Effect Of Sampling Time Research Articles

Using forbidden ordinal patterns to detect determinism in irregularly sampled time series.

It is known that when symbolizing a time series into ordinal patterns using the Bandt-Pompe (BP) methodology, there will be ordinal patterns called forbidden patterns that do not occur in a deterministic series. The existence of forbidden patterns can be used to identify deterministic dynamics. In this paper, the ability to use forbidden patterns to detect determinism in irregularly sampled time series is tested on data generated from a continuous model system. The study is done in three parts. First, the effects of sampling time on the number of forbidden patterns are studied on regularly sampled time series. The next two parts focus on two types of irregular-sampling, missing data and timing jitter. It is shown that forbidden patterns can be used to detect determinism in irregularly sampled time series for low degrees of sampling irregularity (as defined in the paper). In addition, comments are made about the appropriateness of using the BP methodology to symbolize irregularly sampled time series.

Evaluation of an on-farm method to assess colostrum IgG content in sows

The objective of this work was to investigate the evaluation of swine colostrum immunoglobulin G (IgG) concentration using the Brix refractometer. Colostrum samples were collected across all teats, from 124 sows of mixed parities. According to sampling time, three categories were created: samples available from 9 h before the onset of parturition until the first piglet was born were classified as before farrowing; samples collected after the first birth until 4 h later were classified as during farrowing; and finally samples collected from this point until 14 h after parturition, were classified as after farrowing. Samples were drawn and divided into three portions; one was immediately analyzed, a second was refrigerated and the third was frozen at −20°C. Fresh and refrigerated colostrum samples were analyzed at the farm with a Brix refractometer. IgG content of frozen samples was analyzed using a Brix refractometer, with a subset of 42 samples also tested with a commercially available radial immune diffusion (RID) kit. The Brix percentage ranged from 18.3% to 33.2%. Brix percentage repeatability, assessed by the intraclass correlation coefficient (ICC), was very strong (fresh ICC=0.98, refrigerated ICC=0.88 and frozen ICC=0.99). One-way repeated-measures ANOVA showed that storage temperature did not affect BRIX percentage of colostrum IgG (P>0.05). ANOVA results show a significant effect of sampling time on colostrum immunoglobulin concentration, measured with both Brix and RID (Brix: P<0.003; RID: P<0.05). Immunoglobulin G concentration measured by RID ranged from 13.27 to 35.08 mg/ml. Pearson correlation coefficient revealed that Brix percentage was positively correlated (r=0.56, P<0.001) with RID results (regression equation: RID=1.01 (±0.2) Brix −1.94 (±5.66); R2=0.31). The results of this study indicate that the Brix refractometer provides a simple, fast and inexpensive estimation of colostrum IgG in sows.

Effects of Fertilization and Sampling Time on Composition and Diversity of Entire and Active Bacterial Communities in German Grassland Soils.

Soil bacteria are major players in driving and regulating ecosystem processes. Thus, the identification of factors shaping the diversity and structure of these communities is crucial for understanding bacterial-mediated processes such as nutrient transformation and cycling. As most studies only target the entire soil bacterial community, the response of active community members to environmental changes is still poorly understood. The objective of this study was to investigate the effect of fertilizer application and sampling time on structure and diversity of potentially active (RNA-based) and the entire (DNA-based) bacterial communities in German grassland soils. Analysis of more than 2.3 million 16S rRNA transcripts and gene sequences derived from amplicon-based sequencing of 16S rRNA genes revealed that fertilizer application and sampling time significantly altered the diversity and composition of entire and active bacterial communities. Although the composition of both the entire and the active bacterial community was correlated with environmental factors such as pH or C/N ratio, the active community showed a higher sensitivity to environmental changes than the entire community. In addition, functional analyses were performed based on predictions derived from 16S rRNA data. Genes encoding the uptake of nitrate/nitrite, nitrification, and denitrification were significantly more abundant in fertilized plots compared to non-fertilized plots. Hence, this study provided novel insights into changes in dynamics and functions of soil bacterial communities as response to season and fertilizer application.

