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HASSAN, W. A., N. I. DIM, O. A. OSINOWO, and B. Y. ABUBAKAR. "GENETIC AND PHENOTYPIC CORRELATIONS FOR BODY WEIGHTS IN YANKASA SHEEP." Nigerian Journal of Animal Production 18 (January 12, 2021): 12–18. http://dx.doi.org/10.51791/njap.v18i.1931.
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Using paternal half-sib (PHS) analysis, coefficients of genetic and phenotypic correlations be- tween body weights of Yankasa lambs at birth, weaning (three months), six months, nine months and one year of age were estimate. The highest genetic correlation coefficient of 0.33 was obtained between birth and yearling weight. Six- month weight had very low and negative genetic correlation with yearling weight (-0.04). Phenotypic correlation coefficients for the various body weights pairs were positive and mostly of medium magnitude (0.12 -0.47).
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Cardin, Sylvie, and Francis Minvielle. "Selection on phenotypic variation of pupa weight in Tribolium castaneum." Canadian Journal of Genetics and Cytology 28, no. 5 (1986): 856–61. http://dx.doi.org/10.1139/g86-119.
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Responses to selection for high and low intrafamily coefficients of variation of pupa weight in Tribolium castaneum were observed for 10 generations. A significant decrease of the coefficient of variation has been observed in the replicated lines selected downwards while no response occurred in the other lines. Mean pupa weights did not change significantly throughout the experiment while mean fertility decreased in all lines, probably as a consequence of inbreeding depression. Realized heritability of the coefficient of variation of pupa weight was 0.15 ± 0.04 and 0.03 ± 0.01% for the downwards and upwards lines, respectively. These results show that the manipulation of the phenotypic variability by direct selection is possible.Key words: Tribolium, phenotypic variance, coefficient of variation of pupa weight.
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Beck-Candanedo, Stephanie, David Viet, and Derek G. Gray. "Partitioning of charged and neutral dextran-dye derivatives in biphasic cellulose nanocrystal suspensions." Canadian Journal of Chemistry 86, no. 6 (2008): 503–11. http://dx.doi.org/10.1139/v08-005.
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The partitioning behaviour of dye-labeled dextrans of high molecular weight in aqueous suspensions of native cellulose nanocrystals was studied. Cellulose concentrations lie in the isotropic–nematic coexistence region. Blue dextrans of various molecular weights and degrees of substitution of dye molecules (anionic Cibacron blue 3G-A) were investigated. Increasing the total concentration of blue dextran and degree of dye substitution led to increasing partition coefficients. Increasing dextran molecular weight resulted in higher partition coefficients, in agreement with theory. Partition coefficients were larger than predicted theoretically using a second virial coefficient approximation. Electrostatic and entropic contributions to the partition coefficient of blue dextran are discussed. Dextrans labeled with neutral fluorescein isothiocyanate did not partition preferentially in this system.Key words: partition coefficient, cellulose nanocrystals, dextrans, degree of substitution, polyelectrolyte.
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Qian, Yao, Ping Wang, Jiayin Chen, G. Bethel Lulu, Jingmang Xu, and Boyang An. "Numerical investigation of the influence of the creep curve on the wheel–rail contact damage in high-speed railway turnouts." Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 233, no. 9 (2018): 926–36. http://dx.doi.org/10.1177/0954409718819574.
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This paper studies the wheel–rail creep curve characteristics and dynamic behaviour in high-speed railway turnouts by considering different wheel–rail surfaces and simulating them using a dynamic functional vehicle–track model with different friction and Kalker’s weight coefficients. The dynamic performance and damage coefficient of CRH2 locomotive passing through the 18# turnout at a speed of 80 km/h are discussed under different friction and Kalker’s weight coefficients. The results show that the Kalker’s weight and friction coefficients have less influence on the wheel–rail dynamics and wear performance at low values. Vehicle operating stability is the highest when the high-speed wheels pass through the switching area and the Kalker’s weight coefficient is 0.1. In this case, both fatigue damage and wear are low. When the Kalker’s weight coefficient at the crossing area is 1 and the friction coefficient is 0.5, the dynamic wheel–rail performance is good, with reduced wear and good wheel–rail contact. When the Kalker’s weight coefficient is 0.1, the maximum wear number of the closure panel is closer to the lower limit of the second region of the damage function, and both fatigue damage and wear are very low. The results are useful for accurately describing the wheel–rail contact relationship in high-speed turnouts and for finding the most appropriate creep curve to decrease wear and to prolong the turnout service life.
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Austrow, J. C. "An Optimum Balance Weight Search Algorithm." Journal of Engineering for Gas Turbines and Power 116, no. 3 (1994): 678–81. http://dx.doi.org/10.1115/1.2906873.
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A mathematical description for an optimum balance weight search algorithm for single-plane multipoint balance is presented. The algorithm uses influence coefficients, either measured or known beforehand, and measured complex vibration data to determine an optimum balance correction weight. The solution minimizes the maximum residual vibration. The algorithm allows user-defined balance weights to be analyzed and evaluated. A test case is presented showing actual results and comparison with a least-squares solution algorithm. An efficient multiplane influence coefficient calculation scheme is also presented.
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Van Pee, Thessa, Dries S. Martens, Rossella Alfano, et al. "Cord Blood Proteomic Profiles, Birth Weight, and Early Life Growth Trajectories." JAMA Network Open 7, no. 5 (2024): e2411246. http://dx.doi.org/10.1001/jamanetworkopen.2024.11246.
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ImportanceThe cord blood proteome, a repository of proteins derived from both mother and fetus, might offer valuable insights into the physiological and pathological state of the fetus. However, its association with birth weight and growth trajectories early in life remains unexplored.ObjectiveTo identify cord blood proteins associated with birth weight and the birth weight ratio (BWR) and to evaluate the associations of these cord blood proteins with early growth trajectories.Design, Setting, and ParticipantsThis cohort study included 288 mother-child pairs from the ongoing prospective Environmental Influence on Early Aging birth cohort study. Newborns were recruited from East-Limburg Hospital in Genk, Belgium, between February 2010 and November 2017 and followed up until ages 4 to 6 years. Data were analyzed from February 2022 to September 2023.Main Outcomes and MeasuresThe outcome of interest was the associations of 368 inflammatory-related cord blood proteins with birth weight or BWR and with early life growth trajectories (ie, rapid growth at age 12 months and weight, body mass index [BMI] z score, waist circumference, and overweight at age 4-6 years) using multiple linear regression models. The BWR was calculated by dividing the birth weight by the median birth weight of the population-specific reference growth curve, considering parity, sex, and gestational age. Results are presented as estimates or odds ratios (ORs) for each doubling in proteins.ResultsThe sample included 288 infants (125 [43.4%] male; mean [SD] gestation age, 277.2 [11.6] days). The mean (SD) age of the child at the follow-up examination was 4.6 (0.4) years old. After multiple testing correction, there were significant associations of birth weight and BWR with 7 proteins: 2 positive associations: afamin (birth weight: coefficient, 341.16 [95% CI, 192.76 to 489.50]) and secreted frizzled-related protein 4 (SFRP4; birth weight: coefficient, 242.60 [95% CI, 142.77 to 342.43]; BWR: coefficient, 0.07 [95% CI, 0.04 to 0.10]) and 5 negative associations: cadherin EGF LAG 7-pass G-type receptor 2 (CELSR2; birth weight: coefficient, −237.52 [95% CI, −343.15 to −131.89]), ephrin type-A receptor 4 (EPHA4; birth weight: coefficient, −342.78 [95% CI, −463.10 to −222.47]; BWR: coefficient, −0.11 [95% CI, −0.14 to −0.07]), SLIT and NTRK-like protein 1 (SLITRK1; birth weight: coefficient, −366.32 [95% CI, −476.66 to −255.97]; BWR: coefficient, −0.11 [95% CI, −0.15 to −0.08]), transcobalamin-1 (TCN1; birth weight: coefficient, −208.75 [95% CI, −305.23 to −112.26]), and unc-5 netrin receptor D (UNC5D; birth weight: coefficient, −209.27 [95% CI, −295.14 to −123.40]; BWR: coefficient, −0.07 [95% CI, −0.09 to −0.04]). Further evaluation showed that 2 proteins were still associated with rapid growth at age 12 months (afamin: OR, 0.32 [95% CI, 0.11-0.88]; TCN1: OR, 2.44 [95% CI, 1.26-4.80]). At age 4 to 6 years, CELSR2, EPHA4, SLITRK1, and UNC5D were negatively associated with weight (coefficients, −1.33 to −0.68 kg) and body mass index z score (coefficients, −0.41 to −0.23), and EPHA4, SLITRK1, and UNC5D were negatively associated with waist circumference (coefficients, −1.98 to −0.87 cm). At ages 4 to 6 years, afamin (OR, 0.19 [95% CI, 0.05-0.70]) and SLITRK1 (OR, 0.32 [95% CI, 0.10-0.99]) were associated with lower odds for overweight.Conclusions and RelevanceThis cohort study found 7 cord blood proteins associated with birth weight and growth trajectories early in life. Overall, these findings suggest that stressors that could affect the cord blood proteome during pregnancy might have long-lasting associations with weight and body anthropometrics.
