Journal articles on the topic 'Efficient influence function'
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1
Buhari, Rosnawati, and Ac Collop. "Pavement Primary Response Using Influence Function and Peak Influence Function." Applied Mechanics and Materials 256-259 (December 2012): 1871–81. http://dx.doi.org/10.4028/www.scientific.net/amm.256-259.1871.
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It was identified in previous research that errors in theoretical damage much associated with the influence function calculation. Thus, this paper present the efficient prediction of primary response due to dynamic vehicle loading using influence function and peak influence function approach. In order to provide the realistic loading condition, dynamic road response model with idealised loads representative by mathematical quarter-truck model with two degree of freedom was excited by a random road surface profile which equally spaced points along the simulated road with various different speeds. Consequently, the simplified computational approach (peak influence function method) was identified only a few points gave a small different compare with the influence function method for along the longitudinal distance. In order to identify the impact of both methods, further implementation was done to calculate fatigue damage (horizontal tensile strain at the bottom of a bound layer) or rutting damage (vertical compressive strain at the top of the subgrade layer) predicted by constant load moving at varies speed. It was found that the differences in response are particularly small and increased steadily as the increasing of the vehicle speed. It was conclude that the simplify calculation was able to predict stresses and strains sufficiently accurately and identified relatively small errors into the pavement damage prediction. Hence the simplification in particular much reduced the computation time sufficiently and minimized the computer resources significantly.
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Miao, Xiaoye, Yangyang Wu, Lu Chen, Yunjun Gao, Jun Wang, and Jianwei Yin. "Efficient and effective data imputation with influence functions." Proceedings of the VLDB Endowment 15, no. 3 (November 2021): 624–32. http://dx.doi.org/10.14778/3494124.3494143.
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Data imputation has been extensively explored to solve the missing data problem. The dramatically rising volume of missing data makes the training of imputation models computationally infeasible in real-life scenarios. In this paper, we propose an efficient and effective data imputation system with influence functions , named EDIT, which quickly trains a parametric imputation model with representative samples under imputation accuracy guarantees. EDIT mainly consists of two modules, i.e., an imputation influence evaluation (IIE) module and a representative sample selection (RSS) module. IIE leverages the influence functions to estimate the effect of (in)complete samples on the prediction result of parametric imputation models. RSS builds a minimum set of the high-effect samples to satisfy a user-specified imputation accuracy. Moreover, we introduce a weighted loss function that drives the parametric imputation model to pay more attention on the high-effect samples. Extensive experiments upon ten state-of-the-art imputation methods demonstrate that, EDIT adopts only about 5% samples to speed up the model training by 4x in average with more than 11% accuracy gain.
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Cao, Qi, Huawei Shen, Jinhua Gao, and Xueqi Cheng. "Learning diffusion model-free and efficient influence function for influence maximization from information cascades." Knowledge and Information Systems 63, no. 5 (March 19, 2021): 1173–96. http://dx.doi.org/10.1007/s10115-021-01556-6.
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Tristya, Hardini, Ktut Murniati, and Muhammad Irfan Affandi. "EFISIENSI TEKNIS USAHATANI BAWANG MERAH DI KECAMATAN KETAPANG KABUPATEN LAMPUNG SELATAN." Jurnal Ilmu-Ilmu Agribisnis 6, no. 3 (March 20, 2019): 222. http://dx.doi.org/10.23960/jiia.v6i3.222-228.
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This study aims to analyze technical efficiency of onion farming and the factors that influence the technical inefficiency of onion farming. This research is conducted purposely in Ketapang Sub-district. The respondents are 49 farmers collected by sensus method. He research data is taken in September to November 2016. The technical efficiency is measured by frontier production function and estimated by Maximum Likelihood Estimation (MLE) method with Frontier 4.1c computer program. The estimation of factor that influences the technical inefficiency is applied by linear regression model simultaneously obtained by using the frontier production function. The results showed that the average of technical efficiency of onion farming in Ketapang Sub-district was 0.93 which meant very efficient. Furthermore, the factors that significantly influenced the technical inefficiency of onion farm in Ketapang Sub-district were the farming experience and counseling frequency.Key words: frontier, onion farming, technical efficiency
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Saeidi, Ali, Olivier Deck, Marwan Al Heib, Thierry Verdel, and Alain Rouleau. "Adjusting the Influence Function Method for Subsidence Prediction." Key Engineering Materials 553 (June 2013): 59–66. http://dx.doi.org/10.4028/www.scientific.net/kem.553.59.
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Theextraction of ore and minerals by underground mining may induce groundsubsidence phenomena. These phenomena produce several types of ground movement likehorizontal and vertical displacements, ground curvature and horizontal groundstrain at the surface, and associated building damage in urban regions. Theinfluence function is a well-known and efficient method for the prediction ofthese movements, but its application is restricted to mining configurationswith the same influence angle around the mine. However, this angle may displaydifferent values when the mine is not horizontal or when other subsidenceevents already occurred near the considered mine.In this paper a methodology and analgorithm are developed, based on the traditional influence function method inorder to take into account different influence angles. This methodology isimplemented in the Mathematicasoftware and a case study is presented with data from the Lorraine iron minefield in France. Ground movements calculated with the developed methodologyshow a fair concordance with observed data.
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Saeed, Nouman, Kai Long, Jamshed Ahmed Ansari, Nasif Raza Jaffri, and Usama Abrar. "Improved Efficient Projection Density Function Based on Topology Optimization." Journal of Mathematics 2021 (October 8, 2021): 1–10. http://dx.doi.org/10.1155/2021/1077990.
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Topology optimization is a powerful tool having capability of generating new solution to engineering design problems, while these designs enhance manufacturability and reduce manufacturing costs in a computational setting. Mesh-independent convergence and other techniques have been widely used as topology optimization technique, but they produce gray transition regions which is not a favorable condition for any material. In this article, a modified topology optimization formulation using a new function has been proposed. The suggested scheme makes use of the Heaviside Projection Method (HPM) to continuum topology optimization. Such technique is helpful to obtain the minimum length scale influence on void and solid phases. Application of this proposed approach is implemented to obtain the minimum compliance for macrostructures. Numerical remarkable examples illustrate the noteworthy value of the proposed approach.
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Nguyen, Bich-Ngan T., Phuong N. H. Pham, Van-Vang Le, and Václav Snášel. "Efficient Streaming Algorithms for Maximizing Monotone DR-Submodular Function on the Integer Lattice." Mathematics 10, no. 20 (October 13, 2022): 3772. http://dx.doi.org/10.3390/math10203772.
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In recent years, the issue of maximizing submodular functions has attracted much interest from research communities. However, most submodular functions are specified in a set function. Meanwhile, recent advancements have been studied for maximizing a diminishing return submodular (DR-submodular) function on the integer lattice. Because plenty of publications show that the DR-submodular function has wide applications in optimization problems such as sensor placement impose problems, optimal budget allocation, social network, and especially machine learning. In this research, we propose two main streaming algorithms for the problem of maximizing a monotone DR-submodular function under cardinality constraints. Our two algorithms, which are called StrDRS1 and StrDRS2, have (1/2−ϵ), (1−1/e−ϵ) of approximation ratios and O(nϵlog(logBϵ)logk), O(nϵlogB), respectively. We conducted several experiments to investigate the performance of our algorithms based on the budget allocation problem over the bipartite influence model, an instance of the monotone submodular function maximization problem over the integer lattice. The experimental results indicate that our proposed algorithms not only provide solutions with a high value of the objective function, but also outperform the state-of-the-art algorithms in terms of both the number of queries and the running time.
