Performance Index Research Articles

Standardized ileal amino acid digestibility and performance indices in pullets and laying hens fed expeller-pressed Canadian prairie soybean meal

Soybean meals (SBM) from different locations differ in their protein content, subsequently influencing their amino acid (AA) profile. In this study, standardized ileal digestibility (SID) of AA and growth or production performance were evaluated in pullets and hens fed SBM derived from soybean grown in Western Canada, primarily Manitoba (MB) labelled as A-, B- and C-SBM compared with that from Eastern Canada (Ontario, ON-SBM) and contained 38.3 ± 0.44, 38.6 ± 0.61, 39.4 ± 0.49, or 44.0 ± 0.87% CP, respectively. A N-free diet was used to determine basal ileal endogenous losses of AA. The study included the grower, developer, and layer phases (9-12, 13-16, and 44/59-64-wk old birds, respectively). Although a lower (P = 0.029) SID for cysteine was noted in the grower phase for the C-SBM compared with other SBM, the developer phase had higher (P < 0.05) SID for methionine, phenylalanine, cysteine (more by 4.4, 2.4 and 7.2% units, respectively) on average for SBM samples from MB compared with the ON-SBM. Regardless the source of the SBM, no difference in SID of AA was noted in the layer phase. Overall, in all phases the SID values of most AA in the SBM from MB were comparable with the ON-SBM, which may be linked to higher values of these AA per unit of protein content in the former source. In addition, the growth performance including feed intake, BW gain and feed conversion ratio in pullets, and egg production/quality in layers were similar between treatments. These findings show that the MB-SBM have a comparable feeding value with the ON-SBM, hence represent a suitable alternative protein source for poultry.

Control of ecological networks: Abundance control or ecological regulation?

Complex ecosystems often exhibit a tipping point around which a small perturbation can lead to the loss of the basic functionality of ecosystems. It is challenging to develop a control strategy to bring ecosystems to the desired stable states. Typically, two methods are employed to restore the functionality of ecosystems: abundance control and ecological regulation. Abundance control involves directly managing species abundance through methods such as trapping, shooting, or poisoning. On the other hand, ecological regulation is a strategy for ecosystems to self-regulate through environment improvement. To enhance the effectiveness of ecosystem recovery, we propose adaptive regulation by combining the two control strategies from mathematical and network science perspectives. Criteria for controlling ecosystems to reach equilibrium with or without noise perturbation are established. The time and energy costs of restoring an ecosystem to equilibrium often determine the choice of control strategy, thus, we estimate the control costs. Furthermore, we observe that the regulation parameter in adaptive regulation affects both time and energy costs, with a trade-off existing between them. By optimizing the regulation parameter based on a performance index with fixed weights for time and energy costs, we can minimize the total cost. Moreover, we discuss the impact of the complexity of ecological networks on control costs, where the more complex the networks, the higher the costs. We provide corresponding theoretical analyses for random networks, predator-prey networks, and mixture networks.

Soft x-ray high diffraction efficiency and spectral flux laminar-type W/B4C multilayer diffraction grating for 300-1000 eV.

Multilayer diffraction gratings are designed to improve the detection limit and sensitivity of soft x-ray flat-field spectrographs in the region of 300-1000eV, placing emphasis on Fe-L (705eV), Cu-L (930eV), and Zn-L (1012eV) emissions. For this purpose, spectral flux was used as the performance index, which is proportional to the amount of optical flux incident into a detector and correlated with detection sensitivity. A super-mirror-type W/B4C multilayer coating [Koike et al., Rev.Sci. Instrum. 94, 045109 (2023)] was employed to improve diffraction efficiency in a wide energy region. The unique feature of the multilayer structure is that the average refractive index and the period length of W/B4C layer pairs are increased from the bottom to top layers. In addition, the incidence angle was reduced to 86.03° from 88.65° and the nominal groove density was increased to 3200 lines/mm from 2400 lines/mm of our previous design, to improve spectral flux while maintaining dispersion and spectral resolution. A holographic varied-line-spacing spherical grating and a soft x-ray flat-field spectrograph were designed, using the aspherical-wavefront-recording method, assuming the nominal grating constant and incident angle described above. The numerical simulation results showed that the spectrograph employing the newly designed grating with the W/B4C multilayer indicated 3.2-8.2 times higher spectral flux compared with those using the previously designed grating while keeping the same spectral resolution.

