Balance System Research Articles

An analysis of a 2 × 2 Keyfitz–Kranzer type balance system with varying generalized Chaplygin gas

An analysis of a 2 <b>×</b> 2 Keyfitz–Kranzer type balance system with varying generalized Chaplygin gas

A new system for underwater vehicle balancing control based on weightless neural network and fuzzy logic methods

&lt;p&gt;The utilization of humans to be in the water for short time, resulting in limited area underwater that can be explored, so the information obtained is very limited, plus the influence of irregular water movements, changes in waves, and changes in water pressure, indirectly also constitutes obstacle to this problem. One of the best solutions is to develop underwater vessel that can travel either autonomously or by giving control of movement and navigation systems. New system for underwater vehicle balance control through weightless neural network (WNN) and fuzzy logic methods was proposed in this study. The aim was to simplify complicated data source on stability system using WNN algorithm and determine depth level of autonomous underwater vehicle (AUV) through fuzzy logic method. Moreover, speed control of underwater vehicle was determined using fuzzy rule-based design and inference. The tests were conducted by showing convergence performance of system in the form of AUV simulator. The results showed that proposed system could produce real-time motion balance performance, faster execution time, and good level of accuracy. This study was expected to produce real-time motion balance system with better performance, faster execution time, and good level of accuracy which could be subsequently used to design simple, cheap, and efficient hardware prototype.&lt;/p&gt;

A condition-based maintenance policy for a two-component balanced system with dependent degradation processes

Preventive maintenance of balanced systems has garnered increasing research attention due to its significance in production and servicing processes. This paper investigates the optimization problem of a condition-based maintenance policy for a two-component balanced system with dependent degradation processes. The system’s degradation follows a bivariate gamma process. Once the degradation level of one component exceeds a critical value, the system fails and triggers an immediate corrective replacement. Moreover, if the degradation difference between two components exceeds a threshold, the system is in an unbalanced state, which incurs a penalty cost. Periodic inspections are implemented to reveal the degradation of the system. At each inspection epoch, the decision-maker chooses an action among do-nothing, repair, and preventive replacement. Different from previous research, a repair action does not reduce the degradation levels of either component but increases the degradation level of the lower one to rebalance the system. The objective is to determine the optimal condition-based maintenance policy that minimizes the long-run average cost rate. The optimization problem is analyzed in a semi-Markov decision process framework. A policy-iteration dynamic programming algorithm is developed to derive the optimal policy. A numerical example is presented to illustrate the effectiveness of the proposed approach.

Development of strategic management accounting of innovation capital based on a balanced scorecard system

The essence of the balanced scorecard system as a means of providing information for the innovative management of the enterprise has been considered. The functions of a balanced scorecard system in the system of innovative management have been disclosed. The role of a balanced scorecard system in the formation of information support for the management of the enterpriseʼs innovative capital has been analyzed. The factors that determine the need for the development of a balanced scorecard system in the conditions of the knowledge economy have been analyzed. Four main options for the reorganization of the balanced scorecard system for the accounting support of the management of the innovative capital of the enterprise have been identified and analyzed: 1) inclusion of innovative indicators in the existing prospects of balanced scorecard system; 2) renaming the individual balanced scorecard system perspectives; 3) highlighting a new «innovative» perspective; 4) creation of an innovative scorecard system. The advantages and disadvantages of each of the proposed options for the development of a balanced scorecard system from the standpoint of building a system of accounting support for the management of innovative capital at Ukrainian enterprises have been grounded.