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McMahon, B. R. "Control of cardiovascular function and its evolution in Crustacea." Journal of Experimental Biology 204, no. 5 (March 1, 2001): 923–32. http://dx.doi.org/10.1242/jeb.204.5.923.
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Work in the last decade has shown that crustacean open circulatory systems are highly efficient and controlled in a complex manner. Control occurs at several levels. Myocardial contraction is initiated in the cardiac ganglion but constantly modulated by the central nervous system, both directly via the cardioregulatory nerves and indirectly via the neurohormonal system. Heart rate and stroke volume can be controlled independently and measurements of both are needed to assess cardiac output accurately. Haemolymph outflow from many arthropod hearts is via a complex multiarterial distribution system, and the regional distribution of cardiac output is tightly controlled via cardioarterial valves at the base of each artery. These valves contain innervated muscle, and differential contraction serves to regulate the efflux of oxygenated haemolymph into a particular system. The major influence on both the evolution and control of arthropod open blood vascular systems is efficiency of oxygen uptake and delivery. This influence is illustrated by reference to a variety of crustacean and other arthropod types.
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Liu, Shuangbiao, and Qian Wang. "Studying Contact Stress Fields Caused by Surface Tractions With a Discrete Convolution and Fast Fourier Transform Algorithm." Journal of Tribology 124, no. 1 (June 19, 2001): 36–45. http://dx.doi.org/10.1115/1.1401017.
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The knowledge of contact stresses is critical to the design of a tribological element. It is necessary to keep improving contact models and develop efficient numerical methods for contact studies, particularly for the analysis involving coated bodies with rough surfaces. The fast Fourier Transform technique is likely to play an important role in contact analyses. It has been shown that the accuracy in an algorithm with the fast Fourier Transform is closely related to the convolution theorem employed. The algorithm of the discrete convolution and fast Fourier Transform, named the DC-FFT algorithm includes two routes of problem solving: DC-FFT/Influence coefficients/Green’s function for the cases with known Green’s functions and DC-FFT/Influence coefficient/conversion, if frequency response functions are known. This paper explores the method for the accurate conversion for influence coefficients from frequency response functions, further improves the DC-FFT algorithm, and applies this algorithm to analyze the contact stresses in an elastic body under pressure and shear tractions for high efficiency and accuracy. A set of general formulas of the frequency response function for the elastic field is derived and verified. Application examples are presented and discussed.
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Mulyadi, Maheran, Ketut Sukiyono, and Sriyoto Sriyoto. "ANALYSIS OF EFFICIENCY OF TECHNICAL AND FACTORS AFFECTING IN AROMATIC RICE FARMING IN THE SELUMA REGENCY." Journal of Agri Socio-Economics and Business 3, no. 1 (June 29, 2021): 1–12. http://dx.doi.org/10.31186/jaseb.3.1.1-12.
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The research objective is to determine the level of technical efficiency and the factors that influence the level of technical inefficiency, to analyze the relationship between input and output in the production process of aromatic rice farming in Seluma regency.Total number of respondents were 73 farmers who planted Aromatic rice. The Cobb Douglass of Frontier Stochastic approach was used, whereas for the factors that influence the inefficiency function as the initial answer of the above analysis results of the production function parameter were obtained through the Maximum Likelihood Estimation (MLE), with an LR value of 14.3620 which was higher than t table 99% (2.39). It had a significant effect on the 99% confidence level. It was seem that, there was no meaning that all aromatic rice farmers in the regency were 100% efficient. It could be seen that the MLE log-likelihood value of 29.9157 was higher than the OLS log-likelihood value of 22.7347. The lowest technical efficiency value was achieved by the farmers by 0.55 and the highest by 0.97. In the research area, the majority of the use of production factors was efficient, from 73.34% already in the value of efficiency between 0.90-1.00, meaning that 73.34% had approached the maximum efficiency. The result of the disseminated coefficient (R2) of 0.277 could mean a significant effect of 27.7 percent on the inefficiency variable while the remaining 72.3 percent is influenced by other factors not included in this research variable.
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Pika Shabirah, Harianto, and Ahmad Suryana. "The Influence of Female Labor on Rice Farming Efficiency." JURNAL AGRIBISAINS 8, no. 2 (October 10, 2022): 54–66. http://dx.doi.org/10.30997/jagi.v8i2.6088.
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Most of the women work in the informal sector, especially in the agricultural sector (61.80%), as well as the male workers (53.71%). This shows the high contibution and participation of women in agricultural activities.This study aimed to analyze the influence of female workers on the technical efficiency of lowland rice farming and to analyze the factors that influence it. This study used Translog Stochastic Frontier production function and was estimated using the Maximum Likelihood Estimation (MLE) method. The results showed that lowland rice farming, both with male-headed and female-headed household, was not technically efficient (0.617 and 0.598) with significantly different efficiency between male-headed household and female-headed household. The Ministry of Agriculture is advised to increase the intensity of agricultural extension to farmers related to rice farming techniques to further improve rice farming efficiency.Keywords: Female labor, Rice farming efficiency, Translog stochastic frontier
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Baddoo, Thelma Dede, Zhijia Li, Yiqing Guan, Kenneth Rodolphe Chabi Boni, and Isaac Kwesi Nooni. "Data-Driven Modeling and the Influence of Objective Function Selection on Model Performance in Limited Data Regions." International Journal of Environmental Research and Public Health 17, no. 11 (June 10, 2020): 4132. http://dx.doi.org/10.3390/ijerph17114132.
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The identification of unit hydrographs and component flows from rainfall, evapotranspiration and streamflow data (IHACRES) model has been proven to be an efficient yet basic model to simulate rainfall–runoff processes due to the difficulty in obtaining the comprehensive data required by physical models, especially in data-scarce, semi-arid regions. The success of a calibration process is tremendously dependent on the objective function chosen. However, objective functions have been applied largely in over daily and monthly scales and seldom over sub-daily scales. This study, therefore, implements the IHACRES model using ‘hydromad’ in R to simulate flood events with data limitations in Zhidan, a semi-arid catchment in China. We apply objective function constraints by time aggregating the commonly used Nash–Sutcliffe efficiency into daily and hourly scales to investigate the influence of objective function constraints on the model performance and the general capability of the IHACRES model to simulate flood events in the study watershed. The results of the study demonstrated the advantage of the finer time-scaled hourly objective function over its daily counterpart in simulating runoff for the selected flood events. The results also indicated that the IHACRES model performed extremely well in the Zhidan watershed, presenting the feasibility of the use of the IHACRES model to simulate flood events in data scarce, semi-arid regions.
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Song, Chao, and Tariq Alkhalifah. "Source-independent efficient wavefield inversion." Geophysical Journal International 222, no. 1 (May 5, 2020): 697–714. http://dx.doi.org/10.1093/gji/ggaa196.
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SUMMARY Full-waveform inversion (FWI) is an effective tool to retrieve a high-resolution subsurface velocity model. The source wavelet accuracy plays an important role in reaching that goal. So we often need to estimate the source function before or within the inversion process. Source estimation requires additional computational cost, and an inaccurate source estimation can hamper the convergence of FWI. We develop a source-independent waveform inversion utilizing a recently introduced wavefield reconstruction based method, which we refer to as efficient wavefield inversion (EWI). In EWI, we essentially reconstruct the wavefield by fitting it to the observed data as well as a wave equation based on iterative Born scattering. However, a wrong source wavelet will induce errors in the reconstructed wavefield, which may lead to a divergence of this optimization problem. We use a convolution-based source-independent misfit function to replace the conventional data fitting term in EWI to formulate a source-independent EWI (SIEWI) objective function. By convolving the observed data with a reference trace from the predicted data and convolving the predicted data with a reference trace from the observed data, the influence of the source wavelet on the optimization is mitigated. In SIEWI, this new formulation is able to mitigate the cycle-skipping issue and the source wavelet uncertainty simultaneously. We demonstrate those features on the Overthrust model and a modified Marmousi model. Application on a 2-D real data set also shows the effectiveness of the proposed method.