Optimizing a dew point evaporative cooler in data center applications

Abstract The escalating energy consumption of data centers has led to a pressing need for energy-efficient cooling solutions. This paper presents a countercurrent dew point evaporative cooler (DPEC) for data center refrigeration. We developed and experimentally validated a numerical model for DPEC, then formulated regression models using the response surface method. These models link eight key design factors, including geometrical and operational factors, to three performance indices: cooling capacity per unit volume, coefficient of performance, and outlet primary air temperature. We assessed the extent of factor influence on these indices. By using these regression models as objective functions, we used the genetic algorithm for design optimization under two climatic conditions, resulting in various optimal parameter combinations. Our findings highlight the strong predictive accuracy of these models. In comparison to the original design, the optimal design achieved an improvement of 104.8%, an increase of 23.9%, and a reduction of 13.8% in the three indices.

Resilient pursuit evasion guidance with feedback game strategy

This paper proposed a resilient guidance strategy for planar pursuit evasion, in which the homing guidance problem is formulated as a Stackelberg game. As is known, the most salient challenge for pursuit evasion guidance is how to ensure an interception despite both players (i.e., missile and target) actively optimize their own interest with preferably incomplete information. Toward this, we introduce a game-theoretic guidance strategy that effectively integrates incentive feedback strategy into pursuit evasion game. In particular, the proposed resilient guidance law takes the form of Stackelberg game conjecture with missile/interceptor as the designated leader, and rigorously proves that leader's interest can be best served with a properly designed feedback gain, and an interception can be made possible in spite of incomplete knowledge on target's intentions (i.e., performance index). Simulation results verify the performance of the proposed strategy.

Effects of human inequality and urbanization on ecological well-being performance: A System-GMM analysis

Enhancing the efficiency with which ecological consumption is transformed into human well-being is a necessary condition for achieving sustainable development. However, the current literature lacks systematic methods and applications for scientifically assessing Ecological Well-being Performance (EWP). How to value and index EWP is crucial to improve EWP. This study combines the Human Development Index (HDI), Life Satisfaction (LS), and Ecological Footprint (EF) to construct a new Index of Ecological Well-being Performance (IEWP). Meanwhile, human inequality and urbanization are two common and profound socio-economic phenomena with potential impacts on EWP. Therefore, this study uses panel data for 129 countries from 2010 to 2021 and applies the System-GMM approach to explore the impact of human inequality, urbanization, and the interaction between these two factors on EWP. Our results show that EWP has a cumulative effect in the long run. Human inequality has a negative effect on EWP, while the effect of urbanization is positive. Compared to developed countries, the negative impact of human inequality and the positive impact of urbanization are more pronounced in emerging and developing countries. This paper further reveals that the interaction term inhibits EWP, which indicates that urbanization exacerbates the negative effect of human inequality and that human inequality weakens the positive effect of urbanization. This paper contributes to understanding how human inequality and urbanization affect sustainable development from the perspective of EWP.

Testing and Evaluation of Interlayer Shear Performance of Conductive Rubber Active Deicing Composite Bridge Deck Pavement Structure