Whole-body vibration versus gravity force stimulation on postural stability in children with Down syndrome: A randomized controlled trial

Purpose. To compare how functional walking ability and postural stability are affected in children with DS by whole-body vibration and gravity force stimulation. Methods. This study enrolled sixty DS children from both sexes into three groups at random. A structured physical therapy plan was given to the control and both study groups. Whole-body vibration (WBV) and gravity force stimulation (GFS) were given to the study groups (I) and (II) respectively. Postural stability indices (overall, mediolateral, and anteroposterior) and functional walking capacity were assessed by the Biodex balance system (BBS) and six-minute walk test (6MWT) respectively. The intervention session was conducted thrice/week for 12 consecutive weeks. Results. All stability indices at stability levels 8 and 5 significantly decreased after-intervention compared to before-intervention, but the 6MWT significantly increased in all three groups. All stability indices at stability levels 8 and 5 showed a significant decrease after-intervention, and the 6MWT in all three groups significantly increased in favor of study groups (WBV) and (GFS). However, there were no significant differences in all stability indices at stability levels 8 and 5 and in 6MWT between study groups (WBV) and (GFS) after-intervention. Conclusion. Whole-body vibration and gravity force stimulation both had a similar effect on postural stability and functional walking capacity among children who have Down syndrome.

Hydrothermal Synthesis of a Valence State Constant High-Entropy Perovskite Sr(TiZrHfVNb)O3 with Improved Photoresponsiveness.

A vanadium ion valence state constant high-entropy perovskite system was synthesized using the hydrothermal method with a trivalent vanadium ion as the vanadium source. The B-site of the perovskite crystal lattice was loaded with five atoms in equal proportions. We tried to synthesize the Sr(TiZrHfVNb)O3 high-entropy system using different methods. However, the valence state of the vanadium ion could only be kept constant using the hydrothermal process in the valence balanced high-entropy composition system. There was significant vanadium element segregation and second phase in the Sr(TiZrHfVNb)O3 system prepared using the solid-state reaction process. Also, obvious vanadium ion valence state ascending from V3+ to V5+ appeared in this high-entropy system with an increase in calcination temperature. Inconspicuous vanadium element segregation appeared at 900 °C, the significant segregation phenomenon and second phase appeared at 1200 °C, and the particle size increased with the temperature. This meant that the high-entropy value could not only stabilize the crystal phase, but also stabilize the ionic valence state. Moreover, the constant trivalent vanadium ion valence state could provide coordinated performance with a wide optical response range and a low band gap for the high-entropy system. This suggests that the system might grow a potential ceramic material for optical applications.

Goat Milk Supplementation Modulates the Mitochondrial Metabolic Flexibility and Orexin-A Levels Influencing the Inflammatory Pattern in Rats.

Milk and its derivatives are included in a balanced diet of humans as excellent sources of proteins, vitamins, and essential minerals that are functional nutrients. Knowledge about the nutritional benefits or harms due to milk consumption has been expanding in recent years. We previously explored, in rodent models, the metabolic effects of isoenergetic intake of milk derived from cows, donkeys, or humans, while the impact of goat's milk intake has remained unexplored. The aim of this work was to investigate, in an animal model, the effects of dietary supplementation with goat's milk on energy homeostasis and inflammatory state, focusing on the modulation of mitochondrial functions in most metabolically active organs, such as skeletal muscle and the liver. In addition, we highlighted a link between nutrient intake, substrate metabolism, and the orexinergic system. Our results indicate that goat milk improves mitochondrial oxidative capacity and reduces inflammation and oxidative stress in both organs. Notably, goat milk lowers the circulating levels of Orexin-A, a neuropeptide that plays a crucial role in regulating peripheral energy balance and central nervous system mechanisms. These data provide the first evidence that the anti-inflammatory and antioxidant effects of goat milk are mediated by the modulation of mitochondrial functions and orexinergic signaling.

