Second-order Regression Analysis Research Articles

Optimal Incorporation Level of Dietary Alternative Phosphate (MgHPO4) and Requirement for Phosphorus in Juvenile Far Eastern Catfish (Silurus asotus).

A growth trial was conducted to determine the optimal incorporation level of dietary magnesium hydrogen phosphate (MHP, MgHPO4), which was manufactured from swine manure and phosphorus (P), required by juvenile far eastern catfish (Silurus asotus). Graded MHP of 0.5%, 1.0%, 1.5%, and 2.0%, and 2.0% monocalcium phosphate (MCP) each was added to the basal diet (control) in lieu of cellulose to become the range of available P (AP) from 0.4% to 0.8% of which diets were designated as control, MHP0.5, MHP1.0, MHP1.5, MHP2.0, and MCP, respectively. Control diet contained fish meal (20%), soybean meal (40%), wheat flour (27%), corn gluten meal (5%), fish oil (2%) and soy oil (2%) as main ingredients. Following a 24 h fasting, 540 fish with a mean body weight of 11.8 g were randomly allotted to 6 groups in triplicate, whereby 18 tanks (0.4×0.6×0.36 cm, water volume of 66 L) were prepared. The feeding experiment lasted for 8 weeks. Fish group fed the control diet showed the lowest weight gain (WG) and feed efficiency (FE) among treatments. The WG was, however, not significantly different (p>0.05) from that of fish group fed MHP0.5. Fish group fed MHP2.0 showed the highest WG and FE of which values were not significantly different from those of fish groups fed diets MHP1.0 and MHP1.5 as well as MCP (p>0.05) except fish groups fed control and MHP0.5. Aspartate aminotransferase was significantly decreased with an increase in available P, while alanine aminotransferase did not show a significant difference among treatment. The highest inorganic P in plasma was observed in fish fed MHP2.0. From the present results, a second-order regression analysis revealed that the optimal dietary MHP level and the AP requirement were found to be 1.62% and 0.7%, respectively.

Length-weight relationships and prediction equations of body composition of farm raised Astyanax aff. Fasciatus (Actinopterygii: Characiformes: Characidae)

This study ascertains the length-weight relationship and predicts body composition equations in cultivated Astyanax aff. fasciatus. A total of 300 fish were distributed in five groups according to body weight: 1.19 ± 0.18, 3.7 ± 0.70, 7.55 ± 0.97, 12.28 ± 2.32 and 22.16 ± 2.64 g. The length-weight relationship was elaborated using linear (y i = b0 + b1x i) or second-order (y i = b0 + b1x i + b1x i²) regression analysis. The value of the b slope in the length-weight relationship was 3.6971 and the intercept was 0.0031. The prediction equations obtained for body moisture, crude protein, crude lipid and ash were, y = 71.680 - 0.404BW, y = 17.140 - 0.095BW, y = 8.432 +0.364BW and y = 3.720 - 0.032BW, respectively, where BW is the body weight of fish (g). The use of prediction equations to describe body composition as a tool to support fish production and commercialization is suggested.

Quantitative HPLC-MS analysis of nucleotide sugars in plant cells following off-line SPE sample preparation

An analytical workflow was developed for the absolute quantification of uridine diphosphate (UDP)-sugars in plant material in order to compare their metabolism both in wild-type Arabidopsis thaliana and mutated plants (ugd2,3) possessing genetic alterations within the UDP-glucose dehydrogenase genes involved in UDP-sugar metabolism. UDP-sugars were extracted from fresh plant material by chloroform-methanol-water extraction and further purified by solid-phase extraction with a porous graphitic carbon adsorbent with extraction efficiencies between 80 ± 5 % and 90 ± 5 %. Quantitative determination of the UDP-sugars was accomplished through HPLC separation with a porous graphitic carbon column (HypercarbTM) which was interfaced to electrospray ionization Orbitrap mass spectrometry. The problem of instable retention times due to redox processes on the stationary phase were circumvented by grounding of the column effluent and incorporation of a column regeneration procedure using acetonitrile-water containing 0.10 % trifluoroacetic acid. The method was calibrated using external calibration and UDP as internal standard. Calibration functions were approximated by first- or second-order regression analysis for concentrations spanning three orders of magnitude. Upon injecting sample volumes of 2.65 μL, the limits of detection for the UDP-sugars were in the 70 nmol L−1 range. Six different UDP-sugars, including UDP-glucose, UDP-galactose, UDP-arabinose, UDP-xylose, UDP-glucuronic acid, and UDP-galacturonic acid were found in concentrations of 0.4 to 38 μg/g plant material. Data evaluation by analysis of variance (ANOVA) revealed statistically significant differences in UDP-sugar concentrations between wild-type and mutant plants, which were found to conclusively mirror the impaired metabolic pathways in the mutant plants. Figureᅟ Electronic supplementary materialThe online version of this article (doi:10.1007/s00216-014-7746-3) contains supplementary material, which is available to authorized users.