Lasting effects of butyrate and low FM/FO diets on growth performance, blood haematology/biochemistry and molecular growth-related markers in gilthead sea bream (Sparus aurata)

Four isoproteic/isolipidic plant protein-based diets were formulated to assess the lasting effects of feed additives and low fish meal (FM) and fish oil (FO) diet formulations on gilthead sea bream growth performance. FM was included at 23% in the control diet (D1) and at 3% in the other three diets (D2, D3, D4). Added oil was either FO (D1) or a blend of vegetable oils replacing 58% (D2) and 84% (D3, D4 diets) of FO. A commercial sodium butyrate preparation (NOREL, 70-BP) was added to the D4 diet at 0.4%. Each diet was allocated to triplicate groups of juvenile fish fed to satiety over an 8-month feeding trial (May–December). All fish grew efficiently from 15g of initial body weight to 296–320g with an overall feed efficiency (FE) of 0.95–1.01, although fish fed D3 and D4 diets showed transient growth impairments over the course of the first four weeks of the trial. Data on biometric indexes, whole body composition, haematology and blood biochemistry revealed a strong effect of sampling time in fish sampled at mid-summer (August) and late autumn (December). In contrast, the diet effect was mostly reduced to a few blood parameters. Low inclusion levels of FM reduced plasma haemoglobin levels (D2, D3), but these effects were reversed by butyrate supplementation (D4). The same phenomena occurred for total cholesterol with the highest circulating concentration of choline and IGF-I in fish fed the D4 diet during their summer growth spurt. At the transcriptional level, gene expression profiling of liver and skeletal muscle with a PCR-array of 87 growth markers provided additional evidence for an overall well-growth condition in all of the experimental groups. Up to 73 genes were found at detectable levels in the liver tissue, but only 13 were differentially expressed. Likewise, 84 genes were actively transcribed in the skeletal muscle, but only nine were differentially expressed in at least one experimental group. Butyrate supplementation reversed the up-regulated expression of inflammatory cytokines (TNFα) and muscle markers of cellular morphogenesis and protein breakdown (CDH15, CAPN3, PSMA5, PSMB1, UBE2N) in the muscle of fish fed the extreme D3 diet. These results support the use of low FM/FO diets alone or supplemented with feed additives, which have the potential to improve or reverse metabolic steady-states. Statement of relevanceButyrate effect on low fish meal/fish oil diets.

Glutathione S-transferase activities in African catfish injected with β-naphthoflavone: effects of ploidy, gender, dose, and sampling time.

Glutathione S-transferases (GST) are considered among the most controversial biomarkers of water pollutants in fish with little known about factors influencing their activities. The objective of this study was to investigate how gender, dose, ploidy, and sampling time alter hepatic GST activities in African catfish (Clarias gariepinus) following β-naphthoflavone (β-NF) injection. Newly matured male and female diploid and triploid fish were intraperitoneally (i.p.) injected with 0, 15, or 75mg/kg of β-NF, and livers were excised 24, 48, and 72h post-injection. Results showed that hepatic GST activities were significantly inhibited by both doses of β-NF. Inhibition was greater in females than males, but no significant differences were observed between diploid and triploid fish. Enzymatic activities differed over time with lowest levels 72h post-injection. These results extend our understanding of GST activity in fish and highlight the necessity of considering confounding factors when comparing different studies.

Optimization of rhamnolipid production by biodegrading bacterial isolates using Plackett–Burman design

Biosurfactants are biological surfactants produced by microorganisms. Pseudomonas species are well known for the production of the rhamnolipid biosurfactant. In this work, the production of rhamnolipid biosurfactant by Pseudomonas spp. was investigated and further optimized. Two Plackett–Burman designs to study the effect of carbon source, nitrogen source, C/N ratio, iron concentration, magnesium concentration, phenol toxicity, pH, temperature, agitation and sampling time were tested. The first design revealed an optimization that increased biosurfactant productivity by almost two to fivefolds for the tested isolates. However, using the second design showed no remarkable increase in biosurfactant productivity. An additional validation run was adopted using the predicted optimal medium with predicted optimal conditions. The validation run showed remarkable increase in the productivity of the tested isolates.The use of microorganisms with biodegradation ability coupled with optimization of the parameters affecting productivity provides an efficient strategy for biosurfactant production.