Achieving productivity and operator well-being: a dynamic task allocation strategy for collaborative assembly systems in Industry 5.0

Collaborative robots, or cobots, offer a unique combination of productivity and flexibility that has led to significant growth in adoption over the past decade. Moreover, recently, there has been a shift towards a human-centered design of the workspace, known as one of the drivers of Industry 5.0, which prioritizes the well-being of operators. To achieve this, various human factors such as ergonomics, mental workload, personal skills, and capabilities need to be considered in the workspace design, and their impact on system productivity must be evaluated. The integration of a human and a cobot in the same workplace can affect the performance of the human operator, as the perception of the cobot can impact their work. This highlights the importance of taking human factors into account, as a lack of consideration in these aspects has contributed to the failure of many implementations. To link the objectives of productivity, flexibility, and human factors consideration, a dynamic real-time multi-objective task allocation strategy for collaborative assembly systems is developed. This approach considers the different characteristics of the resources and optimizes for two objectives, makespan, and energy expenditure of the operator. By using this approach, it is possible to modify the behavior of the cobot by reallocating tasks between the two resources based on the operator’s current needs. In other words, if the operator appears too stressed due to time constraints or their energy rate level is too high, some of their assigned tasks can be transferred to the cobot. This helps to maintain a balanced system while reducing the operator’s stress.

Strategy for striking the omnichannel balance in Retail 4.0

PurposeThe rise of Industry 4.0 led to digitally-enabled evolutionary and radical changes in all branches of the retail industry, resulting in the emergence of the distinct term “Retail 4.0”. Within this paradigm, particular emphasis is placed on forming a balanced system of omnichannel sales and customer service, allowing reaching a synergistic effect in the face of constant changes, turbulence and uncertainty in the business environment. The main objective of this study is to offer and justify a practical strategy for optimal utilization of sales channels and customer service provision within the Retail 4.0 paradigm.Design/methodology/approachThe conceptual argument of the study is based on the review of the literature and illustrative case studiesFindingsThe decision-making model proposed in this study provides a roadmap for retailers. It underscores the need for a data-driven approach, where decisions are informed by real-time analytics and customer insights. This model also advocates for a flexible yet structured approach to managing various sales channels, ensuring that each channel complements and enhances the other.Originality/valueThe study offers and justifies an original five-stage process model for forming a balanced system of omnichannel sales and customer service.

Individual differences in perceived changes and impacts on well-being of working from home during the COVID-19 pandemic

This study examines how individual differences in employees' demographics, physical workspace, job satisfaction, workplace support, and pandemic-induced changes affected subjective well-being, productivity, and overall flourishing (Flourishing Index, FI) while working from home (WFH). A cohort of 602 employees in Bangkok, Thailand, was surveyed. Factor Analysis of Mixed Data (FAMD) revealed underlying interactions between variables that reflected differences in FI scores and work-related perceptions. In-person focus group interviews were conducted with 30 participants following their return to work to deepen understanding of aggregate survey responses. We found that the flourishing domains and short-term positive and negative affects are significantly influenced by satisfaction with the physical environment, demographics (e.g., age, marital status, and employment tier), and perceived changes in emotions, job demand, and resources. Individuals who enjoyed higher well-being ratings while WFH tended to be male, above 35 years old, in more senior employment positions, and married or living with a partner. Qualitative results confirmed how individual differences provided resilience and well-being under WFH while revealing more nuanced aspects of employer-employee support relevant to future personnel interventions. The variable groups also interact with each other, suggesting potential scenarios where individuals and organizations can implement more targeted interventions, such as physical environmental comfort, work-life balance, and social system support in future WFH situations to sustain employees’ well-being. It also shows that flourishing can be used as an indicator of worker well-being that reflects many nuanced life aspects, offering a new management tool for workplace transitions to WFH and hybrid models.

Trends analysis of Evapotranspiration and responses to soil moisture and wind speed over the Taklimakan Desert, China