A multi-feature integration method for fatigue crack detection and crack length estimation in riveted lap joints using Lamb waves

This paper presents an experimental study of damage detection and quantification in riveted lap joints. Embedded lead zirconate titanate piezoelectric (PZT) ceramic wafer-type sensors are employed to perform in situ non-destructive evaluation (NDE) during fatigue cyclical loading. PZT wafers are used to monitor the wave reflection from the boundaries of the fatigue crack at the edge of bolt joints. The group velocity of the guided wave is calculated to select a proper time window in which the received signal contains the damage information. It is found that the fatigue crack lengths are correlated with three main features of the signal, i.e., correlation coefficient, amplitude change, and phase change. It was also observed that a single feature cannot be used to quantify the damage among different specimens since a considerable variability was observed in the response from different specimens. A multi-feature integration method based on a second-order multivariate regression analysis is proposed for the prediction of fatigue crack lengths using sensor measurements. The model parameters are obtained using training datasets from five specimens. The effectiveness of the proposed methodology is demonstrated using several lap joint specimens from different manufactures and under different loading conditions.

The use of a soy product in juvenile yellowtail kingfish (Seriola lalandi) feeds at different water temperatures: 2. Soy protein concentrate

Juvenile yellowtail kingfish (Seriola lalandi) were fed four iso-nitrogenous and iso-calorific (digestible basis) experimental diets containing 0, 20, 30 or 40% soy protein concentrate (SPC) for 34days at optimal (22°C) and suboptimal water temperatures (18°C) to measure the responses of growth, feed efficiency, nutrient digestibility, gut histology and digestive enzyme activity to dietary manipulation. The substitution of fish meal with 20% SPC did not significantly affect the growth of fish. However, second-order polynomial regression analyses demonstrated that there was a negative impact on the growth of the fish with increasing inclusions of SPC. By contrast, the feed intake was not affected by SPC inclusion, but the apparent feed conversion ratio was significantly increased (worse) above 30% SPC inclusion. The protein and energy efficiency ratios were significantly reduced above 30% SPC inclusion. The whole body moisture and total fat composition were affected above 20% SPC inclusion, but there was no effect on apparent dietary nutrient digestibilities. Suboptimal water temperature significantly decreased all measured growth performance and feed efficiency variables. By contrast, the protein and energy efficiency ratios were higher at 18°C, while the protein and energy retentions were not affected by temperature. The apparent dietary protein digestibility was influenced by temperature, and its increase at 18°C suggests the influence of a slower gut transit time at the cooler temperature. This study indicates that juvenile yellowtail kingfish can effectively utilise 20% SPC, regardless of water temperature.

Supervisory quality of board and firm performance: a perspective of board meeting attendance

The board plays a central role in monitoring the management on behalf of shareholders, yet the efficacy of board monitoring is difficult to determine. This study proposes using board attendance as a proxy measure of board supervisory quality and investigates the factors influencing board attendance, as well as their impact on firms’ performance, by conducting a second-order regression analysis. The results show that board attendance decreases with multiple directorships, meeting frequency, and board size, indicating that busier directors and a more complex board combine to lower meeting attendance. The director shareholding rate and proportion of independent directors increase with board attendance, implying the convergence of interest among directors and companies and that strong external monitoring prompts higher board attendance. Finally, we find that higher board attendance enhances higher firm accounting performance, verifying that firms could view the attendance rate as an indication of the quality of the board supervision of these corporate monitors.

Bead geometry prediction for robotic GMAW-based rapid manufacturing through a neural network and a second-order regression analysis

The single weld bead geometry has critical effects on the layer thickness, surface quality, and dimensional accuracy of metallic parts in layered deposition process. The present study highlights application of a neural network and a second-order regression analysis for predicting bead geometry in robotic gas metal arc welding for rapid manufacturing. A series of experiments were carried out by applying a central composite rotatable design. The results demonstrate that not only the proposed models can predict the bead width and height with reasonable accuracy, but also the neural network model has a better performance than the second-order regression model due to its great capacity of approximating any nonlinear processes. The neural network model can efficiently be used to predict the desired bead geometry with high precision for the adaptive slicing principle in layer additive manufacturing.