Abstract To achieve real-time, sustainable, efficient, and environmentally friendly active deicing of bridge decks, a new active electric heating deicing technology based on conductive rubber as a heat source is proposed in this study. The conductive rubber was laid between asphalt layer and cement layer as the functional deicing layer, and the conductive rubber active deicing composite bridge deck pavement structure was established. The interlayer treatment method of conductive rubber active deicing composite structure was proposed. Styrene butadiene styrene–modified asphalt, PB-II type polymer-modified asphalt waterproof coating, and AMP-100 second-order reactive waterproofing coating were selected as waterproofing bonding layer. The interlayer shear performance of conductive rubber composite structure was tested and evaluated by 45° inclined shear test. Taking shear strength as the evaluation index of interlayer shear performance, the durability of interlayer shear performance of conductive rubber composite bridge deck pavement in complex environment was studied. Taking the fatigue life as the evaluation index, the interlayer fatigue resistance of conductive rubber composite bridge deck and traditional bridge deck under different stress ratios were analyzed. The results showed that shear strength between the layers of the conductive rubber active snow-melting bridge deck pavement structure using PB-II type waterproof bonding layer material was the highest, which was 0.584 MPa, and the optimum dosage was 1.5 kg/m2. Under the complex environment, the interlayer shear performance of conductive rubber composite bridge deck pavement decreases, which could still be maintained at about 70 % and had certain durability. Under the same interlaminar shear stress, the interlaminar shear fatigue life of the conductive rubber active snow-melting bridge deck was reduced by about 34 % compared with the traditional bridge deck. The research results can provide a theoretical basis and data support for the structural design of conductive rubber active deicing bridge deck pavement and the selection of waterproof bonding layer materials.

Cordyline fruticosa leaf powder supplemented in the diet of weaned pigs: effect on growth performance, heamatological and serum biochemical indices

In Sumitra Research Institute, Gujarat, a total of 50 cross-bred male piglets (Yorkshire × Landrace) with an initial body weight of 9.77 ± 0.06 kg weaned at 28 days were randomly distributed 5 treatments of 10 replicates containing 1 animal each in 60 days’ trial. According to the Nutritional Research Council’s recommendation in 2012, a basal diet was adequate in all nutrients. Pigs in treatment 1 were fed a basal diet without C. fruticosa leaf powder while treatments 2, 3, 4, and 5 were fed the same diet supplemented with C. fruticosa leaf powder at 20 g, 40 g, 60 g, and 80 g respectively. Animals were given unrestricted access to fresh clean water and a completely randomized design was adopted. The experimental result showed that average daily weight gains and average daily feed intake which took the form of 0.29-0.46 kg and 0.68-0.77 kg were higher in the C. fruticosa leaf powder-supplemented group relative to the control (p &lt; 0.05). The treatments significantly influenced the best feed conversion ratio and mortality rate from 1.73-2.34 to 1.0-3.0% (p &lt; 0.05). Haemoglobin, red blood cell, pack cell volume, total platelet count, mean platelet volume, mean corpuscular volume, mean corpuscular haemoglobin, mean corpuscular haemoglobin concentration, white blood cell, lymphocytes, and monocytes count follow a similar trend as values were greater in treatment 3, 4 and 5, an intermediary in treatment 2 and lower in treatment 1 (p &lt; 0.05). The treatment significantly influenced total protein, glucose, cholesterol, Calcium, and Phosphorus values (p &lt; 0.05). In contrast, bilirubin, urea, creatinine, sodium, chloride, alanine transaminase, aspartate aminotransferase, and alkaline phosphatase values were similar among the treatments (p &gt; 0.05). In conclusion, Cordyline fruticosa leaf powder can be supplemented in the diet of weaned pigs without causing any negative effect on the growth and health status of weaned pigs.

Effects of antibacterial peptides from Brevibacillus texasporus on growth performance, meat quality and gut health of cultured largemouth bass (Micropterus salmoides)

The aim of this study was to investigate the effects of antibacterial peptides from Brevibacillus texasporus (BT) on the growth performance, meat quality and gut health of cultured largemouth bass (Micropterus salmoides). Largemouth bass (36.17 ± 1.52 g) were divided into 2 groups and each group was fed with diets supplemented with or without 200 ppm of BT peptides for 130 days. The results showed that BT peptides had no significant influences on growth performance and body indexes, but significantly enhanced total antioxidant capacity and lysozyme content in the serum. Moreover, digestive enzymes activities and intestinal villous height were also prominently increased. From meat quality aspect, no significant differences were found in nutritional components, amino acid composition, fatty acid composition and texture property, except the values of hardness, gumminess and γ-linolenic acid (C18:3n6) were remarkably increased after BT peptides intervention. Finally, the results of gut microbiota and short chain fatty acids revealed that BT peptides significantly decreased the relative abundances of harmful bacteria such as genus Acinetobacter and Pseudomonas, and increased the production of short chain fatty acids. In conclusion, this study confirmed that BT peptides could be used to improve the health of largemouth bass, which provided novel insights into the application of antimicrobial peptides in aquacultures.