The Tarim Basin is a typical hyper-arid area, 57% of which is occupied by the Taklimakan desert. Because evapotranspiration (ET) is a key factor in determining water demand, accurate estimation of ET is critical for efficient water management in arid regions. In this study, the spatiotemporal dynamics of ET across the Tarim Basin from 2001 to 2020 were simulated based on a revised Surface Energy Balance System (SEBS) algorithm, and the impacts of driving factors on ET trends in the Taklimakan desert were quantified. The findings indicated that the mean annual ET in the entire basin was slightly greater than that in the desert (302 mm vs. 295 mm), although the decreasing rate of annual ET across the entire basin was slower than that in the desert (−0.27 mm/year vs. −0.50 mm/year). Strong increasing trends were found in croplands, whereas decreasing trends, which accounted for 56.5% of the basin, were primarily concentrated in the central and southern parts of the desert. Correlation analysis revealed that wind speed (WS) and soil moisture (SM) were the dominant factors, with a negative contribution of more than 35% and a positive contribution of more than 45%, respectively, to ET trends. Compared with the ERA5-Land and complementary relationship ET using the extended triple collocation method, SEBS ET provided detailed information and a lower random error standard deviation. Our findings contribute to the understanding of how dominant factors impact ET in hyper-arid regions and provide a reference for water management.

NATIONAL AND INTERNATIONAL VECTORS OF THE CONSTITUTIONAL REFORM IN THE REPUBLIC OF UZBEKISTAN

The article is devoted to the national and international vectors of constitutional reform in the Republic of Uzbekistan. The author considers the main amendments, additions and clarifications of articles and norms in the new version of the Constitution of the Republic of Uzbekistan, adopted for the purpose of further development of Uzbekistan as a sovereign, democratic, legal, social and secular state, based on the constitutional principle of ensuring a system of checks and balances between the branches of power, as well as on universally recognized principles and norms of international law. The article notes that based on the proposals of the citizens of the republic during the national discussion, the provisions on human and citizen’s rights and freedoms have tripled in the updated Constitution of the Republic of Uzbekistan. At the same time, the principle ‘For the sake of human dignity’ has been recognized as the main criterion in the Constitution, laws and the activities of State bodies.

Climate change and watershed hydrology: assessing variability in water balance components and groundwater flow patterns

ABSTRACT This study aimed to quantify the effect of climate change on water balance and groundwater flow systems over the Walga–Darge watersheds. In this paper, Water and Energy Transfer between Soil, Plants, and Atmosphere under quasi-Steady State and MODFLOW were used to assess the hydrological impact of climate change. The Mann–Kendall test and Sen's slope estimator were used to analyze climate change. The mean annual temperature shows increasing trends, whereas the mean annual precipitation indicates decreasing trends. The simulated annual mean surface runoff is projected to decrease by 17.18, 22.04, and 31.37 for 2040, 2060, and 2080, respectively, compared to the 1980s. The model also indicates a reduction in precipitation and increased temperature causes a relative change in recharge, ranging from a decrease of 2.65, 38.82, 50.91, 61.57, and 75.49 in the 2000s, 2010s, 2040s, 2060s, and 2080s, respectively. The MODFLOW outputs furthermore show that annual groundwater discharge to the stream has decreased by −26.46% from 1985 to 2020 and is expected to decrease by −34.02% by 2080 due to climate change. The results of the study indicate that the increasing trends in temperature and decreasing rainfall amounts pose a significant threat to the sustainable use of water resources.

Effect of Ticagrelor Versus Clopidogrel After Off-Pump Coronary Artery Bypass Grafting on Postoperative Atrial Fibrillation: A Cohort Study.