Soil warming alters seed‐bank responses across the geographic range of freshwater Taxodium distichum (Cupressaceae) swamps

Climate warming is predicted to have far-reaching effects on the distribution of species, but those effects may depend on the flexibility of regenerating species in responding to climate gradients. We conducted a study to determine whether the variation in the response of seed banks to temperature varied across the latitudinal range of Taxodium distichum swamps in North America. The soil was collected in a long-term research network and heated experimentally to three current-day spring normal soil temperatures (average maximum daily spring normal soil temperatures during May in Illinois, Arkansas, and Louisiana, USA, respectively: 22°, 25°, and 29°C). A "normal" is the mean temperature calculated over a 30-yr interval (1971-2000). Seed-bank density and biomass responses were examined in relation to latitude and difference in the soil temperature of the experiment and the spring normal. Using first- and second-order regression analysis, we determined that the variation in total germination density was lowest mid-range and in experimental soil temperatures similar to the spring normal. For some dominant species, the variance in germination density was higher in the northern (Cephalanthus occidentalis) or the southern part of the network (Saururus cernuus and Polygonum pensylvanicum). Overall, the variance of total biomass (root, shoot, whole plant) was higher if the experimental soil temperature was warmer than the spring normal. Our results suggest that the regeneration of some populations of swamp species may have more flexibility to respond to climate warming than others.

A new model for predicting three-dimensional beach changes by expanding Hsu and Evans' equation

The empirical bay shape model proposed by Hsu and Evans in 1989 for predicting the static planform of a pocket beach is expanded to enable the calculation of three-dimensional beach changes on a pocket beach with a seawall. The original formulation was developed on the basis of a second-order regression analysis. Unlike the one-line model of shoreline changes, the model of Hsu and Evans does not require repeated calculations of the wave field and shoreline position, because it was derived on the assumption of null sediment movement within a pocket beach in static equilibrium, hence without the need of applying the continuity condition of total sand volume in the calculation. The expanded model proposed by the present authors satisfies the total sand budget on a pocket beach, by taking into account the concept of depth change due to longshore sand transport. Model tests were carried out and the new model was further applied to the beach changes at Kemigawa on the northeast of Tokyo Bay in Chiba Prefecture, as well as at Oarai in Ibaraki Prefecture, Japan. On both locations, seawall has been installed as countermeasures against beach erosion, where wave sheltering effect of the main breakwater and beach changes in front of the seawall has also been observed. With this expansion, the present model can be applied to predict the three-dimensional beach changes on a coast with seawall on a pocket beach.

Does Lifelong Training Temper Age-Related Decline in Sport Performance? Interpreting Differences Between Cross-Sectional and Longitudinal Data

In the face of remarkable aging trends in North American society, organized sport/physical activity is an important vehicle for promoting physical health, and a domain in which long-term participation might mitigate pessimistic trends for age decline. This investigation examined patterns of age-related decline in performance for 45 Masters runners who rigorously trained continuously for at least a decade. Longitudinal data for age and performance were collected for 200 m, 1500 m, and 10 km events retrospectively across participants' careers. Cross-sectional (CS) data representing normal patterns of aging were derived from online archives. Longitudinal data reflected within-participant training effects whereas CS data did not. Second-order regression analyses were performed separately for each data type and quadratic beta coefficients, indicative of accelerated age decline, were compared for CS and longitudinal samples on a within-event basis. Results showed evidence of accelerated decline with advancing age for both samples, although rates for longitudinal samples were moderated for the 200 m and 1500 m events. Findings for the long-distance event were anomalous. Results provide evidence for moderated age-decline in physical performance measures for individuals who sustain engagement in organized sport for lengthy periods. Discussion focuses on methodological considerations for advancing future research that contrasts CS and longitudinal samples, and the importance of encouraging sport involvement opportunities to aging individuals.