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Charhouni, Naima, Mohammed Sallaou, and Khalifa Mansouri. "Design Analysis of Critical Concepts Influence Wind Farm Production and Efficiency." International Journal of Engineering Research in Africa 40 (December 2018): 136–50. http://dx.doi.org/10.4028/www.scientific.net/jera.40.136.
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Wind farm deficiency caused by wake turbine interactions has received an important attention by scientific researchers in recent years. However the quality of power production is strongly depends on wind turbines location from others. In this regard, this paper proposes a comprehensive design analysis of crucial concepts that aid to plan for an efficient wind farm design. Indeed, the wake modeling problem is addressed in this analysis by comparing three models with available measured data gotten from literature. A configuration of wind turbines placement within the offshore wind farm as a function of separation distance is investigated in this study considering four wind farms layout. In addition to these elements, four rotor diameters size are evaluated as critical concept for wind turbine selection and production .The results obtained demonstrate that it is complicated to make a balance between three conflicted objectives related to the power production, efficiency and surface land area required for wind farm as a function of these crucial concepts.
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Nugroho, Alfian Yunianto, Slamet Hartono, and Masyhuri Masyhuri. "EFFICIENCY ALLOCATIVE NION FARMING IN TYE DISTRICT BANTUL." Agro Ekonomi 24, no. 2 (November 30, 2013): 138. http://dx.doi.org/10.22146/agroekonomi.17203.
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This aim of this study is to know the factors affecting onion production, the efficiency of the use of factors production on onion farming and to analyze the factors that affect onions farm incomes. The research was conducted in the district of Bantul with a sample of 30 farmers, factors affecting onion production was analyzed with multiplr linear regression analysis (method Cobb-Douglas) production function, allocative efficiency of the use of production factors by calculating an index value of allocative efficiency, the factors that influenced farm onion incomes anlayzedmultiple linear regression analysis (method Cobb-Douglas function of income). Production factors influence positive effect on onion productionin the district of Bantul are seedsm fertilizer NPK, KCl, soil and pesticides, input allocation of land, seed, fertilizer KCl.NPK fertilixer and fungicide antracol phonska have not be efficient so they need to be improved, the income of farmers affected by land area and the price of NPK phonska and insecticida.
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Fauziah, Fauziah, Hasnah Hasnah, and Rusda Khairati. "Technical Efficiency of Gambir Farming in Lima Puluh Kota Regency, West Sumatra, Indonesia." International Journal of Agricultural Sciences 4, no. 1 (March 8, 2021): 18. http://dx.doi.org/10.25077/ijasc.4.1.18-25.2020.
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This study analyzes the factors influencing gambier productivity, analyzes the technical efficiency of gambier farming, and analyzes the factors affecting gambier farming's technical efficiency. This research was conducted in Lima Puluh Kota Regency, a gambier production center in West Sumatra. Data were analyzed using the Cobb Douglas stochastic frontier production function. The results showed that the factors that significantly influenced gambier's productivity were labor, NPK fertilizer, plant age, number of trees, varieties, and technology. The number of labor, fertilizer factor, plant age, number of trees, and seedling varieties had a positive effect on gambier productivity. In contrast, NPK fertilizer and technology had a negative impact on gambier productivity. The technical efficiency level of gambier farming started from 0.25 to 0.99 with an average level of 0.76. It means that farmers are technically efficient but can still increase gambier productivity if they use production inputs appropriately and adequately. Factors that significantly influence technical efficiency are age, farming experience, and technology. Older farmers will have a higher level of technical efficiency compared to young age. The lower the farming experience, the more technically efficient the farmer is. Farmers who use the hydraulic jack system technology are more efficient than farmers who use the jack system technology
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Souza, Geraldo da Silva e., Eliane Gonçalves Gomes, Marília Castelo Magalhães, and Antonio Flávio Dias Ávila. "Economic efficiency of Embrapa's research centers and the influence of contextual variables." Pesquisa Operacional 27, no. 1 (April 2007): 15–26. http://dx.doi.org/10.1590/s0101-74382007000100002.
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In this paper we measure, with a DEA BCC model, the economic efficiency of Embrapa’s (Brazilian Agricultural Research Corporation) research centers. We model the DEA economic efficiency as a linear function of the contextual variables revenue generation capacity, partnership intensity, improvement of administrative processes, cost rationalization, size and type of research centers. The model used is of the type dynamic panel and assumes a structured correlation matrix intra times and unstructured inter times. In order to better discriminate the efficient units we used a heuristic efficiency score that aggregates the efficiencies in relation to the original and inverted DEA frontiers. Partnerships positive effect in the efficiency scores does not confirm the thoughts that Embrapa’s performance evaluation process discourages the integration and cooperation of its research centers. From the point of view of statistical significance, the improvement of administrative processes is the most important indicator among the contextual variables.
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Al-Refaie, Abbas, Mohammad D. AL Tahat, and Nour Bata. "CRM/e-CRM Effects on Banks Performance and Customer-Bank Relationship Quality." International Journal of Enterprise Information Systems 10, no. 2 (April 2014): 62–80. http://dx.doi.org/10.4018/ijeis.2014040104.
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This research aims at examining the effects of customer relationship management (CRM) and electronic CRM (e-CRM) on banks performance in Jordan using structural equation modelling. Two structural models, I, and II are developed. Fourteen reputable Jordanian banks are selected. Results of Model I show that: (1) internet service function and customer support have significant influence on relationship management (RM), (2) marketing support function has insignificant influence on RM, which indicates, and (3) RM has positive influence on business performance; learning and growth, customer satisfaction, internal process, and financial perspective. Results of Model II reveal that: (1) the e-CRM significantly influences customer based-service attributes, (2) the e-CRM directly related with relationship quality (RQ), and indirectly affects RQ through customer based-service attributes, (3) RQ significantly influences customer lifetime value (CLV). In conclusions, although Jordanian banks should direct more marketing support to enable customer communicate with banks using e-CRM in a fast, easy and efficient way.
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Nababan, Tongam Sihol, Elvis Fresly Purba, and Jongkers Tampubolon. "Influence of Input Value and Labor Expenditure on Output Value: A Case of Micro and Small Scale Industry in Indonesia." Integrated Journal of Business and Economics 4, no. 1 (January 16, 2020): 45. http://dx.doi.org/10.33019/ijbe.v4i1.246.
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Objectives of the study are: (1) to estimate the influence of input value and labor expenditure on the output of micro and small industries in Indonesia, (2) to analyze the form of translog production function that is compatible with micro and small industries in Indonesia. The analytical method used is descriptive method and analysis of translog production functions with scenarios: linear translog function, complete second-order or quadratic linear translog function, and linear translog function with interaction. Results showed that (1) the function of linear translog production with interaction was more suitable used to estimate the production output of micro and small industries in Indonesia, (2) input value and labor expenditure had a positive and significant effect on output values, (3) micro-industry enterprises more emphasis on the allocation of larger workforce, while small-scale industry emphasizes greater allocation of input value, (4) the allocation of input value and labor expenditure are more efficient in micro-industries compared to small-scale industries.