This study aimed to explore the effect of a P2Y12 inhibitor regimen on the occurrence of postoperative atrial fibrillation (POAF) after off-pump coronary artery bypass graft surgery in carriers with the cytochrome P450 family 2 subfamily C member19 loss-of-function allele. From May 2019 to November 2023, patients containing the cytochrome P450 family 2 subfamily C member19*2 or *3 allele undergoing elective first-time off-pump coronary artery bypass graft surgery including aspirin 100 mg/d and ticagrelor 180 mg/d (AT group; n=95) versus clopidogrel 75 mg/d (aspirin and clopidogrel group; n=95) were prospectively followed. The primary end point was the cumulative incidence of POAF in a week. The secondary end points were POAF burden, platelet aggregability, systemic immune-inflammation index and heart rate variability. The incidence of POAF was 21.1% in the AT group versus 41.1% in the aspirin and clopidogrel group (hazard ratio, 0.46 [95% CI, 0.27-0.76]; P=0.003). POAF burden, ADP-induced platelet aggregation and systemic immune-inflammation index was notably lower in the AT group than the aspirin and clopidogrel group. Heart rate variability data showed an increase in both high-frequency and SD of normal-to-normal RR intervals in the AT group with a decreased low-frequency/high-frequency ratio, suggesting that the sympathetic/parasympathetic activation was balanced. In patients carrying the cytochrome P450 family 2 subfamily C member19 loss-of-function allele, an AT regimen after off-pump coronary artery bypass grafting was associated with a lower incidence of POAF, paralleled by lower atrial fibrillation burden, ADP-induced platelet aggregation, lower systemic immune-inflammation index reaction, and a balanced automatic nerve system compared with an aspirin and clopidogrel regimen. Inhibiting the systemic immune-inflammation response and sustaining automatic nerve balance may underlie the therapeutic effect of POAF by a potent antiplatelet combination.

An Overview of Effectiveness of Balanced Scorecard Performance Management System in Tanzania

This study investigated the effectiveness of Balanced Scorecard (BSC) on provision of quality services in selected public organizations in Tanzania. The objective was to investigate the effective of balanced Scorecard on quality services in selected public organizations. The study reveals that BSC tool is more effective compared to previously used tools. Also, the employee’s perception on effectiveness of BSC tool on provision of quality services is positive. The findings of ordinal logistic regression analysis show that the effectiveness of BSC tool increases the likelihood of employees to provide quality services. Further, extended regression namely structural equation modelling shows that the relationship between effectiveness of BSC tool and provision of quality services is distorted by high level of autocratic management style while not distorted by rules, policy and regulations. The study is strongly recommending that there is a need for government and private organisations to adopt BSC as an effective tool for provision of quality services; There is a need of introducing transformational and collaborative management styles in order to account for quality of services; Organizations should continuously enforce regulations, rules and policies; The study should be used by decision makers to set standards of introducing viable and vibrant performance management tools which are result oriented and further studies on uncovered areas on BSC to be undertaken in future.

PPFCM-SMOTE: a novel balancing system for anomaly detection in IoT edge using probabilistic possibilistic fuzzy clustering and SMOTE

PPFCM-SMOTE: a novel balancing system for anomaly detection in IoT edge using probabilistic possibilistic fuzzy clustering and SMOTE

R&amp;D&amp;I support system for innovatively active enterprises

RDI is an important area of innovative growth of domestic economic entities. Isolation on the internal system of innovation management may not lead to the results planned within the framework of key strategic documents at the state level. Expanding its boundaries and involving external participants in solving problems of innovation will become the basis for creating a powerful integrated structure that will provide an innovation lift and scientific and technological renewal of enterprises. A scientifically based approach to the formation of a balanced system of collaborative innovation management is the key to the sustainable functioning of innovatively active enterprises. The purpose of this study is to formulate scientific and practical recommendations for creating an RDI system to support innovatively active enterprises to ensure the effectiveness of their functioning in the context of global economic challenges. In the process of achieving this goal, the following methods of scientific knowledge were used: structural analysis and synthesis, system analysis, generalization and description, modeling. Based on the results of the study, a structural and functional model of the RDI system for supporting innovatively active enterprises was developed, in contrast to existing ones, which creates a platform for balanced innovative development and increased competitiveness through the coherent organization of integrated innovation chains and effective innovation management in a single synergetic environment. Scientific conclusions and proposals are of high importance for the development of theoretical and methodological principles of the theory of innovation, management of innovation activities and solving problems of innovatively active enterprises of the Russian Federation. The study is based on modern works of leading domestic and foreign economists. The RDI system of support for innovatively active enterprises creates the basis for their sustainable functioning under conditions of sanctions restrictions and economic turmoil. The author has determined the vector of development of domestic enterprises to ensure the effective implementation of the mission and achievement of strategic goals.