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K, Renganayaki, and Sreerengasamy S.R. "PATH COEFFICIENT ANALYSIS IN BLACKGRAM." Madras Agricultural Journal 79, November (1992): 634–39. http://dx.doi.org/10.29321/maj.10.a01802.
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Variability, heritability and genetic advance were estimated for sixteen characters in twenty blackgram (Urd) types. phenotypic and genotypic coefficient of variation for dry leaf weight was high followed by seed yield and leaf area. Genetic advance was high for seed yield followed by dry leaf weight. Seed yield per plant showed significant positive correlation with all the characters except number of primary branches, specific leaf weight and protein per cent. path coefficient analysis revealed plant height and primary leaf area had higher positive direct effect on seed yield and 100 seed weight recorded highest negative direct effect on seed yield.
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Mahmoudi, P., A. Rashidi, and M. Razmkabir. "Inbreeding effects on some reproductive traits in Markhoz goats." Animal Production Science 58, no. 12 (2018): 2178. http://dx.doi.org/10.1071/an17043.
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The objective of this study was to estimate the inbreeding coefficient and its effects on reproductive traits in Markhoz goats. The pedigree file included 5351 kids produced by 234 bucks and 1470 does. Average inbreeding coefficient for the whole population was 2.68%, and the minimum and maximum inbreeding coefficients were 0.05% and 31.25%, respectively. Average coefficient of inbreeding for inbred population was 5.17% and the number of inbred animals in the population was 2777. For investigating effects of inbreeding coefficient on reproductive traits, 3443 records were available for litter size at birth (LSB), litter size at weaning (LSW), total litter weight at birth (TLWB) and mean of litter weight at birth (MLWB). Furthermore, available records for total litter weight at weaning (TLWW) and mean of litter weight at weaning (MLWW) were 2918. Inbreeding depression was estimated as the linear regression of performance on the individual inbreeding coefficient of kids and dams using the most appropriate animal model based on Akaike’s information criterion. Furthermore, inbreeding depressions for LSB and LSW were estimated using threshold and Poisson models. Regression coefficients of LSB, LSW, TLWB, TLWW, MLWB and MLWW on inbreeding coefficient of kids were –0.035, –0.019, –0.077 kg, –0.782 kg, –0.009 kg and –0.332 kg, respectively. Furthermore, regression coefficients of LSB, LSW, TLWB, TLWW, MLWB and MLWW on inbreeding coefficient of dams were 0.064, –0.013, 0.241 kg, 0.638 kg, 0.028 kg and –1.783 kg, respectively. The obtained results from this study showed that inbreeding depression is controlled by an appropriate mating system policy.
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Janulevičius, Algirdas, and Kazimieras Giedra. "THE SLIPPAGE OF THE DRIVING WHEELS OF A TRACTOR IN A CULTIVATED SOIL AND STUBBLE." TRANSPORT 24, no. 1 (2009): 14–20. http://dx.doi.org/10.3846/1648-4142.2009.24.14-20.
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The article analyses the relation between the slippage of driving wheels and the traction characteristics of a tractor. The indicators for estimating wheel slippage are a coefficient of tractor weight force utilization for driving wheel grip and a coefficient of the ratio of trailer and tractor mass. The dependencies of wheel slippage on the weight utilization coefficient of tractors and the ratio of trailer and tractor mass are overviewed. The presented and carried out analysis of the equations of weight utilization coefficient ϕ g determined its dependencies on rolling resistance coefficients f of a means of transport, working speed v and acceleration aon the mass ratio of a trailer and tractor mp/mt . The results of experimental research on acceleration and constant speed regimes in a cultivated soil and stubble are presented. The dependencies of slippage on the ratio of trailer and tractor mass and the weight utilisation coefficient of a tractor and trailer are viewed.
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Rahevar, Maharshi, and Sachin Darji. "THE ADOPTION OF AI-DRIVEN CHATBOTS INTO A RECOMMENDATION FOR E-COMMERCE SYSTEMS TO TARGETED CUSTOMER IN THE SELECTION OF PRODUCT." International Journal of Management, Economics and Commerce 1, no. 2 (2024): 128–37. http://dx.doi.org/10.62737/m1vpdq75.
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The research looks into the Adoption of AI-Driven chatbots into a recommendation for E-Commerce systems to targeted customer in the selection of product, particularly their function in product selection and overall customer experience. The study is based on five assumptions: improved product selection accuracy, increased user happiness, influence on customer engagement and purchase decisions, enhanced user experience and retention rates, and effect on consumer trust. The findings show that AI-powered chatbots greatly improve product selection accuracy, with a regression weight of 0.693 and a beta coefficient of 0.480, representing a 48% improvement per unit of implementation. User satisfaction has also significantly improved, as evidenced by a regression weight of 0.897 and a beta coefficient of 0.840, both with high statistical significance. Chatbots have a favourable impact on consumer engagement and purchasing decisions, as indicated by substantial regression weights and beta coefficients for each variable. AI chatbots improve user experience and retention, as evidenced by high regression weights and R² values. Finally, chatbots improve customer trust, with a regression weight of 0.447 and a beta coefficient of 0.200. Overall, the study shows that AI-powered chatbots significantly increase several aspects of e-commerce, including product selection accuracy, user pleasure, engagement, retention, and trust.
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Zou, Zhongliang, and Qiwu Yan. "Artificial Intelligence Algorithm-Based Arrangement Optimization of Structural Isolation Bearings." Applied Sciences 12, no. 24 (2022): 12629. http://dx.doi.org/10.3390/app122412629.