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Prabawa, Bagus Ade Tegar, and Ratna Komala Dewi. "EFISIENSI PENGGUNAAN FAKTOR-FAKTOR PRODUKSI DALAM PRODUKSI JAHE GAJAH." JURNAL MANAJEMEN AGRIBISNIS (Journal Of Agribusiness Management) 7, no. 1 (June 6, 2019): 1. http://dx.doi.org/10.24843/jma.2019.v07.i01.p1.
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ABSTRACT
The maximum production can be achieved if using optimum inputs. Production efficiency is influenced by the use of production inputs. The purpose of this research was to examin;: (1) the effect of production factors of jahe gajah; (2) inefficiency and efficiency factor of jahe gajah; (3) farmer's income in jahe gajah farming; and (4) constraints faced in Jahe Gajah production. The research method uses quantitative descriptive methods. The number of samples in this is researc were 66 people determined by the Simple Random Sampling technique. Production efficiency was analyzed using the Stochastic Frontier production function with the Frontier 4.1c program and farmer’s income was analyzed using R/C ratio. The results of the research indicate that; (1) land area variables affect production; (2) education, experience, counseling dummy variables influence production, while jahe gajah farm is stated to be technically efficient with an average value of 0.910, but not yet allocatively efficient with an average value of 0.668 and not economically efficient with average values of 0.599; (3) the jahe gajah farm has profit R/C ratio 1,7; (4) constraints faced by jahe gajah farmers there is no standards price, difficulty in obtaining market access, and rhizome rotten disease.
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Vanderford, Courtney, Yongli Sang, and Xin Dang. "Two symmetric and computationally efficient Gini correlations." Dependence Modeling 8, no. 1 (December 16, 2020): 373–95. http://dx.doi.org/10.1515/demo-2020-0020.
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AbstractStandard Gini correlation plays an important role in measuring the dependence between random variables with heavy-tailed distributions. It is based on the covariance between one variable and the rank of the other. Hence for each pair of random variables, there are two Gini correlations and they are not equal in general, which brings a substantial difficulty in interpretation. Recently, Sang et al (2016) proposed a symmetric Gini correlation based on the joint spatial rank function with a computation cost of O(n2) where n is the sample size. In this paper, we study two symmetric and computationally efficient Gini correlations with the computational complexity of O(n log n). The properties of the new symmetric Gini correlations are explored. The influence function approach is utilized to study the robustness and the asymptotic behavior of these correlations. The asymptotic relative efficiencies are considered to compare several popular correlations under symmetric distributions with different tail-heaviness as well as an asymmetric log-normal distribution. Simulation and real data application are conducted to demonstrate the desirable performance of the two new symmetric Gini correlations.
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Zhang, Xiaorong, Sanyang Liu, and Yudong Gong. "A New Strategy in Boosting Information Spread." Entropy 24, no. 4 (April 2, 2022): 502. http://dx.doi.org/10.3390/e24040502.
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Finding a seed set to propagate more information within a specific budget is defined as the influence maximization (IM) problem. The traditional IM model contains two cardinal aspects: (i) the influence propagation model and (ii) effective/efficient seed-seeking algorithms. However, most of models only consider one kind of node (i.e., influential nodes), ignoring the role of other nodes (e.g., boosting nodes) in the spreading process, which are irrational. Specifically, in the real-world propagation scenario, the boosting nodes always improve the spread of influence from the initial activated seeds, which is an efficient and cost-economic measure. In this paper, we consider the realistic budgeted influence maximization (RBIM) problem, which contains two kind of nodes to improve the diffusion of influence. Facing the newly modified objective function, we propose a novel B-degree discount algorithm to solve it. The novel B-degree discount algorithm which adopts the cost-economic boosting nodes to retweet the influence from the predecessor nodes can greatly reduce the cost, and performs better than other state-of-the-art algorithms in both effect and efficiency on RBIM problem solving.
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Ticli, Giulio, Ornella Cazzalini, Lucia A. Stivala, and Ennio Prosperi. "Revisiting the Function of p21CDKN1A in DNA Repair: The Influence of Protein Interactions and Stability." International Journal of Molecular Sciences 23, no. 13 (June 24, 2022): 7058. http://dx.doi.org/10.3390/ijms23137058.
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The p21CDKN1A protein is an important player in the maintenance of genome stability through its function as a cyclin-dependent kinase inhibitor, leading to cell-cycle arrest after genotoxic damage. In the DNA damage response, p21 interacts with specific proteins to integrate cell-cycle arrest with processes such as transcription, apoptosis, DNA repair, and cell motility. By associating with Proliferating Cell Nuclear Antigen (PCNA), the master of DNA replication, p21 is able to inhibit DNA synthesis. However, to avoid conflicts with this process, p21 protein levels are finely regulated by pathways of proteasomal degradation during the S phase, and in all the phases of the cell cycle, after DNA damage. Several lines of evidence have indicated that p21 is required for the efficient repair of different types of genotoxic lesions and, more recently, that p21 regulates DNA replication fork speed. Therefore, whether p21 is an inhibitor, or rather a regulator, of DNA replication and repair needs to be re-evaluated in light of these findings. In this review, we will discuss the lines of evidence describing how p21 is involved in DNA repair and will focus on the influence of protein interactions and p21 stability on the efficiency of DNA repair mechanisms.
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Palmer, G. E., M. N. Kelly, and J. E. Sturtevant. "The Candida albicans Vacuole Is Required for Differentiation and Efficient Macrophage Killing." Eukaryotic Cell 4, no. 10 (October 2005): 1677–86. http://dx.doi.org/10.1128/ec.4.10.1677-1686.2005.
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ABSTRACT Yeast-hypha differentiation is believed to be necessary for the normal progression of Candida albicans infections. The emergence and extension of a germ tube from a parental yeast cell are accompanied by dynamic changes in vacuole size and morphology. Although vacuolar function is required during this process, it is unclear if it is vacuolar expansion or some other vacuolar function that is important. We previously described a C. albicans vps11Δ mutant which lacked a recognizable vacuole compartment and with defects in multiple vacuolar functions. These include sensitivities to stress, reduced proteolytic activities, and severe defects in filamentation. Herein we utilize a partially functional VPS11 allele (vps11hr) to help define which vacuolar functions are required for differentiation and which influence interaction with macrophages. Mutant strains harboring this allele are not osmotically or temperature sensitive and have normal levels of secreted aspartyl protease and carboxypeptidase Y activity but have a fragmented vacuole morphology. Moreover, this mutant is defective in filamentation, suggesting that the major role the vacuole plays in yeast-hypha differentiation may relate directly to its morphology. The results of this study support the hypothesis that vacuole expansion is required during germ tube emergence. Both vps11 mutants were severely attenuated in their ability to kill a macrophage cell line. The viability of the vps11Δ mutant was significantly reduced during macrophage interaction compared to that in the control strains, while the vps11hr mutant was unaffected. This implies some vacuolar functions are required for Candida survival within the macrophage, while additional vacuolar functions are required to inflict injury on the macrophage.
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Aremo, Adeoye Moses, and Anthony Thompson Olaniran. "The Efficiency of Hard Wood Industry in Ondo State, Nigeria." Advanced Journal of Social Science 12, no. 1 (January 14, 2023): 1–15. http://dx.doi.org/10.21467/ajss.12.1.1-15.