Different Training Schedules Influence Serum Electrophoretic Protein Profile in the Athletic Horse

Physical exercise induces various physiological responses and metabolic adaptations that have not been completely elucidated. The monitoring of alterations in blood parameters related to exercise is required to detect subclinical conditions. In this study, changes in serum total proteins and globulin fractions (albumin, α1, α2, β1, β2, and γ-globulins) were investigated in 15 clinically healthy horses subjected to different physical exercise for 5 weeks. Animals were divided in three equal groups: group A performed an intense training schedule, group B performed a light training schedule, and group C included sedentary subjects. After 5 weeks, group B was subjected to the same training schedule used for group A and it was indicated as group B1. Blood samples were collected from all animals at rest conditions. During the first week, three blood samples were collected at first, third, and fifth day and afterward, once a week for additional 4 weeks. Two-way repeated measures analysis of variance showed a statistical effect of sampling time and of different training schedules on total proteins and albumin levels in groups A and B as compared with groups C and B1. Based on these results, it is evident that the interpretation of changes in electrophoretic parameters in athletic horses cannot be limited to the comparison with a static normal range, but must consider their dynamic evolution with the progression of training.

Utility of Acute Phase Proteins as Biomarkers of Transport Stress in Ewes and Beef Cattle.

The effect of transport on serum amyloid A (SAA), haptoglobin (Hp), Fibrinogen and white blood cells (WBC) was evaluated in 10 ewes and 10 beef cattle. All animals were transported by road for 6 h over a distance of about 490 km with an average speed of 80 km/h. Blood samples, collected via jugular venepuncture, were obtained before and after transport as well as after 12, 24 and 48 h rest time. One-way repeated measures analysis of variance showed a statistically significant effect of sampling time on SAA, Hp, and WBC in ewes and beef cattle. Based on these results, Hp and SAA levels, together with WBC, may be useful indicators of animal health and welfare and in predicting the risk assessment in meat inspection.

Utility of Acute Phase Proteins as Biomarkers of Transport Stress in Ewes and Beef Cattle

The effect of transport on serum amyloid A (SAA), haptoglobin (Hp), Fibrinogen and white blood cells (WBC) was evaluated in 10 ewes and 10 beef cattle. All animals were transported by road for 6 h over a distance of about 490 km with an average speed of 80 km/h. Blood samples, collected via jugular venepuncture, were obtained before and after transport as well as after 12, 24 and 48 h rest time. One-way repeated measures analysis of variance showed a statistically significant effect of sampling time on SAA, Hp, and WBC in ewes and beef cattle. Based on these results, Hp and SAA levels, together with WBC, may be useful indicators of animal health and welfare and in predicting the risk assessment in meat inspection.

Simultaneous determination of phenylurea herbicides in yam by capillary electrophoresis with electrochemiluminescence detection.

A method of capillary electrophoresis (CE) coupled with electrochemiluminescence (ECL) detection has been applied to detect three major phenylurea herbicides (monuron, monolinuron and diuron) simultaneously. The effects of yam sample preparation, injection voltage and time, detection potential, detection buffer concentration and pH, Ru(bpy)₃(2+) concentration, separation buffer type, separation buffer pH and concentration, separation voltage were investigated in detail. Under optimum conditions, a good baseline separation and highly sensitive detection for monuron, monolinuron and diuron were achieved. The ECL intensity (I) was in proportion to three analytes concentration (ρ) in the range of 0.1-10,000 μg/L for monuron (r≥0.9993), 0.1-18,000 μg/L for monolinuron (r≥0.9995) and 0.1-20,000 μg/L for diuron (r≥0.9997). The detection limits for monuron, monolinuron and diuron were 0.05, 0.04 and 0.01 μg/L (S/N=3), respectively. The developed method was successfully applied for the analysis of monuron, monolinuron and diuron residues in yam simultaneously. The average recoveries are in the ranges of 90.0-99.2% with relative standard deviations less than 3.2%. The limits of detection of the proposed method were 0.010 μg/kg for monuron, 0.008 μg/kg for monolinuron and diuron in yam.