New secondary decomposition ensemble support vector regression for monthly drought index forecasting

Drought prediction on a monthly timescale is conducive to the timely identification of drought characteristics and provides a reference for drought mitigation. Current research is generally based on drought indices on timescales of three months or more for drought prediction, whereas the presence of highly nonlinear and drastic changes in the characteristics of drought indices leads to suboptimal drought prediction for drought index sequences on monthly timescales. In this study, a secondary decomposition model based on extreme-point symmetric mode decomposition (ESMD), variational mode decomposition (VMD), and support vector regression (SVR) was investigated to predict a monthly-scale drought index. To evaluate the predictive ability of the model, it was applied to 100 meteorological stations in the Pearl River Basin of China and compared and analyzed using four comparative models. The results showed that the model proposed in this study has better performance index values, and the prediction accuracies of all stations are improved compared with the four comparative models, with the most significant improvement in the Nash–Sutcliffe efficiency (NSE) index value, followed by the root mean square error (RMSE) and mean absolute error (MAE) index values, and the smallest improvement in the Wilmot consistency index (WIA) index value. The monthly-scale drought quadratic decomposition (ESMD-VMD) combined prediction model established in this study provides a novel method for drought prediction.

Reproduction Frequency, Sex Ratio, Growth Rates, Growth Performance indices, Condition Factors and Natural Mortality of Red Claw Crayfish

Reproduction Frequency, Sex Ratio, Growth Rates, Growth Performance indices, Condition Factors and Natural Mortality of Red Claw Crayfish

Optimizing Domestic Energy Management with a Wild Mice Colony-Inspired Algorithm: Enhancing Efficiency and Coordination in Smart Grids through Dynamic Distributed Energy Storage

Energy management (EM) is a critical strategy that spans the production and consumption of electricity, enhancing the stability of the electricity network. Smart grid technology significantly improves the electrical system's energy efficiency (EE), facilitating a transformation from a conventional power grid (PG) to a smart PG. This paper presents a key strategy for modeling the EE of the smart grid tailored to domestic demand, establishing smart coordination between domestic demand, energy production, and storage to reduce energy waste and costs. Our model integrates various energy sources, including renewable energy (RE), photovoltaic (PV) systems, wind power, and an energy storage system (ESS), interconnected with the PG. The model's structure ensures the coordinated flow of electricity in a residential house through an optimal control method (OCM). To develop a robust closed-loop control model, we employ Demand Response (DR) schemes within the Real-Time Electricity Pricing (RTEP) framework. We construct a dynamic model of the ESS to compute the System Performance Index (SPI), corresponding to energy costs. To enhance our model, we introduce a Dynamic Distributed Energy Storage Strategy (DDESS). Additionally, we introduce a novel optimization algorithm inspired by the behavioral patterns of wild mice, called the Wild Mice Colony (WMC). By analyzing the targeted and advantageous behaviors of wild mice in colonies, we propose that these behaviors can serve as a model for addressing complex, uncertain problems. This strategy is highly advantageous, capable of reducing total energy consumption (EC) from the main grid by over 100% of the load demand, optimizing the energy system, and ensuring synchronization. The performance of DDESS optimizes energy flow (EF) during the repayment plan, leading to minimized EC costs from the PG.

Quantifiable performance indices of warmblood jumping horses following colic surgery

Quantifiable performance indices of warmblood jumping horses following colic surgery

Modelling Technical Capacity of Industrial Machines Suppliers’ Selection Post Engineering and Economic Considerations