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Wood furniture industry is an important manufacturing sector in Nigeria for its significant contributions to the growth of national economy and industrialization as well as livelihood of the furniture makers. Therefore, evaluating efficiency of hard wood industry is important to provide useful information about the business to the furniture makers and to assist the policy makers to design appropriate policies in supporting furniture production in Nigeria. The specific objectives of this research were to describe socio-economic characteristics of furniture makers, estimate efficiency of furniture makers, determine the profitability of furniture production, identify factors influencing efficiency of furniture making and examine the problems associated with furniture makings in the study area. The study adopted a multistage sampling procedure. Data were collected from seventy furniture makers through a well-structured questionnaire. Descriptive statistics, budgetary analysis, Cobb Douglas stochastic frontier production function, inefficiency model and relative importance index were used to analyze the data. The findings revealed that 75.7% of the respondents obtained some levels of formal education; 4.3% of the furniture makers were single; 71.4% had no access to credit facility; and 7.1% exported their products beyond the boundary of Nigeria. The estimated gross margin and net profit of #7,041,255.09 (US $16,959.52) and #4,261,542.89 (US $10,264.33) respectively revealed that furniture production is profitable. The efficiency results showed that 27% of furniture makers were most technically efficient; 5.7% of them were most allocative efficient; and 10% of them were most economically efficient. Stochastic frontier production function analysis showed that firm size, labour and fixed assets had a positively significant influence on furniture production. The only identified socio-economic characteristics of furniture makers that had significant influence on efficiency of furniture production were educational level, operating experience and reinforcement training in the study area. The two critical constraints facing furniture making in the ranking scale were fluctuation of wood price and inadequacy of funds.
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Köhnen, Eike, Marko Jošt, Anna Belen Morales-Vilches, Philipp Tockhorn, Amran Al-Ashouri, Bart Macco, Lukas Kegelmann, et al. "Highly efficient monolithic perovskite silicon tandem solar cells: analyzing the influence of current mismatch on device performance." Sustainable Energy & Fuels 3, no. 8 (2019): 1995–2005. http://dx.doi.org/10.1039/c9se00120d.
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We present a highly efficient monolithic perovskite/silicon tandem solar cell and analyze the tandem performance as a function of photocurrent mismatch with important implications for future device and energy yield optimizations.
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Karunamuni, Rohana J., Linglong Kong, and Wei Tu. "Efficient robust doubly adaptive regularized regression with applications." Statistical Methods in Medical Research 28, no. 7 (February 16, 2018): 2210–26. http://dx.doi.org/10.1177/0962280218757560.
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We consider the problem of estimation and variable selection for general linear regression models. Regularized regression procedures have been widely used for variable selection, but most existing methods perform poorly in the presence of outliers. We construct a new penalized procedure that simultaneously attains full efficiency and maximum robustness. Furthermore, the proposed procedure satisfies the oracle properties. The new procedure is designed to achieve sparse and robust solutions by imposing adaptive weights on both the decision loss and the penalty function. The proposed method of estimation and variable selection attains full efficiency when the model is correct and, at the same time, achieves maximum robustness when outliers are present. We examine the robustness properties using the finite-sample breakdown point and an influence function. We show that the proposed estimator attains the maximum breakdown point. Furthermore, there is no loss in efficiency when there are no outliers or the error distribution is normal. For practical implementation of the proposed method, we present a computational algorithm. We examine the finite-sample and robustness properties using Monte Carlo studies. Two datasets are also analyzed.
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Mitic, Vojislav, Srdjan Ribar, Branislav Randjelovic, Chun-An Lu, Reuben Hwu, Branislav Vlahovic, and Hans Feht. "Sintering temperature influence on grains function distribution by neural network application." Thermal Science 26, no. 1 Part A (2022): 299–307. http://dx.doi.org/10.2298/tsci210420283m.
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Artificial neural networks application in science and techonology begun during 20th century. This biophysical and biomimetic phenomena is based on extensive research which have led to understanding how neural as a living organism nerve system basic element processes signals by a simple algorithm. The input signals are massively parallel processed, and the output presents the superposition of all parallel processed signals. Artificial neural networks which are based on these principles are useful for solving various problems as pattern recognition, clustering, functional optimization. This research analyzed thermophysical parameters at samples based on Murata powders and consolidated by sintering process. Among different physical properties we applied out neural network approach on grain sizes distribution as a function of sintering temperature, T, (from 1190-1370?C). In this paper, we continue to apply neural networks to prognose structural and thermophysical parameters. For consolidation sintering process is very important to prognose and design many parameters but especially thermal like temperature, to avoid long and even wrong experiments which are wasting the time and materials and energy as well. By this artificial neural networks method we indeed provide the most efficient procedure in projecting the mentioned parameters and provide successful ceramics samples production. This is very helpful in prediction and designing the micro-structure parameters important for advance microelectronic further miniaturization development. This is a quite original novelty for real micro-structure projecting especially on the phenomena within the thin films coating around the grains what opens new prospective in advance fractal microelectronics.
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Lyman, Susan K., Tinglu Guan, Janna Bednenko, Harald Wodrich, and Larry Gerace. "Influence of cargo size on Ran and energy requirements for nuclear protein import." Journal of Cell Biology 159, no. 1 (October 7, 2002): 55–67. http://dx.doi.org/10.1083/jcb.200204163.
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Previous work has shown that the transport of some small protein cargoes through the nuclear pore complex (NPC) can occur in vitro in the absence of nucleoside triphosphate hydrolysis. We now demonstrate that in the importin α/β and transportin import pathways, efficient in vitro transport of large proteins, in contrast to smaller proteins, requires hydrolyzable GTP and the small GTPase Ran. Morphological and biochemical analysis indicates that the presence of Ran and GTP allows large cargo to efficiently cross central regions of the NPC. We further demonstrate that this function of RanGTP at least partly involves its direct binding to importin β and transportin. We suggest that RanGTP functions in these pathways to promote the transport of large cargo by enhancing the ability of import complexes to traverse diffusionally restricted areas of the NPC.
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Li, Chang Sheng, He Zhang, and Xiao Hua Jiang. "Experimental Research on the Influence of Transmission Parameters on the Transmission Performance of Magnetic Resonance Wireless Power Transmission Systems." Applied Mechanics and Materials 551 (May 2014): 393–98. http://dx.doi.org/10.4028/www.scientific.net/amm.551.393.
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Magnetic resonance wireless power transmission uses resonance strong coupling between the transmission and receiving terminals to realize a non-contact efficient supply of energy over large distance. The transmission power, efficiency and distance are confirmed by comprehensive function of the transmission parameters. By taking experimental means, the influence laws of loop transmission parameters, such as separation between coils, coil size, etc., on the transmission performance are studied in this paper. The experimental results show that the power high-efficiency and high-quality transmission does not depend on the large coil loop coupling coefficient and transmission power and efficiency may increase firstly and then decline as the separation between coils increases. The transmission performance can be optimized by increasing the coils diameter or wire diameter, and moreover, transmission systems with a high resonance frequency can produce high power and efficiency transmission over short distances.
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MÉMIN, ÉTIENNE, and TANGUY RISSET. "ON THE STUDY OF VLSI DERIVATION FOR OPTICAL FLOW ESTIMATION." International Journal of Pattern Recognition and Artificial Intelligence 14, no. 04 (June 2000): 441–61. http://dx.doi.org/10.1142/s0218001400000295.
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In this paper we propose studying several ways to implement a realistic and efficient VLSI design for a gradient-based dense motion estimator. The kind of estimator we focus on belongs to the class of differential methods. It is classically based on the optical flow constraint equation in association with a smoothness regularization term and also incorporates robust cost functions to alleviate the influence of large residuals. This estimator is expressed as the minimization of a global energy function defined within the framework of an incremental formulation associated with a multiresolution setup. In order to make possible the conception of efficient hardware, we consider a modified minimization strategy. This new minimization strategy is not only well suited to VLSI derivation, it is also very efficient in terms of quality of the result. The complete VLSI derivation is realized using high-level specifications.