A NORMATIVE DATABASE OF ISOKINETIC UPPER-EXTREMITY JOINT STRENGTHS: TOWARDS THE EVALUATION OF DYNAMIC HUMAN PERFORMANCE

The objective of this study was to provide a normative database of dynamic upper-extremity (shoulder and elbow) joint strengths to fill the current void in literature for multidimensional strength capacity profiles. The isokinetic strength of the elbow and shoulder joints was tested for twenty normal males and females. The independent variables consisted of joint angular position, joint angular velocity, direction of exertion, and gender. The measured joint strength (torque, Nm) was the only defined dependent variable. The majority of existing joint strength prediction models and normative databases are static (isometric) in nature. The few available dynamic models are reported in the form of torque as a function of joint angle. Since joint strength is a function of both the joint angular position and angular velocity, descriptive models should take this interaction into consideration. The dynamic joint strengths of the subjects were studied using the KIN_COM 125E Plus. A second-order multiple regression analysis was used to model the dynamic 3-D strength surface response of each joint in each direction of exertion. Analysis of variance (ANOVA) with repeated measures design was used to test for the effects of gender, angular position, angular velocity, and direction on the dynamic strength of each joint, joint strength was significantly influenced by dynamic parameters such as the angular velocity. The interaction between angular position and velocity was highly significant. 3-D strength surface representation may be used as a "performance capacity envelope" to comprehensively characterize an individual's dynamic joint strength performance.

A Partial Test of a Career-Based Theory of Job Involvement Among Technical Professionals

Despite the growing importance of careers and its probable influence on work attitudes, only McKelvey and Sekaran (1977) have proposed a career-based theory of job involvement. If their career-based theory of job involvement is to offer practical suggestions on how to improve job involvement, its generalisability will need to be established Data obtained from a sample of technical professionals (engineers, N=210) employed in the electronics industry in Singapore were used to test McKelvey and Sekaran's career-based theory of job involvement. The theory posits job involvement as an outcome of the fit between career, personality, job and organisational characteristics. Our findings are supportive of the theory. First and second-order regression analyses improved the amount of variance in job involvement explained In addition, the analyses indicated each subgroup to become job involved under a different configuration of variables. Implications of the findings and directions for future studies are discussed

Intraluminal Pulsed Doppler Evaluation of the Pulmonary Artery Velocity Time Curve in a Canine Model of Acute Pulmonary Hypertension

The velocity pattern of the blood flow in the pulmonary artery was investigated in an animal model of acute pulmonary hypertension. Nine anesthetized, open-chest dogs were embolized with polystyrene microspheres, and the velocity pattern of the blood flow in the pulmonary artery was studied with use of an invasive pulsed Doppler technique. Phasic intraluminal velocity was recorded with use of a miniature piezoelectric crystal activated by 20-MHz Doppler pulses and mounted on the tip of a needle probe introduced into the pulmonary artery. The recorded Doppler quadrature signals were processed by spectral analysis. Significant increases occurred in mean, systolic, and diastolic pulmonary arterial pressures (p less than 0.0002), in pulmonary vascular resistance (p less than 0.005), and in negative velocity time (duration in milliseconds that the mean velocity was directed toward the pulmonic valve) (p less than 0.002). Significant decreases occurred in right ventricular ejection time (p less than 0.006) and in positive velocity time (duration in milliseconds that the mean velocity was directed away from the pulmonic valve) (p less than 0.005). A significant shortening in the time to peak velocity (acceleration time) was found (p less than 0.005). Second-order regression analyses demonstrated an inverse correlation between the ratio of positive velocity time to negative velocity time and the mean pulmonary artery pressure in all animals (r = 0.71). These findings should be compared with the velocity patterns of the blood flow in the pulmonary artery obtained under pulmonary hypertensive conditions due to various causes to facilitate interpretation and understanding of clinical investigations.

Preloading history influences pressure-volume-derived indices of myocardial contractility in the ejecting canine left ventricle

The dependency of indices of myocardial contractility on the immediate preloading protocol was assessed in 14 pentobarbital anesthetized open-chest dogs. An intracavitary micromanometer and epicardially placed ultrasonic dimension transducers allowed acquisition of dynamic left ventricular pressure-volume relationships while varying preload on right heart bypass. A resting cardiac output of 75 ml/kg/min was either increased twofold or reduced to zero flow over a 20-second interval. Linear regression analysis of the mechanical parameters permitted construction of the end-systolic pressure-volume relationship, rate of pressure rise-end-diastolic volume relationship, and the preload recruitable stroke work relationship. The slopes of the end-systolic pressure-volume relationship and rate of pressure rate-end-diastolic volume relationship were significantly higher when measured during volume depletion than during volume expansion (17.2 +/- 1.3 versus 8.5 +/- 0.8 mm Hg/ml and 205 +/- 14 versus 126 +/- 11 mm Hg/sec/ml, p less than 0.001, respectively). This finding was also evident when data analysis was confined to the initial 10 seconds of the loading interval. Nonlinear regression analysis of pooled data from both preloading protocols revealed curvilinear characteristics for each relationship. In contrast, the slope of the preload recruitable stroke work relationship was lower as a result of volume unloading (16.8 +/- 2.0 versus 22.8 +/- 1.7 mJ/beat/100 gm left ventricle/ml, p less than 0.01) and was independent of loading protocol when data analysis was confined to the initial 10-second acquisition period. Furthermore, second-order regression analysis of the pooled data showed no curvilinearity. These findings emphasize the importance of both the timing and method of varying cardiac preload in the determination of intrinsic myocardial contractility and suggest that the preload recruitable stroke work relationship may be a more linear contractile index that is less affected by preloading history over brief intervals.