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The determination of an isolation-bearing scheme usually depends on experience, and needs numerous iterative calculations, especially when considering many factors such as total cost of the scheme, various design indicators, eccentricity of stiffness center of isolation bearings and the center of gravity of superstructure, and so on. Moreover, during the usual optimization process, the isolation scheme is often limited in several kinds of sizes and fixed predetermined distribution of types of isolation bearings based on experience or trial calculations due to computational efficiency, which would make it incapable of exploring other possible schemes. In this paper, artificial intelligence technology is applied to optimize the layout of isolation bearings. Types of isolation bearings are predicted through a Convolutional Neural Network, and sizes of isolation bearings are optimized by Hunter–prey optimization algorithm to improve computational efficiency and optimal arrangements of bearings. To simplify the optimization process, an optimization objective function considering a seismic decrease coefficient, story drift ratio and total cost of isolation bearings is proposed. In this function, weight coefficients reflect significance of various factors during the optimization process. In order to investigate influence of different combinations of weight coefficients on the optimal layout, 12 groups of combinations of weight coefficients are designed and analyzed. The results show that the optimal layout method of isolation bearings based on the artificial intelligence algorithm has good convergence efficiency of optimization and makes it possible to search more practical isolation scheme with good performance. When focusing on total cost of bearings, the ideal weight coefficient of the total cost would be larger than 0.4. While the structural performance factors are mainly considered, the weight coefficient of the maximum story drift ratio or seismic decrease coefficient should be larger than 0.2. For factors that designers pay more attention to, the corresponding weight coefficient should be larger than others.
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Striolo, A., J. Ward, J. M. Prausnitz, et al. "Molecular Weight, Osmotic Second Virial Coefficient, and Extinction Coefficient of Colloidal CdSe Nanocrystals." Journal of Physical Chemistry B 106, no. 21 (2002): 5500–5505. http://dx.doi.org/10.1021/jp020170t.
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Shi, LiBao, H. L. Ding, and Zhao Xu. "Determination of Weight Coefficient for Power System Restoration." IEEE Transactions on Power Systems 27, no. 2 (2012): 1140–41. http://dx.doi.org/10.1109/tpwrs.2011.2180172.
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Donici, Alina, Florin Dumitru Bora, Aurel Ciubuca, Viorica Enache, and Gabriel Tabaranu. "New Vine Varieties for High Quality White Wine Production at RDSVV Bujoru." Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca. Horticulture 73, no. 2 (2016): 234. http://dx.doi.org/10.15835/buasvmcn-hort:12247.
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The degree of fertility coefficient absoltul (CFA) and coefficient ratio (CFR) we can see that the highest values were obtained from the variety 'Fetească regală' (54.5 ± 1.00% fertility; 1.60 ± 1.00 coefficient absolute (CFA ) and 0.86 ± 1.00 coefficinet relative (CFR). The analysis of physical-mechanical based on the results it can be seen that the variety 'Bujoru' showed the best values for all parameters analyzed (303.5 ± 1.0 (g) the average weight of the grape bunch, 278.07 ± 1.0 (g) weight of 100 berries; 213.66 ± 0.67 (g / L) sucrose sugar concent and 4.331 ± 1.0 (kg / comes) average coming production).
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Fotiric, Milica, Dragan Nikolic, and Vera Rakonjac. "Variability components and heritability of pomological and chemical characteristics in sour cherry clones of cultivar Montmorency." Genetika 39, no. 3 (2007): 297–304. http://dx.doi.org/10.2298/gensr0703297f.
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In 12 sour cherry clones of cultivar Montmorency 5 pomological (fruit length, fruit width, fruit weight, stone weight and fruit stem length) and 4 chemical characteristics (soluble solid content, total acid content, invert sugar content and total sugar content) were investigated. Based on results of analysis of variance for all examined characteristics, variability components, coefficients of genetic and phenotypic variation and coefficient of heritability in a broader sense were calculated. Considering components of total variability, year represented the component that caused variability of majority examined characteristics in the highest percentage. Coefficients of genetic variation showed that in investigated clones total acid content varied the least (CVg = 1.79%), and the most fruit weight (CVg = 11.41%). The lowest phenotypic varying was determined for fruit length (CVf = 4.01%) but the highest for fruit weight (CVf = 13.86%). Coefficient of heritability was the highest for stone weight (h2 = 70.27%), and the lowest for total acid content (h2 = 7.73%).
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Nahay, John Michael. "Differential resolvents of minimal order and weight." International Journal of Mathematics and Mathematical Sciences 2004, no. 54 (2004): 2867–93. http://dx.doi.org/10.1155/s016117120440235x.
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We will determine the number of powers ofαthat appear with nonzero coefficient in anα-power linear differential resolvent of smallest possible order of a univariate polynomialP(t)whose coefficients lie in an ordinary differential field and whose distinct roots are differentially independent over constants. We will then give an upper bound on the weight of anα-resolvent of smallest possible weight. We will then compute the indicial equation, apparent singularities, and Wronskian of the Cockleα-resolvent of a trinomial and finish with a related determinantal formula.
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Williams, Brandon. "Vector-valued Eisenstein series of small weight." International Journal of Number Theory 15, no. 02 (2019): 265–87. http://dx.doi.org/10.1142/s1793042119500118.
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We study the (mock) Eisenstein series [Formula: see text] of weight [Formula: see text] for the Weil representation on an even lattice, defined as the result of Bruinier and Kuss’s coefficient formula for the Eisenstein series naively evaluated at [Formula: see text]. We describe the transformation law of [Formula: see text] in general. Most of this paper is dedicated to collecting examples where the coefficients of [Formula: see text] contain interesting arithmetic information. Finally, we make a few remarks about the case [Formula: see text].
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Karim, A. I. A. El, J. B. Owen, and C. J. Whitaker. "Measurement on slaughter weight, side weight, carcass joints and their association with carcass composition of two types of Sudan Desert sheep." Journal of Agricultural Science 110, no. 1 (1988): 65–69. http://dx.doi.org/10.1017/s0021859600079703.
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SummaryRelationships between slaughter weight, side weight, linear carcass measurements, carcass joints, carcass composition, and prediction equations for carcass composition have been established for Sudan Desert lambs.Of the carcass linear measurements, chest depth had the highest coefficient of correlation with slaughter weight (r = 0·62) and side weight (r = 0·64) followed by the circumference of the buttocks with correlation coefficients of 0·49 and 0·63 respectively.Correlation coefficients between percentage tissue in the side and percentage tissue in the different joints showed that percentage lean in middle neck and shoulder, leg and best end, in this order were strongly associated with percentage lean in side (P < 0·001). Percentage bone in middle neck and shoulder, leg and loin was positively associated with percentage bone in the side. Fat in leg and best end neck gave a significant correlation (P < 0·001) with percentage fat in the side.Trivariate regression equations for prediction of carcass composition were calculated for both sexes in the two breed types and the best end neck joint was found to be the best practical predictor with R2a (adjusted coefficient of determination) of 0·81–0·98 for lean prediction and 0·70–0·92 for fat prediction.
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Robertson, H. T., J. Whitehead, and M. P. Hlastala. "Diffusion-related differences in elimination of inert gases from the lung." Journal of Applied Physiology 61, no. 3 (1986): 1162–72. http://dx.doi.org/10.1152/jappl.1986.61.3.1162.
