harmonic Mitigation, Power Balancing, and Power Factor Correction in Nano-Grids

Nano-grids are emerging as a vital solution for sustainable energy distribution, particularly in integrating intermittent renewable energy sources. In this context, this research paper aims to address the challenges faced in Nano-grids through the innovative use of a Green Hydrogen Static Compensator (GHSC). The purpose of this study is to overcome issues related to harmonic pollution, power factor correction, and real power balancing within the Nano-grid system. The method employed involves a two-fold approach. Firstly, a modified instantaneous p-q algorithm is proposed to enhance the effectiveness of GHSC. Secondly, artificial intelligence (AI) algorithms, including deep neural networks, random forest, and XGBoost, are utilized to further refine the system's accuracy. These AI algorithms were trained using the modified p-q method, and the simulation of GHSC was performed using SimScape Toolbox in MATLAB-Simulink. The results of the study clearly demonstrate that the proposed GHSC approach, combined with the AI algorithms, outperforms traditional methods in terms of effectiveness in mitigating harmonic pollution and correcting power factors. However, it is noted that the current implementation lacks flexibility for real-time self-learning. In conclusion, the paper underscores the novelty and potential of the GHSC in conjunction with AI algorithms, while also pointing out areas for future research. Specifically, future efforts may focus on developing an automatic weight updating deep neural network that responds to real-time feedback of THD, power factor, and frequency, enhancing the system's adaptability and efficiency.

Fiscal Balance Factors of the Local Government: Panel Data Evidence from OECD Countries

Fiscal balance is perceived as a principal measure of fiscal sustainability in the local government. It also affects the budgetary response to a potential recession, determining a fiscal distress and a financial resilience. Thus, the economists conduct studies to identify factors influencing the fiscal balance at the local public level. Therefore, the aim of the paper is to examine fiscal, socio-economic, political, and institutional factors which affect the level of fiscal balance of the local government sector in Gross Domestic Product (GDP) on the basis of the OECD countries in the period 2007–2021. In the study both panel data models with fixed effects (FE) and random effects (RE), dynamic panel data models (GMM), as well as panel quantile regressions with fixed effects were estimated. As a result, the paper confirms that fiscal balance of the local government in GDP is affected by fiscal decentralisation on the expenditure side, an investment activity, a change in the debt ratio, an inflation, a change in the unemployment rate, the Human Development Index, the trade openness, the GDP growth, and local elections. What was also found was a statistically significant influence of the corruption in the case of the panel quantile regression with fixed effects. In addition, the Mann-Whitney U test, the Kruskal-Wallis test, and the Dunn test were applied to identify whether the level of fiscal balance of the local government sector in GDP had the same distribution in Central and Eastern European (CEE) countries and other OECD countries.

WORK-LIFE BALANCE ON EMPLOYEE PERFORMANCE WITH THE MEDIATING EFFECT OF JOB SATISFACTION IN THE PROVINCIAL COUNCIL IN THE WESTERN PROVINCE

In the contemporary and dynamic landscape of modern employees, the problem of work-life balance has emerged as a prominent and multifaceted challenge confronted by employees across the globe. The research endeavored to explore the nexus between work-life balance and employee performance, with a particular focus on the mediating role of job satisfaction, within the context of the provincial council employees in the western province of Sri Lanka. The construct of work-life balance, as investigated in this study, encompasses several key factors, namely personality, emotional intelligence, and job-related stress. The research centered on Management Service Officers within the provincial council of the western province, and it employed a convenience sampling method to select a sample size of 320 respondents. Data collection was facilitated through the administration of structured questionnaires. Job satisfaction was discovered to be a mediator in this study and statistical analyses such as Pearson Correlation, Regression, and Sobel test were used. There is a direct relationship that can be statistically significant between work-life balance factors and employee performance. Also, job satisfaction had mediation and a significant relationship with emotional intelligence and employee performance. However, personality on job satisfaction and job-related stress on job satisfaction were not statistically significant. Based on the research, it was found that there was an impact on work-life balance and job satisfaction as a mediator. Furthermore, the findings of this study would be used as a guideline for employees in the provincial council to identify their problems and the ways to resolve those problems referential material for their studies of future researchers.

Effects of a music-based exercise program on the postural balance and emotions of instrumentalists.