The numbers of Sertoli cells in mature Holstein bulls and their relationship to quantitative aspects of spermatogenesis.

Testes from 37 Holstein bulls, 38-99 mo of age, were used to investigate the relationship of Sertoli cell number, Sertoli cell-germ cell ratios and other related factors to daily sperm production (DSP). DSP was assessed by enumeration of spermatids in testicular homogenates, whereas Sertoli cell and germ cell ratios were based on direct counts in 20 round Stage VIII seminiferous tubular cross sections per bull. Numbers of Sertoli cells were calculated as (total homogenization resistant spermatids:spermatid:Sertoli cell ratio)/0.394; the factor of 0.394 adjusted for the presence of homogenization resistant spermatids during only 39.4% of the spermatogenic cycle. Data were subjected to simple linear and second-order regression analyses. Positive linear relationships were observed between DSP and testicular parenchymal weight (p less than 0.005, R = +0.71), DSP per gram (p less than 0.005, R = +0.79), total Sertoli cells (p less than 0.005, R = +0.83), Sertoli cells per gram (p less than 0.01, R = +0.47) and the yield of Step 8 spermatids per Type A spermatogonium (p less than 0.05, R = +0.34). DSP was not related (p greater than 0.10) to the number of germ cells supported per Sertoli cell. Testicular parenchymal weight and DSP per gram were unrelated to each other (p greater than 0.10), but both were related (p less than 0.005) to the total Sertoli cell number (R = +0.61 and +0.62, respectively). Total number of Sertoli cells accounted for more of the variation in DSP between bulls (R2 = 68.2%) than did any other factor examined. It was suggested that total Sertoli cell number may be an important determinant of a bull's spermatogenic potential.

Relationship of absolute numbers of Sertoli cells to testicular size and spermatogenesis in young beef bulls.

Testes were obtained from 34 Hereford or Angus bulls at about 1.5 yr of age and were used to investigate the relationship between the absolute number of Sertoli cells vs testicular size and daily spermatozoal production (DSP). Quantitative determination of DSP was based upon enumeration of elongated spermatids in testicular homogenates. The ratio of step 8 spermatids to Sertoli cells (S:SC) was established by direct counts of these cells in each of 20 round stage VIII seminiferous tubular cross sections for each bull. The number of Sertoli cells per paired testes was calculated as (total spermatids divided by S:SC)/.394, where total spermatids equalled the number of homogenization-resistant spermatids. The factor of .394 adjusted for the fact that the latter cells are present for only 39.4% of the spermatogenic cycle. All data were subjected to simple linear and second-order regression analyses. A positive linear relationship (P less than .005) was found between testicular weight (Y, in grams) and the absolute number of Sertoli cells per paired testes (X, in billions), which was characterized by the equation Y = 315.2 + 10.74X and a coefficient of correlation (r) of .56 (P less than .01). A similar relationship was observed between DSP (Y, in billions) and Sertoli cell numbers (X, in billions). This was characterized by the equation Y = 1.36 + .222X (P less than .005) and a coefficient of correlation of .70 (P less than .01). Daily sperm production was unrelated to the S:SC ratio (P greater than .05).(ABSTRACT TRUNCATED AT 250 WORDS)

The precise measurement of linear sweep voltammetry peak potentials: Location of the current maximum by second-order regression analysis

Donnees relatives aux erreurs de ±(3-5)mV dans les mesures des potentiels de pic en voltammetrie en balayage lineaire et sur la possibilite d'atteindre une bonne precision

Handling liquid scintillation counting data with small desk-top computers

We have presented simple rapid procedures for calculating the absolute radioactivity of samples labeled with one or two isotopes, given the cpm from liquid scintillation counting and an external standard ratio or external count rate. Data were entered via key-board into a small off-line laboratory computer, either the Olivetti Programma 101 or the Wang 380 system. Entry was automatic when a Beckman Omega double-tape reader or a Wang tape editor was included in the respective systems. The information for calculating efficiency of counting from an external standard cpm or ratio data was derived from a linear least-square analysis or from a second-order regression analysis carried out with the computers, which were also available for general laboratory computation and statistical analysis.