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Partial pressures of intravenously infused acetylene, Freon 22, and isoflurane (gases with similar solubilities in blood but differing molecular weights) were compared in arterial and mixed venous blood and mixed expired gas of 13 anesthetized mongrel dogs to determine whether gas molecular weight influenced gas exchange. Analysis of covariance was used to account for the variables of ventilation-perfusion ratio, partition coefficient, and experimental run before individual gas effects were sought. A gas effect difference was observed such that the arterial fractional retention of isoflurane (mol wt 184.5) would be 12% higher than that of acetylene (mol wt 26) if the two gases had identical partition coefficients. This effect was neither significantly increased by positive end-expiratory pressure nor decreased by high-frequency oscillatory ventilation. To test whether the individual gas effect was greater with gases with disparate erythrocyte and plasma partition coefficients, the exchange of ethyl iodide (erythrocyte-to-plasma solubility ratio 8.1) and diethyl ether (solubility ratio 0.95) was compared in five dogs. A larger difference between the elimination of the two gases was observed than predicted from the differences in molecular weight. The observed individual gas effect appears to be diffusion related, influenced both by the molecular weight of a gas and its erythrocyte-plasma partition coefficient ratio.
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Pang, Ying Han, Anak Perempuan Raja Sekaran Sarmela, Shih Yin Ooi, and Teck Guang Tan. "Principal coefficient encoding for subject-independent human activity analysis." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 4 (2022): 4391–99. https://doi.org/10.11591/ijece.v12i4.pp4391-4399.
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Tracking human physical activity using smartphones is an emerging trend in healthcare monitoring and healthy lifestyle management. Neural networks are broadly used to analyze the inertial data of activity recognition. Inspired by the autoencoder neural networks, we propose a layer-wise network, namely principal coefficient encoder model (PCEM). Unlike the vanilla neural networks which apply random weight initialization and back-propagation for parameter updating, an optimized weight initialization is implemented in PCEM via principal coefficient learning. This principal coefficient encoding allows rapid data learning with no back-propagation intervention and no gigantic hyperparameter tuning. In PCEM, the most principal coefficients of the training data are determined to be the network weights. Two hidden layers with principal coefficient encoding are stacked in PCEM for the sake of deep architecture design. The performance of PCEM is evaluated based on a subject-independent protocol where training and testing samples are from different users, with no overlapping subjects in between the training and testing sets. This subject-independent protocol can better assess the generalization of the model to new data. Experimental results exhibit that PCEM outperforms certain state-of-the-art machine learning and deep learning models, including convolutional neural network, and deep belief network. PCEM can achieve ~97% accuracy in subject-independent human activity analysis.
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Zhang, Shao Zhong, and Hai Dong Zhong. "Study on E-Commerce Trust Prediction Mode Based on Combination Parameters." Applied Mechanics and Materials 241-244 (December 2012): 2944–52. http://dx.doi.org/10.4028/www.scientific.net/amm.241-244.2944.
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Based on the prediction of individual parameter and the theory of the correlation coefficient, it proposes a combination parameter trust prediction model to solve the parameter weights. The model takes correlation coefficient as the weight of the single parameter, and trust evaluation and prediction analysis is conducted in the form of combined indictors. The method of taking the single item parameters as the foundation of forecasting can increase a variety of items in the forecast parameters dynamically. At the same time, using correlation coefficient as the form of weight can maximize the weights of some parameters with high accuracy and reduce the weight of some parameters with poor accuracy. At last, an optimization algorithm of combination parameters prediction model is designed, and experiments show that the proposed combination parameters trust prediction model of e-commerce has a better accuracy compared to several other typical prediction models.
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Valencia, Drochss P., and Felipe J. González. "Estimation of diffusion coefficients by using a linear correlation between the diffusion coefficient and molecular weight." Journal of Electroanalytical Chemistry 681 (August 2012): 121–26. http://dx.doi.org/10.1016/j.jelechem.2012.06.013.
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Memic, Emir, Simone Graeff, Kenneth J. Boote, Oliver Hensel, and Gerrit Hoogenboom. "Cultivar Coefficient Estimator for the Cropping System Model Based on Time-Series Data: A Case Study for Soybean." Transactions of the ASABE 64, no. 4 (2021): 1391–402. http://dx.doi.org/10.13031/trans.14432.
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HighlightsSoftware was developed for estimation of DSSAT CSM-CROPGRO-Soybean cultivar coefficients.Phenology-related coefficients were estimated based on observed phenological events.Growth-related cultivar coefficients were estimated based on time-series observations.Cultivar coefficients were optimized based on single- and multiple-experiment data sets.Abstract. The Decision Support System for Agrotechnology Transfer (DSSAT) is one of the most popular software solutions for predicting crop growth and yield while capturing the effects of management practices and interactions between the crop and the environment. Accurate estimation of the crop cultivar coefficients that govern in-season growth and development is critical for correct yield estimates. The manual cultivar coefficient estimation process is time-consuming and results in user-dependent, subjective optimums that are difficult to reproduce. Typically, end-of-season observations (point-based) are used for estimating dynamic in-season biomass accumulation rates. The objective of this study was to develop a time-series estimator (TSE) capable of using multiple in-season observations for estimating the coefficients that define in-season growth and biomass partitioning. Using the TSE, cultivar coefficients were estimated based on multiple in-season observations of leaf area index (LAI) and shoot, leaf, and grain dry matter weights. The cultivar coefficients were estimated from single- and multiple-treatment (seasons and locations) in-season observations. This was done for two cultivars for six management × environment combinations. Estimated multiple-treatment based cultivar coefficients were evaluated with an independent data set and compared to DSSAT standard (manual) coefficients and the cultivar coefficients estimated with the GLUE method. The average normalized root mean squared error (nRSME) for LAI and shoot, leaf, and grain weights was 26% lower for one cultivar and about the same for the other cultivar when compared to the DSSAT standard. Because GLUE uses end-of-season point-based cultivar coefficient estimation, the grain weight over time was underestimated in earlier phases and more accurate toward harvest. The TSE-estimated cultivar coefficients based on 346 in-season observations across multiple target variables and six experiments more accurately reflected in-season growth and grain weight without compromising final grain weight predictions. Keywords: . CROPGRO-Soybean, DSSAT, Genetic coefficients, Normalized root mean square error minimization, Time-seris observations.
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Min, Ziyang, Yongqi Li, Xiaoxia Han, Zhuqing Zhang, Zuhua Yuan, and Xinjun Hu. "Analysis of main botanical characters of 56 Momordica charantia varieties." Trends in Horticulture 5, no. 1 (2021): 1. http://dx.doi.org/10.24294/th.v5i1.1811.
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In order to scientifically evaluate the germplasm resources of Momordica charantia in southern China, the diversity, correlation and cluster analysis were carried out on the main botanical characters of 56 Momordica charantia varieties, such as melon length, melon transverse diameter, single melon weight, internode length, stem diameter, leaf length and leaf width. The results showed that the variation coefficients of 7 agronomic characters of 56 Momordica charantia varieties ranged from 8.81% to 19.44%, the average variation coefficient was 14.21%, the maximum variation coefficient of single melon weight was 19.44%, and the minimum variation coefficient of melon cross diameter was 8.81%. The correlation analysis showed that there were correlations among the agronomic traits. The positive correlation coefficient between leaf length and leaf width was up to 0.978, and the negative correlation coefficient between single melon weight and internode length was up to 0.451. The 56 varieties were divided into 3 groups by cluster analysis, of which 92.86% of the materials were concentrated in the first and second groups, and there were only 4 materials in the third group. The results can provide a reference for the cultivation, utilization and genetic improvement of Momordica charantia resources in southern China.
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Parker, James C., and Mary I. Townsley. "Physiological determinants of the pulmonary filtration coefficient." American Journal of Physiology-Lung Cellular and Molecular Physiology 295, no. 2 (2008): L235—L237. http://dx.doi.org/10.1152/ajplung.00064.2008.