Sex differences in cervical disc height and neck muscle activation during manipulation of external load from helmets.

Neck pain associated with helmet-wear is an occupational health problem often observed in helicopter pilots and aircrew. Whether aircrew helmet wearing is associated with physiological and biomechanical differences between sexes is currently unknown. This study investigated neuromuscular activation patterns during different helmet-wearing conditions. The helmet load was manipulated through a novel Helmet Balancing System (HBS) in healthy, non-pilot male and female participants (n=10 each, age 19-45years) in two phases. Phase A assessed the acute effects of helmet-wear on neck muscles activation during head movements. Phase B examined changes in muscle activity and cervical disc height after wearing a helmet for 45 min. In Phase A, muscle activity was similar between sexes in many movements, but it was higher in female participants when wearing a helmet than in males. The HBS reduced muscle activity in both sexes. In Phase B, female participants exhibited a greater level of muscular fatigue, and male participants' cervical disc height was significantly decreased [5.7 (1.4) vs. 4.4 (1.5)mm, P<0.001] after continuous wearing. Both sexes showed no significant change in muscle fatigue and disc height [male: 5.0 (1.3) vs. 5.2 (1.4)mm, P=0.604] after applying HBS. These findings demonstrate sex-specific physiological and biomechanical responses to wearing a helmet. They may indicate different postural and motor control strategies, associated with different neck pain aetiologies in male and female aircrew, the knowledge of which is important to reduce or prevent musculoskeletal injuries associated with helmet wearing.

Random phase plate designed by the genetic algorithm for decoherence in energy homogenization units of a photolithography illumination system

The microlens array (MLA) is used in the flexible pupil shaping module of lithography illumination system for energy balance. However, the coherence of the light source can lead to interference patterns. Most of the decoherence methods are restricted for the pulse laser and the scanning exposure application. To solve this issue, a specific random phase plate (RPP) is designed to eliminate the interference patterns caused by the coherence of the light source. The model of partially coherent light propagation in the MLAs homogeneous system is established based on the mutual intensity theory, and the genetic algorithm is introduced to design a high-performance RPP. The corresponding measurement device is constructed, and the intensity of the image plane light field is measured. Experiment results indicate that the intensity integral non-uniformity is 32.14% in the x-direction and 66.04% in the y-direction without the RPP, and the intensity integral non-uniformity is 22.95% in the x-direction and 19.18% in the y-direction with the RPP, which verifies the feasibility of the proposed method.

Optimizing Nutrient Management for Pearl Millet: Insights from a Long-term Field Experiment

The study investigates the impact of integrated nutrient management strategies on the yield and nutrient uptake of pearl millet (Pennisetum glaucum), a vital crop in arid and semi-arid regions. Pearl millet is a significant source of dietary energy and essential nutrients for rural populations in India. However, its productivity remains low compared to other millet-producing countries. This research aims to enhance pearl millet yield through a combination of organic manures, biofertilizers, and chemical fertilizers, addressing the need for sustainable agricultural practices. The experiment was conducted at the Research Farm of Rajmata Vijayaraje Scindia Krishi Vishwavidyalaya during the kharif seasons of 2022 and 2023. Twelve treatment combinations were tested, including 100% NPK along with farmyard manure (FYM) and seed treatments with biofertilizers. Results indicated that the treatment combining 100% NPK with FYM at 10 t/ha/year and biofertilizers significantly improved biological yield, nutrient uptake, and soil organic carbon content. Specifically, the highest biological yield recorded was 8026 kg/ha, with notable increases in total nitrogen, phosphorus, and potassium uptake. This study underscores the importance of integrated nutrient management in enhancing pearl millet productivity while maintaining soil health. By adopting these practices, farmers can improve crop yields and contribute to food security in regions reliant on pearl millet. The findings provide a framework for future research and practical applications in sustainable agriculture, emphasizing the need for balanced nutrient supply systems to optimize crop performance and soil fertility.