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Saraswati, Niken, and Mulyono Mulyono. "PENGARUH PERTUMBUHAN EKONOMI, EFISIENSI DAN LIKUIDITAS TERHADAP PROFITABILITAS PERBANKAN PADA BURSA EFEK INDONESIA." Ultimaccounting : Jurnal Ilmu Akuntansi 11, no. 2 (March 6, 2020): 127–41. http://dx.doi.org/10.31937/akuntansi.v11i2.1433.
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A good bank must be efficient because efficiency will increase banking productivity and performance. As an institution that functions for banking intermediation, it must have a healthy financial condition to function properly and gain public trust. The purpose of this study is to examine the effect of Economic Growth, Efficiency and Liquidity on the profitability of banks in the Indonesia Stock Exchange. There are inconsistent research results from previous studies, regarding efficiency, liquidity and economic growth that can affect banking performance. The sample used in this study was 35 banks listed on the Indonesia Stock Exchange. Data processing in this study uses multiple regression with the help of SPSS version 20. The results of the study indicate that Economic Growth has a positive influence on bank profitability, for Efficiency and Liquidity has a negative effect on bank profitability. This research is expected to be useful both for the banking industry in making decisions and the government in making policies.
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Renigier-Biłozor, Małgorzata, and Radosław Wiśniewski. "The Effectiveness of Real Estate Market Versus Efficiency of Its Participants." European Spatial Research and Policy 19, no. 1 (July 26, 2012): 95–110. http://dx.doi.org/10.2478/v10105-012-0008-5.
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Real estate markets (REMs) may be classified as strong-form efficient, semi-strong-form efficient or weak-form efficient. Efficiency measures the level of development or goal attainment in a complex social and economic system, such as the real estate market. The efficiency of the real estate market is the individual participant's ability to achieve the set goals. The number of goals is equivalent to the number of participants. Every market participant has a set of specific efficiency benchmarks which can be identified and described. In line with the theory of rational expectations, every participant should make decisions in a rational manner by relying on all available information to make the optimal forecast. The effectiveness of the real estate market is a function of the efficiency of individual market participants.
This paper attempts to prove the following hypothesis: the effectiveness of a real estate market may be identified by analysing the effectiveness of its participants. The authors also discuss methods based on the rough set theory which can influence the efficiency and efficacy of market participants, and consequently, the effectiveness of the real estate market and its participants.
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Grillo, Rodolfo H. F., Sylma Carvalho Maestrelli, K. V. F. Grillo, Neide Aparecida Mariano, Carolina del Roveri, and Patrícia Neves Mendes. "Study on the Influence of Water-Reducing Additives in Concretes for Civil Construction." Materials Science Forum 881 (November 2016): 233–38. http://dx.doi.org/10.4028/www.scientific.net/msf.881.233.
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Water-reducing additives for concretes are high efficiency dispersants that promote reduction of viscosity in suspensions, minimizing the amount of water used to hydrate the cement, thus enabling the fabrication of concrete with excellent properties. However, different forms of interaction between cement and additives are observed. In this work the properties of concrete formulated with three dosages of a polycarboxylate-based water-reducing additive and cement type CPII E-32 from two distinct manufacturers were investigated. In the experimental part, we verified the importance to use this technology justified by excellent results obtained for mechanical resistance and plasticity properties of the concretes. Through statistical analysis it was possible to point a discrete superiority in compositions using Holcim cement in function of its physical and chemical characteristics, in which the interaction process showed to be more efficient.
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Yukhman, Y. V. "The Adaptively Oriented System of Enterprise Management: The Theoretical Aspects." Business Inform 10, no. 513 (2020): 376–83. http://dx.doi.org/10.32983/2222-4459-2020-10-376-383.
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The article is aimed at a theoretical substantiation of the formation of an adaptively oriented system of enterprise management, taking into account internal and external influences along with new challenges of society. According to the results of the carried out research, the author defines that realities are formed under the influence of economic laws, which leads to an increase in the level of competition in both domestic and foreign markets. Accordingly, in order to effectively function the management of domestic enterprises needs to produce and implement innovative managerial solutions aimed at increasing competitiveness through the operation of an adaptively oriented management system. The principles and functions of formation of an adaptively oriented management system of enterprise are singled out; the stages of its development and implementation are examined. It is determined that the efficient direction of solving this problem is the formation and functioning of adaptive and organizational structures of enterprise management. Vector directions of efficiency of adaptively oriented management system of enterprise are outlined and its models are defined. It is specified that in the development of an efficient management system it is necessary to take into account the requirements of uncertainty and form adaptation mechanisms that will reduce the impacts of risks from crisis phenomena, as well as create opportunities for the development of domestic enterprises.
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Zhang, Xiao Hua, and Hui Xiang. "An Improved Element Free Galerkin Method and Precise Time-Step Integration Method for Solving Transient Heat Conduction Problems." Applied Mechanics and Materials 444-445 (October 2013): 1517–21. http://dx.doi.org/10.4028/www.scientific.net/amm.444-445.1517.
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An improved element free Galerkin method coupled the precise time-step integration method in the time domain is proposed for solving transient heat conduction problem with spatially varying conductivity in the paper. Firstly the nodal influence domain of element free Galerkin methods is extended to arbitrary convex polygon rather than rectangle and circle. When the dimensionless size of the nodal influence domain is 1.01, the shape function almost possesses interpolation property, thus essential boundary conditions can be implemented without any difficulties for the meshless method. Secondly, the precise time-step integration method is selected for the time discretization in order to improve the computational efficiency. Lastly, one numerical example is given to illustrate the highly accurate and efficient algorithm.
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Iriabije, Alex Oisaozoje, Ubong Edem Effiong, and Nora Francis Inyang. "Capital Market Volatility and Real Sector Expansion in Nigeria." Research in Social Sciences 5, no. 2 (December 6, 2022): 78–93. http://dx.doi.org/10.53935/26415305.v5i2.245.
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This study utilized data from the first quarter of 2010 to the fourth quarter of 2021 to explore how volatility in the capital market can influence the real sector of the Nigerian economy. With the use of the generalized autoregressive conditional heteroscedasticity (GARCH) approach, we realized that there is no volatility clustering in the Nigerian market capitalization given that the estimate of lagged value of residual is negative and significant. Also, the decay of the response function on a quarterly basis being 0.3054 is quite low and is symptomatic of response functions to shock dying at a faster pace. Therefore, a new shock in the Nigerian capital market it will have impact on the market capitalization for a short period making the market less predictable. This makes the Nigerian capital market to be efficient since the market is not easily predictable. The VAR result revealed that the market capitalization put forth a positive and significant influence on economic growth; with the impulse response function indicating that economic growth responded positively to shocks in market capitalization. The paper concludes that the capital market needs be streamlined in order to avoid volatility clustering in the future, in order to maintain the efficiency of the market.
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Bian, Chao, Chao Feng, Chao Qian, and Yang Yu. "An Efficient Evolutionary Algorithm for Subset Selection with General Cost Constraints." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 3267–74. http://dx.doi.org/10.1609/aaai.v34i04.5726.