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Current emphasis on translational application of genetic models of lung disease has renewed interest in the measurement of the gravimetric filtration coefficient ( Kf) as a means to assess vascular permeability changes in isolated perfused lungs. The Kf is the product of the hydraulic conductivity and the filtration surface area, and is a sensitive measure of vascular fluid permeability when the pulmonary vessels are fully recruited and perfused. We have observed a remarkable consistency of the normalized baseline Kf values between species with widely varying body weights from mice to sheep. Uniformity of Kf values can be attributed to the thin alveolar capillary barrier required for gas exchange and the conserved matching of lung vascular surface area to the oxygen requirements of the body mass. An allometric correlation between the total lung filtration coefficient ( Kf,t) and body weight in several species ( r2 = 1.00) had a slope that was similar to those reported for alveolar and pulmonary capillary surface areas and pulmonary diffusion coefficients determined by morphometric methods in these species. A consistent Kf is dependent on accurately separating the filtration and vascular volume components of lung weight gain, then Kf is a consistent and repeatable index of lung vascular permeability.
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SASAOKA, Kumiko. "Weight Coefficient of the Hazel Grouse's Egg in Captivity." Japanese Journal of Ornithology 37, no. 2 (1988): 84–85. http://dx.doi.org/10.3838/jjo.37.84.
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Krasilnikov, A. I. "Analysis of Cumulant Coefficients of Two-Component Mixtures of Shifted Non-Gaussian Distributions." Èlektronnoe modelirovanie 43, no. 5 (2021): 73–92. http://dx.doi.org/10.15407/emodel.43.05.073.
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The dependence of the cumulant coefficients of two-component mixtures of shifted non- Gaussian distributions on the weight coefficient is analyzed and conditions are determined under which the cumulant coefficients of any orders are equal to zero. The dependence of the cumulant coefficients of two-component mixtures on the shear parameter is investigated and the parameter values are determined at which the cumulant coefficients of any orders have extrema and zeros. The dependence of the skewness and excess kurtosis of a two-component mixture of shifted Gumbel distributions of type 1 on the weight coefficient and the shear parameter is investigated and their values are obtained at which the skewness and excess kurtosis of the mixture are equal to zero. The features of computer modeling of random variables, the probability density of which is a two-component mixture of shifted distributions, are considered.
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Stass, V. L. "A Method to Determine the Feed Conversion Coefficient in Farm Pigs." Journal of Agricultural Science 15, no. 9 (2023): 117. http://dx.doi.org/10.5539/jas.v15n9p117.
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The aim of this study was to find out a formula for the feed conversion coefficient which is applicable solely to farm pigs. The study was performed by applying a hybrid model of growth of pigs. The model of growth of animals in this research was not advanced, it was published elsewhere. In this study only necessary equations of the model were used. Feed conversion coefficient is a complicated trait. In this research the usually used formula of feed conversion coefficient was revised and transformed. In the study three features of feed conversion were analysed. The reason to distinct the three case studies was that the feed conversion coefficient differs in the same weight pigs under condition that one is a growing animal but other reached its maximum weight. The first case study concerns pigs that reached their maximum weight. The second case study concerns growing animals in a limited weight range. Third one considers a general case; weight range from weaning up to maximum weight. There are three results in this study. The first one suggests a formula for the average feed conversion coefficient in pigs which reached their maximum weight. The second result suggests a formula of the average feed conversion coefficient for growing animals in a limited weight range. Third result suggests a formula of the average feed conversion coefficient for pigs in any weight range between 30 &plusmn; 6 kg, and maximum weight.
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Li, Weibin, Gerald Kagan, Huan Yang, et al. "Accurate Formula Weight Determination in Physically Separated Systems by Diffusion Coefficient−Formula Weight Correlation." Organometallics 29, no. 6 (2010): 1309–11. http://dx.doi.org/10.1021/om901102b.
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Makino, Shigenori, and Hirotoshi Iwata. "Changes in the Coefficient Variations of Live Birth Weight in Japan, 1969-1985." Asia Pacific Journal of Public Health 3, no. 4 (1989): 285–90. http://dx.doi.org/10.1177/101053958900300407.
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The present study was conducted on changes in the coefficient variations of live birth weight and in the proportion of singleton live birth weight by gestational age using vital statistics compiled by the Japanese government from 1969 to 1985. The coefficient variations of live birth weight declined between 1969 and 1977-78 and then increased. The coefficient variations of live birth weight were affected by the percentage of low birth weight infants. The decline in the coefficient variations depends on the decrease of low birth weight infants, while the increase in the coefficient variations depends on the increase of low birth weight infants. Recently, the proportion of low birth weight infants has increased in Japan. Perinatal mortality rates, which indicate the level of maternal and child health, have decreased annually.
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Abdirakhmanovich, Akramov Tokhir. "Analysis of the possibilities of developing marketing strategies at enterprises of the automobile industry." Frontline Marketing, Management and Economics Journal 5, no. 2 (2025): 30–32. https://doi.org/10.37547/marketing-fmmej-05-02-04.
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The article discusses the need to develop a marketing strategy for the automobile industry of the Republic of Uzbekistan, proposes a model of marketing strategy, as well as a standard model for determining the regression weight coefficient. Key words: strategy, marketing strategy, marketing strategy development models, marketing strategy structure, regression weight coefficients.
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Seo, Janghoon, and Dong-Woo Park. "Numerical Study on the Effect of Weight Variables on the Roll Damping Coefficients for a Fishing Vessel." Polish Maritime Research 31, no. 3 (2024): 4–14. http://dx.doi.org/10.2478/pomr-2024-0031.
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Abstract The roll damping coefficient is essential when considering the viscous effect in the potential-based hydrodynamic analysis of fishing vessels; it is an important factor in the roll motion response. The present study performs free roll decay simulations, altering weight variables using Computational Fluid Dynamics (CFD) to investigate the correlation between the roll damping coefficient and the weight variation of a fishing vessel. The time series of roll amplitude and roll damping coefficient are compared, for varying vertical and longitudinal centres of gravity and radii of gyration in roll motion. As the vertical centre of gravity increases, both the roll decay period and the roll damping coefficient also increase. The roll decay period tends to increase with the increase in the radius of gyration during roll motion, while the roll damping coefficient exhibits a decrease. A longitudinal centre of gravity has a limited effect on free roll decay characteristics. The roll damping coefficients between the maximum and minimum combinations of weight variables show significant differences. The findings of the present study could enhance the understanding of the safety of fishing vessels based on their loading conditions. Consequently, future research could further improve the results obtained in the present study by considering various hull shapes and speeds.
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Bosscher, Georgia, Andrea Tomas, Denis Marcellin-Little, B. Duncan Lascelles, and Simon Roe. "Repeatability and accuracy testing of a weight distribution platform and comparison to a pressure sensitive walkway to assess static weight distribution." Veterinary and Comparative Orthopaedics and Traumatology 30, no. 02 (2017): 160–64. http://dx.doi.org/10.3415/vcot-16-09-0128.