After considering engineering, economics, and supply due-date strategic decisions as the death knell for the selection of industrial machinery suppliers, the technical capability of the suppliers is one of the strategic decisions for consideration. To achieve this, necessary attributes of this strategic decision were identified in this study. These attributes include the quality of mechanics used, quality of staff used, level of research work done, level of quality control, and quality of companies patronizing the vendor. They were modelled and integrated (logic) for decision-making and then evaluated using a case study of procuring a Cocoa Liquor Press for extracting butter from the cocoa liquor using three vendors V1, V2, and V3 that passed the three strategic decision death knells. The overall performance indices of all three vendors as per their strength on the considered strategic decision (technical quality of the supplier) are 1.71, 1.66, and 1.63 which are 43.2%, 33.25%, and 32.6% respectively by percentage. While their weaknesses are 3.28, 3.34, and 3.37 which are 65.6%, 66.8%, and 67.2%. Vendor one (V1) having a performance index of 1.71 strength and 3.28 weakness (43.2% strength and 65.8% weakness) post engineering and economic consideration death-knell was found to be best suitable and was selected.

Modelling Technical Capacity of Industrial Machines Suppliers’ Selection Post Engineering and Economic Considerations

After considering engineering, economics, and supply due-date strategic decisions as the death knell for the selection of industrial machinery suppliers, the technical capability of the suppliers is one of the strategic decisions for consideration. To achieve this, necessary attributes of this strategic decision were identified in this study. These attributes include the quality of mechanics used, quality of staff used, level of research work done, level of quality control, and quality of companies patronizing the vendor. They were modelled and integrated (logic) for decision-making and then evaluated using a case study of procuring a Cocoa Liquor Press for extracting butter from the cocoa liquor using three vendors V1, V2, and V3 that passed the three strategic decision death knells. The overall performance indices of all three vendors as per their strength on the considered strategic decision (technical quality of the supplier) are 1.71, 1.66, and 1.63 which are 43.2%, 33.25%, and 32.6% respectively by percentage. While their weaknesses are 3.28, 3.34, and 3.37 which are 65.6%, 66.8%, and 67.2%. Vendor one (V1) having a performance index of 1.71 strength and 3.28 weakness (43.2% strength and 65.8% weakness) post engineering and economic consideration death-knell was found to be best suitable and was selected.

Performance Analysis of a Blockchain Process Modeling: Application of Distributed Ledger Technology in Trading, Clearing and Settlement Processes

This study aims to assess the extent to which blockchain technology (BCT) may constitute an alternative to the conventional stock trading system and emphasize the changing roles of the key parties. It is expected that BCT would enhance the performance of the process across the three stages (i.e. trading, clearing and settlement within the stock exchange environment). A thorough literature review is conducted to understand the BCT performance modeling techniques and approaches (empirical and analytical) and to examine the theoretical potentials and capabilities of BCT in the financial markets. The case study and simulation methods are used to evaluate the impact of BCT implementation in optimizing the process of trading, clearing and settlement in Abu Dhabi Securities Exchange (ADX) stock-trading activities. This paper presents a simulation analysis comparing a blockchain system with a traditional trading system in the context of stock market. The simulation procedures involve modeling processes over different durations and transaction volumes, using metrics such as process time and cycle time to evaluate performance. The performance index combines these metrics with weights to ensure accurate and consistent measurements. Simulation results reveal that the blockchain system significantly outperforms the current trading system, especially at higher transaction volumes, highlighting its scalability and efficiency. A threshold of 30,000 transactions is identified as the point where blockchain’s benefits become apparent. The analysis shows that blockchain significantly elevate the process efficiency. It reduces both cycle time and process time across varying transaction volumes, maintaining consistency and reliability. Additionally, a simple simulation using the Hyperledger Fabric platform demonstrates the practical implementation of a permissioned blockchain for clearing transactions, emphasizing the system's capability to manage high transaction volumes efficiently and securely. The use of blockchain network for handling seamless transactions using pre-defined smart contracts significantly improves the performance of the stock trading processes, specifically in the clearing phase. Interestingly, the BCT system drops the need for a “third party” (i.e. stock custodian) across the three stages. At the end of the paper, we propose a thereat mitigating model for stock trading with a new blockchain system.