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In this paper, we study the problem of selecting a subset from a ground set to maximize a monotone objective function f such that a monotone cost function c is bounded by an upper limit. State-of-the-art algorithms include the generalized greedy algorithm and POMC. The former is an efficient fixed time algorithm, but the performance is limited by the greedy nature. The latter is an anytime algorithm that can find better subsets using more time, but without any polynomial-time approximation guarantee. In this paper, we propose a new anytime algorithm EAMC, which employs a simple evolutionary algorithm to optimize a surrogate objective integrating f and c. We prove that EAMC achieves the best known approximation guarantee in polynomial expected running time. Experimental results on the applications of maximum coverage, influence maximization and sensor placement show the excellent performance of EAMC.
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Tarasova, A. R., I. S. Vaskan, A. V. Zalygin, P. S. Troitskaya, N. V. Bovin, and V. A. Oleinikov. "Loading efficiency of doxorubicin into the micelle-like structures formed by function-spacer-lipid constructs self-assembly depends on constructs’ functional part." Journal of Physics: Conference Series 2058, no. 1 (October 1, 2021): 012003. http://dx.doi.org/10.1088/1742-6596/2058/1/012003.
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Abstract Supramolecular self-assemble systems based on neoglycolipids: Galili-Ad-CMG2-Ad-DOPE, A(type2)-Ad-CMG2-Ad-DOPE are studied here and compared with the well-studied Biotin-CMG2-Ad-DOPE, as well as with their combinations with NH2-CMG2-Ad-DOPE. They are function-spacer-lipid constructs with unique structure that allows them to form micelle-like supramers and be stable, what makes them a potential drug nanocarriers. The structural properties of the obtained supramolecular systems are studied depending on their functional part, and the loading efficiency of doxorubicin into the supramers is determined to reveal the influence of the functional part. The resulting supramers were separated from the unbound molecules by dialysis, the nanoparticles morphology were studied by atomic force microscopy, and the loading efficiency was calculated based on spectrophotometry data. The encapsulation of doxorubicin was confirmed based on changes in the size and shape of the supramers, as well as a decrease in the ratio of unbound molecules. According to the loading efficiency calculations, it was estimated that supramers formed by A(type2)-Ad-CMG2-Ad-DOPE are the most efficient nanocarriers with loading efficiency of 82 %. Supramers formed by NH2-CMG2-Ad-DOPE (no functional part) showed 1.5 times less efficiency. Finally, the least efficient carriers are supramers formed by Biotin-CMG2-Ad-DOPE (14%).
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Tan, D., ZR Lu, and JK Liu. "A two-step method for damage identification in beam structures based on influence line difference and acceleration data." Advances in Mechanical Engineering 10, no. 7 (July 2018): 168781401878740. http://dx.doi.org/10.1177/1687814018787404.
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This article presents a two-step approach for structural damage identification in beam structure. Damages are located using the influence line difference before and after damage, the calculation of damage severity is accomplished by acceleration data and bird mating optimizer algorithm. Local damages are simulated as the reduction of both the elemental Young’s modulus and mass of the beam. The technique for damage localization based on displacement influence line difference and its derivatives for beam structure has been outlined. An objective function that comprises dynamic acceleration is utilized in bird mating optimizer. All data are originated from only a few measurement points. Two numerical examples, namely, a simply supported beam and a four-span continuous beam, are investigated in this article. Identification results from different objective functions are compared with results from objective function conventional modal assurance criterion, which shows the superiority of the proposed function. In addition, results of dynamic responses under different types of excitation are presented. The effect of measurement noise level on damage identification results is studied. Studies in the article indicate that the proposed method is efficient and robust for identifying damages in beam structures.
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Winarno, Ermin Katrin. "ORTHO-CHLOROANILINE DEGRADATION UNDER THE INFLUENCE OF OZONE IN AQUEOUS SOLUTION." Indonesian Journal of Chemistry 7, no. 2 (June 20, 2010): 137–40. http://dx.doi.org/10.22146/ijc.21688.
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The degradation study on 2-chloroaniline (2-ClA) used as a model of water pollutant by ozonation was performed. The change of spectrum and substrate concentration of treated solutions were measured by spectrophotometer as well as by HPLC method. The change of solutions pH after ozonization was observed. The yields of the products formed (chloride ions, ammonium ions, and formaldehyde) were investigated as a function of ozonation time. The results showed that the ozonation gave to an efficient degradation of 2-ClA. Keywords: degradation, ortho-chloroaniline, ozone
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Cesarone, Francesco, Raffaello Cesetti, Giuseppe Orlando, Manuel Luis Martino, and Jacopo Maria Ricci. "Comparing SSD-Efficient Portfolios with a Skewed Reference Distribution." Mathematics 11, no. 1 (December 23, 2022): 50. http://dx.doi.org/10.3390/math11010050.
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Portfolio selection models based on second-order stochastic dominance (SSD) have the advantage of providing portfolios that reflect the behavior of risk-averse investors without the need to specify the utility function. Several scholars apply SSD conditions with respect to a reference distribution, typically that of the market index, to find its dominant SSD portfolio. However, since the reference distribution could strongly influence asset allocation, in this article, we compare two SSD-based portfolio selection strategies with a reshaping of the reference distribution in terms of its skewness and, consequently, its variance. Through an extensive empirical analysis based on multiasset investment universes, we empirically show that the SSD portfolios dominating the new skewed benchmark index generally perform better.
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Silva, Gerlani A., Leilson C. Grangeiro, Valdivia de F. L. Sousa, Luiz R. R. Silva, Priscila M. M. Jesus, and Jorge L. A. Silva. "Agronomic performance of beet cultivars as a function of phosphorus fertilization." Revista Brasileira de Engenharia Agrícola e Ambiental 23, no. 7 (July 2019): 518–23. http://dx.doi.org/10.1590/1807-1929/agriambi.v23n7p518-523.
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ABSTRACT The lack of phosphorus in soil affects the development and productivity of plants; however, in order for them to express the full potential, it is necessary to supply this nutrient. The objective of this study was to define adequate doses of phosphorus, which maximize the productivity and quality of four beet cultivars, and to identify among them the most efficient use of phosphorus. The experiment was carried out at the Rafael Fernandes Experimental Farm, of the Federal Rural Semi-Arid University, Mossoró, RN state, Brazil, from July to October 2016. The experimental design was a randomized block in a 4 x 4 factorial scheme with four repetitions, corresponding to four beet cultivars (Early Wonder, Fortuna, Kestrel and Cabernet) and four doses of phosphorus (0, 90, 180 and 270 kg ha-1 of P2O5). The dose that maximized commercial productivity was 186 kg ha-1 of P2O5 for the cultivars Early Wonder (21.71 t ha-1) and Kestrel (22.59 t ha-1), 180 kg ha-1 of P2O5 for Carbenet (25.82 t ha-1) and 183 kg ha-1 of P2O5 for Fortuna (25.40 t ha-1). The Cabernet and Fortuna cultivars were classified as not efficient but responsive, whereas Early Wonder and Kestrel were efficient but not responsive. Phosphorus did not influence content of soluble solids and percentage of white rings at the root.
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EAMES, Penelope J., John F. POTTER, and Ronney B. PANERAI. "Influence of controlled breathing patterns on cerebrovascular autoregulation and cardiac baroreceptor sensitivity." Clinical Science 106, no. 2 (February 1, 2004): 155–62. http://dx.doi.org/10.1042/cs20030194.