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SummaryObjective: To evaluate the accuracy and repeatability of measurements collected using a weight distribution platform and a pressure sensitive walkway using an inanimate object with known weight distribution.Methods: A custom-built jig with a range of weights was applied in a random order. Measurements were collected on both devices and compared to each other and to the known weight distribution.Results: Weight distribution platform and pressure sensitive walkway measurements were highly correlated to each other (Pearson’s correlation coefficient R = 0.98) and to actual weights (R = 0.99 for the weight distribution platform; 0.98 for the pressure sensitive walkway). Repeatability from day to day for both devices was greater than 0.99. For the weight distribution platform, the 95% confidence interval was ± 2.5% from the true percentage and ± 3.3% for the pressure sensitive walkway. The coefficient of variation (COV) was highest for both devices at the lightest weights (weight distribution platform 11.28%, pressure sensitive walkway 16.91%) and lowest with the heaviest weights (weight distribution platform 3.71%, pressure sensitive walkway 5.86%).Conclusion: Both the weight distribution platform and the pressure sensitive walkway provided accurate and consistent measures of weight distribution with no significant difference between devices. The rounded standard error was three percent for the weight distribution platform, and four percent for the pressure sensitive walkway. The higher variability when measuring the smallest weight suggests less accuracy at lower weights with both devices.Clinical significance: The weight distribution platform is a repeatable and accessible device to measure static weight distribution, and if proven the same in a clinical setting, it will be a valuable addition to current objective measures of limb use.
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Jin, Yongchao, Renfang Wang, Xiaodie Zhuang, et al. "Prediction of COVID-19 Data Using an ARIMA-LSTM Hybrid Forecast Model." Mathematics 10, no. 21 (2022): 4001. http://dx.doi.org/10.3390/math10214001.
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The purpose of this study is to study the spread of COVID-19, establish a predictive model, and provide guidance for its prevention and control. Considering the high complexity of epidemic data, we adopted an ARIMA-LSTM combined model to describe and predict future transmission. A new method of the ARIMA-LSTM model paralleling by weight of regression coefficient was proposed. Then, we used the ARIMA-LSTM model paralleling by weight of regression coefficient, ARIMA model, and ARIMA-LSTM series model to predict the epidemic data in China, and we found that the ARIMA-LSTM model paralleling by weight of regression coefficient had the best prediction accuracy. In the ARIMA-LSTM model paralleling by weight of regression coefficient, MSE = 4049.913, RMSE = 63.639, MAPE = 0.205, R2 = 0.837, MAE = 44.320. In order to verify the effectiveness of the ARIMA-LSTM model paralleling by weight of regression coefficient, we compared the ARIMA-LSTM model paralleling by weight of regression coefficient with the SVR model and found that ARIMA-LSTM model paralleling by weight of regression coefficient has better prediction accuracy. It was further verified with the epidemic data of India and found that the prediction accuracy of the ARIMA-LSTM model paralleling by weight of regression coefficient was still higher than that of the SVR model. In the ARIMA-LSTM model paralleling by weight of regression coefficient, MSE = 744,904.6, RMSE = 863.079, MAPE = 0.107, R2 = 0.983, MAE = 580.348. Finally, we used the ARIMA-LSTM model paralleling by weight of regression coefficient to predict the future epidemic situation in China. We found that in the next 60 days, the epidemic situation in China will become a steady downward trend.
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A. Abu Saleem, Rabie, Nisrin Abdelal, Ahmad Alsabbagh, Maram Al-Jarrah, and Fatima Al-Jawarneh. "Radiation Shielding of Fiber Reinforced Polymer Composites Incorporating Lead Nanoparticles—An Empirical Approach." Polymers 13, no. 21 (2021): 3699. http://dx.doi.org/10.3390/polym13213699.
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In the present work, an empirical approach based on a computational analysis is performed to study the shielding properties of epoxy/carbon fiber composites and epoxy/glass fiber composites incorporating lead nanoparticle (PbNPs) additives in the epoxy matrix. For this analysis, an MCNP5 model is developed for calculating the mass attenuation coefficients of the two fiber reinforced polymer (FRP) composites incorporating lead nanoparticles of different weight fractions. The model is verified and validated for different materials and different particle additives. Empirical correlations of the mass attenuation coefficient as a function of PbNPs weight fraction are developed and statistically analyzed. The results show that the mass attenuation coefficient increases as the weight fraction of lead nanoparticles increases up to a certain threshold (~15 wt%) beyond which the enhancement in the mass attenuation coefficient becomes negligible. Furthermore, statistical parameters of the developed correlations indicate that the correlations can accurately capture the behavior portrayed by the simulation data with acceptable root mean square error (RMSE) values.
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Urun, Samet, and Emre Şirin. "Determination of the effect of pre-mating weight and placental characteristics on birth weight in Karayaka sheep." Archives Animal Breeding 66, no. 4 (2023): 335–40. http://dx.doi.org/10.5194/aab-66-335-2023.
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Abstract. The aim of this study was to determine the effect of the pre-mating weight and placental characteristics on birth weight. Data were collected from 62 Karayaka ewes and 70 Karayaka lambs. The placental characteristics considered were placental weight, placental area and the number of cotyledons. The Pearson correlation coefficient was used for statistical comparison and the determination of relationships between variables. In addition, correlation coefficients between live weights and placental characteristics were determined. The average birth weight (BW), pre-mating weight (PMW), placental weight (PW), placental area (PA) and cotyledon number (CN) values were 4.37 ± 0.70 kg, 50.22 ± 5.63 kg, 362.51 ± 118.42 g, 994.18 ± 312.76 cm2 and 56.93 ± 8.06, respectively. BW had positive correlations with PMW (0.147), birth type (BT) (0.643), PW (0.604), PA (0.323) and CN (0.161) (P < 0.05). BW had negative correlations with maternal age (MA) (−0.119) (P < 0.05). PMW had positive correlations with maternal age (MA) (0.237) (P < 0.05). PMW had negative correlations with S (sex) (−0.003), PW (−0.049), PA (−0.067) and CN (−0.080) (P > 0.05).
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Hameed, Hassanain Ghani. "INVESATIGATION THE EFFECT OF SIZE AND WEIGHT ON DRAG COEFFICIENT FOR FREE FALLING OF BALLS." Kufa Journal of Engineering 2, no. 1 (2014): 40–53. http://dx.doi.org/10.30572/2018/kje/211292.
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The research aims to determine the drag coefficient for the free falling bodies with different size and weight using Infra Red transmitter and receiver circuits. The effects of size and weight on free falling bodies were studied. Carbon steel spheres with diameter of (0.8 – 8)mm and glass spheres with diameter of (0.5 – 17)mm, with different densities, were considered. The relation between velocity and displacement was obtained from the experimental results, the drag coefficient was calculated after the establishment of the terminal velocity for free falling bodies. The relation between drag coefficients and Reynolds number were determined and compared with results of previous work.
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., JAGSHORANI. "ESTIMATION OF VARIABILITY PARAMETERS AND PATH COEFFICIENTS FOR SOME QUANTITATIVE CHARACTERS IN HILL WHEATS." Madras Agricultural Journal 82, june augest (1995): 441–44. http://dx.doi.org/10.29321/maj.10.a01227.
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Fifty hill wheats along with three checks (Kalyansona, Sonalika and VL 421) were evaluated to work out phenotypic and genotypic coefficient of variations (PCV, GCV) heritability. genetic advance (GA) and path coefficients for 12 matric traits. High estimates of PCV, GCV, heritability and GA indicated substantial genetic variability and scope for selection for grain weight/spike, 1000 grain weight, grains/spike, grain yield/plant, harvest index, biological yield/plant, spikes/plant and tillers/plant in the experimental material. There was little variability and scope for improvement through selection for days to 50 per cent flowering, days to maturity, spikelets/spike and plant height. Path coefficient analysis revealed importance of harvest index, biological yield/plant, 1000 grain weight and spikes/plant for improving grain yield/plant.