Stochastic modeling and optimization of discrete-time cold standby repairable systems with unreliable repair facility and retrial mechanism

This study develops novel reliability models for discrete-time cold standby repairable systems with unreliable repair facility and retrial mechanism. In view of the situation that the state of some engineering systems cannot be continuously monitored, discrete distribution is used to describe the distribution of random variables involved in this paper. For the case that multiple events can occur simultaneously in the discrete-time system model, the priority order of multiple events occurring simultaneously is defined. Two different models are proposed based on two types of priority rules. The retrial mechanism of the components is considered in the case that the failure information of the system components cannot be successfully transmitted to the repair facility. The preventive maintenance (PM) and repair after the breakdown of the repair facility are considered. The key reliability indices are derived by using the iterative algorithm of the difference equation and the generative function method. The algorithms for calculating system state probability, key reliability indices and cost-benefit ratio (CBR) are designed. To demonstrate the impact of each parameter on the system reliability indices, numerical results are provided. The optimal repair rate configuration scheme is chosen using the Particle Swarm Optimization (PSO) algorithm to achieve the lowest possible CBR. The impact of the system model with or without PM on stationary availability and CBR is shown. In addition, the impact of the number of system components on a series of system performance indices is analyzed, and the optimal number of components of the system corresponding to the minimum value of CBR is obtained.

Time Performance Analysis Using Earned Value on the Construction of the Aranaway Kiram Bridge in Banjar Baru City

When implementing a project in the field, it is fairly uncommon for numerous projects to be delayed or even halted. This also has an impact on project cost escalation, resulting in project losses. Earned value analysis can help manage construction projectsefficiently and effectively. The results value analysis was done to estimate the extent to which the project was carried out according to the work plan. This assessment was performed on the Aranaway Kiram Bridge Construction project in Banjarbaru City. The project was aimed to determine weekly time performance and project completion time. The method employed was earned value analysis. According to the results of the analysis method (earned value analysis), the results from the 3rdto the 18thweek experienced delays, as evidenced by the performance of the Schedule Variance (SV) which was Negative (-) and the Schedule Performance Index (SPI) which was less than 1, but work accelerated in the 19th week of the Banjarbaru City Aranaway Kiram Bridge Construction Project, as evidenced by the SV performance which was Positive (+) and SPI greater than 1. The research results estimated the project's completion time as 253 days.

Construction and kinematic performance analysis of a suspension support for wind tunnel tests of spinning projectiles based on wire-driven parallel robot with kinematic redundancy

This paper presents a novel suspension support tailored for wind tunnel tests of spinning projectiles based on Wire-Driven Parallel Robot (WDPR), uniquely characterized by an SPM (Spinning Projectile Model)-centered mobile platform. First, an SPM-centered mobile platform, featuring two redundant and another unconstrained Degree of Freedom (DOF), and its suspension support mechanism are designed together, collectively constructing a WDPR endowed with kinematic redundancy. Afterward, the kinematics of the mechanism, boundary equations for the redundant DOFs, and relevant kinematic performance indices are then proposed and formulated. The results from both prototype experiments and numerical assessments are presented. The capability of the support mechanism to replicate the complex coupled motions of the SPM is verified by the experimental results, while the proposed kinematics and boundary equations are also validated. Furthermore, it is revealed by numerical assessments that the redundant DOFs of the mobile platform exert a minimal impact on the kinematic performance of the suspension support. Finally, the optimal global attitude performance is obtained when these DOFs are set to zero if they are restricted to constants. However, local attitude performance can be further improved by the variable values.

Distributed observer for fault estimation in Load-Frequency Control of multi-area power systems with communication delays

This paper proposes an innovative approach to designing a distributed observer for fault and state estimations in Load Frequency Control (LFC) of time-delayed multi-area interconnected power systems. To reach this goal, the paper first provides exhaustive information and analysis on the structure, disturbances, and faults in multi-area power systems. Then, an L1 observer with the capability to simultaneously estimate the system’s states, process/actuator faults, and sensor faults is proposed. This observer exhibits robustness against various types of disturbances as well as time delays present within both the system and the communication network. The sufficient conditions for designing the proposed observer, guaranteeing the system stability, and minimizing the L1 performance index, are expressed as optimization problems employing Linear Matrix Inequality (LMI) techniques. Additionally, the effectiveness and credibility of the proposed distributed observer in estimating all states and faults in all areas are validated through simulation results.