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Transfer function analysis has become one of the main techniques to study the dynamic relationship between cerebral blood flow and arterial blood pressure, but the influence of different respiratory rates on cerebral blood flow has not been fully investigated. In 14 healthy volunteers, middle cerebral artery blood flow velocity, recorded using transcranial Doppler ultrasound, non-invasive beat-to-beat Finapres blood pressure, ECG and end-tidal CO2 (PETCO2) levels were recorded with subjects resting supine and breathing spontaneously or at controlled rates of 6, 10 and 15 breaths/min. Transfer function analysis and impulse and step responses were computed at each respiratory rate. PETCO2 levels tended to fall slightly during paced respiration, especially at 15 breaths/min. Controlled breathing rates did not alter transfer function analysis in the frequency range below 0.08 Hz but, above this frequency, the coherence function contained significant peaks corresponding to the respiratory frequencies. The impulse response was similar at all breathing rates, but the step response was characteristic of more efficient autoregulation with reduced PETCO2 levels associated with increasing respiratory rate. The effects of breathing rate and rhythmicity and PETCO2 must be considered in studies of cerebral autoregulation.
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Rohi, Jullyo Gideon, Ratna Winandi, and Anna Fariyanti. "ANALISIS FAKTOR YANG MEMPENGARUHI PRODUKSI USAHATANI JAGUNG SERTA EFISIENSI TEKNIS DI KABUPATEN KUPANG." Forum Agribisnis 8, no. 2 (September 1, 2018): 181–98. http://dx.doi.org/10.29244/fagb.8.2.181-198.
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Corn (Zea mays L.) is a potential agribusiness commodity in meeting food needs. In the national economy, corn is the second largest contributor after rice in the food subsector. One potential area for corn production is Kupang Regency which has a lot of marginal lands (dry land). This study aims to determine the factors that influence the production and technical efficiency of corn farming in Kupang Regency. This study, using the Cobb-Douglas production function method, is a functional form of the corn production function in the study area and the Stochastic Frontier method is estimated using the Ordinary Least Square (OLS) and Maximum Likelihood Estimation (MLE) methods. The results showed that all the variables in the significant model were soil, seeds, Urea, KCL, SP36, pesticides and had signs that matched expectations. The study also found that farmers were technically efficient with an average of 75 percent and factors that had a significant influence on increasing technical personnel, namely age, formal education and income.
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Yadav, Sunil, Sushil Kumar, and Rajeev Gupta. "Cobalt complexes of pyrrolecarboxamide ligands as catalysts in nitro reduction reactions: influence of electronic substituents on catalysis and mechanistic insights." Inorganic Chemistry Frontiers 4, no. 2 (2017): 324–35. http://dx.doi.org/10.1039/c6qi00389c.
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Square-planar Co3+ complexes, displaying substrate binding abilities and facile Co3+/2+ redox potentials, function as efficient catalysts for hydrazine-mediated reduction of aromatic, heterocyclic, as well as aliphatic nitro substrates.
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Esmaeili, Abdoulkarim. "Technical efficiency analysis for the Iranian fishery in the Persian Gulf." ICES Journal of Marine Science 63, no. 9 (January 1, 2006): 1759–64. http://dx.doi.org/10.1016/j.icesjms.2006.06.012.
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Abstract There are many fish landing areas in southern Iran, distributed all along the coastline, and despite gradually increasing effort, the total catch has fluctuated in recent years. This study examines the technical efficiency of the fishing industry, and identifies factors that could be causing inefficiency. A stochastic production function among fishery vessels is estimated. Technical efficiency measures the ability of firms to maximize output using a given set of inputs and technologies. The results indicate that technical efficiency in the fishery is relatively low, and that wooden vessels of medium size are more efficient than small fibreglass vessels. Both skippers' socio-economic drivers and vessel instrumentation have a significant impact on efficiency. Ownership of two-way radio and ownership of GPS are important considerations that influence fishing efficiency, and the skipper's level of education and experience are qualities that also affect it. Owner-operated vessels and younger skippers are more efficient than others. Understanding these constraints may contribute to increasing the efficiency of the Iranian fishery in the Persian Gulf.
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Melyukov, Valery, and Evgeny A. Marinin. "Controlled Process of Crystallization in Weld Pool." Materials Science Forum 1037 (July 6, 2021): 258–63. http://dx.doi.org/10.4028/www.scientific.net/msf.1037.258.
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In this report the problem of control of solidification crack formation in welded plates is considered. In this problem the welding source is determined in dependence on the preset configuration and curvature of the rear part weld pool. A double ellipsoid model of weld pool with preset semi-axes may be used for the first approximation of preset weld pool configuration. It is an inverse problem which may be more efficiently solved as optimal control problem. The Function of welding source as a controlling function obtained in the result of solution is determined in a class of piecewise continuous functions which is more common class and the continuous-smooth functions are special partial case of common class. Recent methods of optimal control which use for solution of optimal control problems require to present the controlling functions in class of piecewise constant functions. Laser influence, electron beam, plasma, arc and submerged arc are the welding sources with high concentrated energy. A mathematical models of these welding sources may be introduced in class of piecewise continuous function with an efficient accuracy.
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Kozyr, V. S., P. P. Antonenko, N. I. Suslova, and R. V. Mylostyvyi. "Results of studies of the influence of phytopreparations on cows and calfs." E3S Web of Conferences 282 (2021): 04003. http://dx.doi.org/10.1051/e3sconf/202128204003.
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Purpose. To establish the influence of the “Phytochol”, “Phytopunk” and “Gastroacide” phytopreparations developed by the authors on the reproductive function of cows, resistance and safety for calves. Methods. Biological, biochemical, hematological, immunological, analytical, biometric, zootechnical. Results. It has been established that in homeopathic doses, the studied drugs are non-toxic, have a wide range of pharmacological effects and contain biologically active substances that have strengthening, tonic properties, metabolism normalizing in the “cow-calf” biochemical system. Conclusions. To normalize the reproductive function of cows, it is advisable to use “Phytochol”and “Phytopunk”. The resistance of newborn calves is strengthened by feeding them “Phytopunk” and “Gastroacide”. The productivity of young cattle can be increased by introducing the drug “Phytochol” into the ration. The use of phytopreparations “Phytopunk”, “Phytochol” in homeopathic doses in cattle breeding contributes to a more efficient management of the industry.
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Scherrer-Crosbie, M., M. Paul, M. Meignan, E. Dahan, G. Lagrue, G. Atlan, and A. M. Lorino. "Pulmonary clearance and lung function: influence of acute tobacco intoxication and of vitamin E." Journal of Applied Physiology 81, no. 3 (September 1, 1996): 1071–77. http://dx.doi.org/10.1152/jappl.1996.81.3.1071.
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Cigarette smoking increases the alveolar epithelial permeability to small solutes, as assessed by the pulmonary clearance of aerosolized 99mTc-labeled diethylenetriaminepentaacetate. The involvement of lipid peroxidation in this increased clearance was tested in eight asymptomatic young smokers by investigating the effects of a 3-wk supplementation with oral vitamin E (1,000 IU/day) on pulmonary clearance according to a protocol designed as a single-blind crossover study. Indexes of acute tobacco intoxication (exhaled CO, carboxyhemoglobin, and urinary cotinine) and lung function parameters [including Krogh factor (KCO)] were also studied. Under control conditions, pulmonary clearance was abnormally increased (2.93 +/- 0.78%/min), whereas KCO was in the normal range. Pulmonary clearance correlated strongly with expired CO (P < 0.04), HbCO (P < 0.005), urinary cotinine (P < 0.003), and KCO (P < 0.004). Supplementation with vitamin E, a highly efficient antioxidant, neither decreased the pulmonary clearance nor altered the above correlations. However, the strong correlations observed between pulmonary clearance and indexes of acute tobacco intoxication, which reflect the amount of inhaled smoke and the resultant oxidant stress, do not allow exclusion of the involvement of lipid peroxidation in the pulmonary clearance increase observed in smokers.