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Carrilho, Thais, Kathleen Rasmussen, Dayana Farias, et al. "Agreement Between Self-Reported Pre-Pregnancy Weight and Weight Measured During the First Trimester of Pregnancy: A Comparison of Research and Administrative Data." Current Developments in Nutrition 4, Supplement_2 (2020): 953. http://dx.doi.org/10.1093/cdn/nzaa054_025.
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Abstract Objectives To assess the agreement between self-reported pre-pregnancy weight (SRPW) and weight measured up to the 6th, 8th, and 13th weeks among Brazilian women in research and administrative datasets. Methods Data from the Brazilian Maternal and Child Nutrition Consortium (BMCNC) (n = 5563), with gestational information from the last 30 y in Brazil, and data from the Brazilian Food and Nutrition Surveillance System (SISVAN) from 2008–2018 (n = 38,678) were used. The SRPW was compared to the weight measured up to the 6th, 8th and 13th gestational weeks. The analyses were conducted separately for each source of data and, within each, they included a comparison between the mean SRPW and the measured weights; determination of Pearson's, Lin's and intra-class correlation coefficient for the SRPW and the weights measured in first trimester; construction of Bland and Altman plots, and calculation of the Kappa coefficient to assess the impact of using each type of weight on women's pre-pregnancy body mass index (BMI) classification. Results The mean difference between SRPW and measured weights was &lt;2 kg at all the compared gestational weeks for both the BMCNC and SISVAN datasets and all the coefficients were above 0.90 (P &lt; 0.001). Bland-Altman plots revealed no systematic differences between the measurements but the differences between those were elevated for some women (&gt;5 kg in ∼16% in the BMCNC and ∼10% in the SISVAN data). The Kappa coefficients revealed high agreement (BMCNC: 0.87, 0.86 and 0.84; SISVAN: 0.80, 0.79 and 0.75, for the 6th, 8th, and 13th weeks, respectively) for pre-pregnancy BMI classification. The difference in the prevalence of women in each BMI category was &lt;5% for both datasets and each gestational week studied, regardless of whether SRPW or first-trimester weight was used to determine BMI. Conclusions There was a high agreement between SRPW and the weight measured during the 1st trimester in both research and administrative data. Also, the difference in BMI classification when each weight was used was very low. Thus, the use of SRPW is possible when there is no measured weight at the beginning of pregnancy. This is an advantage, especially in low- and middle-income countries, where many women do not start prenatal care during the first trimester. Funding Sources Brazilian National Council for Scientific and Technological Development, Bill and Melinda Gates Foundation.
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Tyagi, Anand Prakash, and Praduman Lal. "Correlation and path coefficient analysis in sugarcane." South Pacific Journal of Natural and Applied Sciences 25, no. 1 (2007): 1. http://dx.doi.org/10.1071/sp07001.
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Correlation and path coefficient analysis was undertaken among agronomic and bio-chemical characters of importance in sugarcane. Correlation between agronomic characters revealed positive and significant (P = 0.01) correlation between plant volume and number of millable stalks (0.874), plant volume and weight per stalk (0.812), plant volume and weight of millable stalks (0.962), plant volume and stalk thickness (0.842), number of millable stalks and weight of millable stalks (0.889) and other agronomic characters. There was a non-significant but positive correlation between number of millable stalks refractrometer brix (0.05), number of millable stalks and stalk height (0.285) and other characters. In case of bio-chemical characters, positive and significant (P = 0.01) correlation was recorded between Pure Obtainable Cane Sugar (POCS) and pol (0.901), POCS and purity (0.763) and pol and purity (0.780). Negative but non-significant correlation was observed between POCS and fibre. Correlation studies indicate that for sugarcane yield plant volume, plant height, number of millable stalks per stool, stalk thickness and weight of millable stalks are the most important characters. However, for biochemical characters POCS, pol and purity are the most important characters. Path coefficient analysis in the case of agronomic characters showed revealed that the weight of millable stalks was the most important character with the highest direct effect on sugarcane yield followed by stalk height, number of millable stalks and stalk thickness among agronomic traits. In bio-chemical characters highest direct effect was on percent POCS followed by percent purity and percent fibre. In nutshell correlation and path coefficient analysis in present study suggests that clones or varieties with high plant volume, plant height, and other agronomic characters should be used in hybridization programme.
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Rashidi, A., M. Almasi, and M. Razmkabir. "Estimation of inbreeding coefficient and its effects on birth weight and kid survival in Markhoz goats." Journal of Zankoy Sulaimani - Part A 16, special (2013): 189–96. http://dx.doi.org/10.17656/jzs.10321.
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Chen, Jin Jing, and Zheng Guo. "The Acoustic Insulation Property of a New Non-Woven Material." Advanced Materials Research 194-196 (February 2011): 471–75. http://dx.doi.org/10.4028/www.scientific.net/amr.194-196.471.
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The acoustic insulation and hydrophobic properties of a new non-woven material were analyzed and discussed in this paper. The new non-woven material absorbs sound energy to transfer into heat energy by friction between viscosity of air near fiber and fiber. The acoustic insulation properties of the new non-woven material, polyurethane foam and felt were measured. With the same thickness and half weight of felt, the sound absorption coefficient of non-woven was 20~30% higher than felt. Further more, with the same weight of felt, the sound absorption coefficient of non-woven was50~60% higher than felt. However, the sound absorption coefficients of non-woven materials with different thickness and weight were also discussed. The amount of the sound absorption coefficient gradient increased with the increase of thickness and frequency. Comparing the existing sound absorption materials, the new non-woven material has high sound absorption, light weight, hydrophobic property, workability, and flame resistance property. The non-woven material can improved thermal insulation and sound absorption by combining conventional non-woven with aluminum evaporated film.So the new nonwoven material has been widely applied in industries to reduce noises, especially in the car.
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Wang, Shijie, Shutao Zhang, Jianning Su, et al. "Fuzzy Relationship between Kansei Images: A Grey Decision-Making Method for Product Form." Applied Sciences 14, no. 13 (2024): 5728. http://dx.doi.org/10.3390/app14135728.
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Current design decision-making methods ignore the fuzzy relationship between Kansei images, and the use of constant weights reduces the accuracy of cognitive evaluation results. To solve these problems, this paper proposes a grey decision-making method for product form driven by the fuzzy relationship between Kansei images. First, according to the initial weight of the Kansei images, variable weight theory is used to determine the Kansei image variable weights of the samples, and the variable weight comprehensive evaluation results for each sample are obtained. Then, based on the correlation and angle of the Kansei images, a cobweb diagram is drawn to represent the fuzzy relationship between the Kansei images of each sample. Combined with the cobweb grey target decision-making model (CGTDM) for multiple Kansei images, decision coefficients are calculated. The decision coefficients are compared and ranked to determine the relatively optimal design reference sample. Finally, the constructed model is compared with the CGTDM for multiple Kansei images and TOPSIS. The results show that the difference coefficient of the proposed method is the largest, and it can reflect the decision-making thinking of the designers and improve the discrimination among the decision-making results to a certain extent.
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Lal, S., O. C. Sharma, and D. B. Singh. "Genetic diversity and character association analysis based on pomological traits in olive (Olea europaea L.)." Journal of Applied and Natural Science 9, no. 3 (2017): 1551–56. http://dx.doi.org/10.31018/jans.v9i3.1400.