This study aimed to verify the effects of a music-based exercise program on postural balance and emotional factors among instrumentalists. We recruited 11 instrumentalists aged 25-45 years who were asked to perform a music-based exercise program for 60 min per session, three sessions weekly, for 8 weeks. The anterior balance and lateral alignment of the participants were determined using a body posture analyzer. To assess the emotional factors, the World Health Organization Quality of Life, stress response inventory, and Rosenberg self-esteem scale were used. This study did not reveal a statistically significant difference in anterior postural imbalance and lateral misalignment. In contrast, emotional factors, including quality of life, stress response, and the self-esteem subcategories, exhibited significant differences. The music-based exercise program in this study significantly improved the emotional factors. Nevertheless, a more structured and long-term program should be developed to ensure the improvement of postural imbalance among instrumentalists.

A Wi-Fi dynamic routing algorithm based on energy prediction for wildlife monitoring wireless network

The routing protocol of wildlife monitoring Wi-Fi (Wireless Fidelity) networks cannot balance node energy consumption, leading to early node death. Therefore, the research on energy balance in wildlife monitoring Wi-Fi networks is a hot topic. In order to balance the energy consumption of Wi-Fi networks and extend the lifespan of wireless networks, we designed the low energy dynamic routing protocol LEACH-EP (Low Energy Adaptive Clustering Hierarchy- Energy Prediction) based on energy prediction by analyzing the long-range dependent characteristics of the remaining energy time series (RETS) of wireless network nodes. This protocol uses the LSTM (Long Short-Term Memory) model to predict the remaining energy of network nodes, and then dynamically plans routes using future remaining energy. We conducted a networking experiment in the Anzihe Nature Reserve in Chengdu, China, and the Energy Balance Factor index of the wireless network significantly improved. The Mean Absolute Error value of network nodes is less than 60 mW, which is less than 10% of the average daily energy consumption of nodes. Half of the surviving network nodes have achieved an increase to 55.2%, and the network death time has been extended by 38.6%. The experimental results show that the energy prediction routing protocol LEACH-EP can significantly extend the node survival life and balance network energy consumption.

Pricing strategy of knowledge payment products considering copyright supervision in the blockchain technology era

PurposeThe purpose of this study is to investigate the pricing strategies for knowledge payment products, taking into account the quality level of pirated knowledge products, in the context of platform copyright supervision.Design/methodology/approachThis study abstracts the knowledge payment transaction process and aims to maximize producer's revenue by constructing a pricing model for knowledge payment products. It discusses pricing strategies for knowledge payment products under two scenarios: traditional supervision and blockchain supervision. The analysis explores the impact of pirated knowledge products quality level and blockchain technology on pricing strategies and consumer surplus, while providing threshold conditions for effective strategies.FindingsDeploying blockchain technology in platform operations can significantly reduce costs and increase efficiency. In both scenarios, knowledge producer needs to balance factors such as the quality of pirated knowledge products, the supervision level of platform, and consumer surplus to dynamically adjust pricing strategies in order to maximize his own revenue.Originality/valueThis study enriches the literature on the pricing models of knowledge payment products and has practical significance in guiding knowledge producer to develop effective pricing strategies under copyright supervision.

Association of impaired cognitive function with balance confidence, static balance, dynamic balance, functional mobility, and risk of falls in older adults with depression.

Increased depression severity has been linked to cognitive impairment (CI). Importantly, CI is a known risk factor for impaired balance and falls. Therefore, this study aims to explore the relationship between CI and neuromuscular functions and secondarily it aims to find out if CI is a potential predictor for neuromuscular functions deficits in depressed elderly. Eighty-four depressed elderly participated in the study. Assessment for CI symptoms were done using Mini Mental Status Examination (MMSE) in subjects having confirmed depression. Neuromuscular functions such as balance confidence, static and dynamic balance, functional mobility, and fall risk were subjectively assessed using Activities-specific Balance Confidence (ABC) Scale, Berg Balance Scale (BBS), Timed Up and Go (TUG) Test, and Performance Oriented Mobility Assessment (POMA), respectively. Pearson's analysis revealed that there was moderate positive linear-correlation between MMSE and BBS (R = 0.382, p = <0.001) and between MMSE and ABC (R = 0.229, p = 0.036*). Further, regression analysis (R 2) revealed that MMSE significantly predicted the neuromuscular functions using BBS [F(1, 82) = 14.013, p < 0.001, with an R 2 of 0.146] and ABC [F(1, 82) = 4.545, p= 0.036*, with an R 2 of 0.053]. Results of this study points to an impaired CI as a possible factor in development of neuromuscular function impairment in depressed elderly.