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Thirteen exotic genotypes of olive (Olea europaea L.) were studied for the genetic variability, correlation and path coefficient analysis for fruit quality, yield and yield contributing traits at experimental farm of ICAR-CITH, Srinagar during 2009-2013. Maximum variability was recorded for fruit yield and oil content, however, low differ-ences between the phenotypic and genotypic coefficients of variations indicated low environmental influences on the expression of these characters. High heritability coupled with high genetic advance was obtained with fruit yield per plant, acidity, fruit pulp weight, fruit weight and stone weight. Fruit weight (r=0.329), stone weight (r=0.405) and oil content (r=0.841) were the most important traits, which possessed significant positive association with fruit yield per plant. Path coefficient analysis revealed that among the different yield contributing characters oil content (0.875), fruit weight (0.797) followed by acidity (0.501), peroxides value ( 0.199) and fruit length (0.054) influenced fruit yield per plant directly. The direct effects of these characters on fruit yield were found positive and considerably very high.The selection based on fruit weight, stone weight oil content and yield per plant will be effective for enhancing the fruit and oil yieldand making future olive breeding strategies.
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Ruan, Chuan-Yang. "Hesitant Fuzzy Decision-Making Method Based on Correlation Coefficient under Confidence Levels with Application to Multisensor Electronic Reconnaissance." Mathematical Problems in Engineering 2020 (September 8, 2020): 1–9. http://dx.doi.org/10.1155/2020/9315769.
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In this paper, we focus on the hesitant fuzzy decision-making method based on correlation coefficient under confidence levels. Firstly, we propose several correlation coefficients based on confidence levels, and based on the correlation coefficient between attribute-evaluated values and the ideal values, several optimal attribute weights models are constructed. Secondly, we have defined the concepts of module, weight module, projection, and weighted projection in hesitant fuzzy sets on account of the projection theory. Finally, on the strength of our research results above, we construct a hesitant fuzzy multiattribute decision-making method and apply it to the multiattribute decision-making problem in multisensor electronic reconnaissance. Comparative analyses are made via simulation to test the rationality and validity of the proposed method.
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Karim, Md Rezaul, and Meherun Nesa. "Genetic Variability, Character Association and Path Aoefficient Analysis of Sweet Pepper (Capsicum Annuum L.) Germplasms." Journal of Science and Technology Research 3, no. 1 (2022): 95–102. http://dx.doi.org/10.3329/jscitr.v3i1.62811.
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The present investigation was carried out to investigate the genetic variability, character association, correlation and path coefficient analysis among thirty accessions of sweet pepper. Significant variations were observed for different morphological traits, yield and yield attributes among the accessions studied. For all the characters, genotypic coefficient of variation (GCV) was smaller than phenotypic coefficient of variation (PCV). The highest genotypic and phenotypic coefficients of variations were recorded in case of number of fruit per plant (46.37 and 47.66%) followed by fruit yield per plant (39.39 and 41.44%), fruit length (31.92 and 32.48%) and dry weight (31.50 and 32.00%). Correlation coefficient study indicated that fruit yield had highly significant and positive correlation with individual fruit weight (r = 0.619) and number of fruit per plant (r = 0.605). In respect of path analysis, number of fruit per plant was contributed by maximum direct effect on sweet pepper (0.603) indicating its importance as a selection parameter. J. of Sci. and Tech. Res. 3(1): 95-102, 2021
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Wang, Ke, Zhixu Dong, Long Tao Cong, Xing Wei Sun, and Meng Nan Sun. "Analysis of III-Conditioned Characteristics about Weight Location of Rotor Dynamic Balancing." Applied Mechanics and Materials 602-605 (August 2014): 670–73. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.670.
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Balancing with the influence coefficient method can eliminate rotor unbalance effectively and briefly which usually causes mechanical vibration. But the accuracy of this method is susceptible to operating condition and the structure of mechanical equipments will leads to unstable equilibrium outcomes. The theoretical study of the influence coefficient balancing method can find that the solution process of balancing weight does not involve the mechanical nature of unbalance vibration, and therefore it will be subject to greater interference of equation’s ill-conditioned characteristics. By introducing the modal superposition, vibration mode function can be linked with the influence coefficients to establish the relationship between counter weight location parameters and ill-conditioned equations. The simulation results of multiple-blade rotor shows that positions of balancing weight will exert great influence on ill-conditioned characteristics. So the position parameters should be chosen in front of balancing service reasonably.
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V.L, MATHUR. "CORRELATIONS AND PATH COEFFICIENT ANALYSIS IN FENUGREEK." Madras Agricultural Journal 83, May (1996): 278–79. http://dx.doi.org/10.29321/maj.10.a01021.
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Fifty diverge genotypes of fenugreek (Trigonella foenum graecum L.) revealed highly significant differences for morphological characters. Phenotypic and genotypic correlation showed similar trend but genotypic correlations were of higher magnitude than phenotypic. Plant height, branches per plant, pods per plant, 100-grain weight and protein content showed significant positive correlation with grain yield per plant. Path analysis revealed that plant height, number of pods per plant, number of seeds per pod and test weight are of utmost importance for contributing yield per plant in fenugreek.
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Радкевич, Алексей, Aleksey Radkevich, Александр Митькин, Aleksandr Mitkin, Б. Кулачкин, and B. Kulachkin. "ABOUT SAFETY FACTOR LOAD FOR SOIL DW IN GEOTECHNICS." Construction and Architecture 4, no. 3 (2016): 0. http://dx.doi.org/10.12737/21849.
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Reliability coefficients on loading from a body weight of metal, concrete and soil are considered. The analysis of the evolution of safety factors for load from its own weight. Noted that the safety factor of load from the weight of the soil is the main criterion of reliability and safety in Geotechnics and construction in General. Admitted blunder in SP 20.13330.2011. Heterogeneity of soil character bedding are the main characteristics that fully characterize the company according to the static sounding. The reliability coefficients for the load of its own weight soils significantly underestimated and may not be practically identical with concrete. It is recommended that you increase the value of the coefficient of reliability of load from the weight of the soil, and correct the terminology.
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Karpowicz, Monika Izabela, Marcin Klekotka, and Jan Ryszard Dąbrowski. "The Effect of the Molecular Weight of Hyaluronic Acid on the Rheological and Tribological Properties of the Base for Artificial Synovial Fluid Preparations." Acta Mechanica et Automatica 18, no. 4 (2024): 190–96. http://dx.doi.org/10.2478/ama-2024-0073.
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Abstract The synovial fluid is responsible for adequately lubricating, moisturizing, and nutritional human joints. This liquid should have appropriate viscoelastic properties and ensure a low coefficient of friction in biotribological systems. Many artificial synovial fluid preparations used in viscosupplementation treatments are based on hyaluronic acid. This work aimed to evaluate the influence of molecular weight on the functional properties of solutions based on hyaluronic acid. 1% solutions based on hyaluronic acid with five different molecular weights from 50,000 Da to 2 MDa were made. Rheological (viscosity, viscoelasticity), tribological (coefficient of friction, wear assessment), and wettability tests were carried out. Significant differences were observed in the rheological tests, where the viscosity strictly depends on the molecular weight of the hyaluronic acid. It has been shown that the molecular weight of HA has little effect on the coefficient of friction. On the other hand, the differences in the tribological wear are much more significant. The molecular weight of biopolymers is one of the essential parameters in developing new artificial synovial fluids. Using a higher molecular weight of hyaluronic acid increases viscosity and wettability, resulting in less tribological wear.