Effect of finite sampling time on estimation of Brownian fluctuation

AbstractWe present a study of the effect of finite detector integration/exposure time $E$, in relation to interrogation time interval ${\rm\Delta}t$, on analysis of Brownian motion of small particles using numerical simulation of the Langevin equation for both free diffusion and hindered diffusion near a solid wall. The simulation result for free diffusion recovers the known scaling law for the dependence of estimated diffusion coefficient on $E/{\rm\Delta}t$, i.e. for $0\leqslant E/{\rm\Delta}t\leqslant 1$ the estimated diffusion coefficient scales linearly as $1-(E/{\rm\Delta}t)/3$. Extending the analysis to the parameter range $E/{\rm\Delta}t\geqslant 1$, we find a new nonlinear scaling behaviour given by $(E/{\rm\Delta}t)^{-1}[1-((E/{\rm\Delta}t)^{-1})/3]$, for which we also provide an exact analytical solution. The simulation of near-wall diffusion shows that hindered diffusion of particles parallel to a solid wall, when normalized appropriately, follows with a high degree of accuracy the same form of scaling laws given above for free diffusion. Specifically, the scaling laws in this case are well represented by $1-((1+{\it\epsilon})(E/{\rm\Delta}t))/3$, for $E/{\rm\Delta}t\leqslant 1$, and $(E/{\rm\Delta}t)^{-1}[1-((1+{\it\epsilon})(E/{\rm\Delta}t)^{-1})/3]$, for $E/{\rm\Delta}t\geqslant 1$, where the small parameter ${\it\epsilon}$ depends on the size of the near-wall domain used in the estimation of the diffusion coefficient and value of $E$. For the range of parameters reported in the literature, we estimate ${\it\epsilon}&lt;0.03$. The near-wall simulations also show a bias in the estimated diffusion coefficient parallel to the wall even in the limit $E=0$, indicating an overestimation which increases with increasing time delay ${\rm\Delta}t$. This diffusion-induced overestimation is caused by the same underlying mechanism responsible for the previously reported overestimation of mean velocity in near-wall velocimetry.

Sampling factors causing variability in milk constituents in early lactation cows

This study was conducted to evaluate effects of breed, parity, sampling day, and sampling time on somatic cell count (SCC) and milk lipid and protein profiles in intra-mammary infection-free early lactating dairy cows (Holstein, n = 5 and Swiss Brown, n = 6; 34 ± 6 DIM). SCC was assessed by flow cytometry. Milk lipid (free fatty acid, triacylglycerol, diacylglycerol, cholesterol, phospholipid) and protein IgG and A, albumin, caseins (α, β, κ), α-lactalbumin, and β-lactoglobulin were determined using HPTLC and SDS-PAGE methods. Data were analysed by 4-way ANOVA and subjected to hierarchical backward elimination of insignificant interaction terms. SCC varied by parity and sampling time. Apart from sampling time, other fixed factors altered milk lipids. There was only a breed × parity interaction effect on milk lipid profiles. All proposed factors affected milk proteins. Among proteins only the IgG fraction exhibited diurnal variation. There were significant breed × parity, breed × sampling day, and parity × sampling day interactions for milk proteins. In conclusion, factors relating to the cows themselves (breed and parity), sampling day, and sampling time cause variation in parameters that are pertinent to mammary gland health and milk quality.

Evaluation of secondary stress biomarkers during road transport in rabbit

The aim of this study was to evaluate the effect of road transport, excluding the effect of cages, on rectal temperature (RT), glucose, lactate, packed cell volume (PCV) and total proteins (TP) in rabbits. The animals were divided into three groups of 10 subjects: Group A was transported into plastic transport crates by road for 2h over a distance about 160km with an average speed of 80km/h, Group B was untransported and placed into plastic transport crates and Group C was untransported and placed into battery-style cages. RT, glucose, lactate, PCV and TP were measured before (T0) and after the road transport (T2) as well as after 6 (T6) and 24h (T24) rest time in Groups A–C. The GLM (General linear model) Repeated Measures procedure, followed by Duncan multiple post-hoc comparison test, showed statistically significant differences among the Groups A–C (P<0.0001) and a significant effect of sampling time (P<0.0001) on RT, glucose, lactate and PCV in Group A. The results suggest that in rabbits, the changes of rectal temperature, together with the secondary stress markers, play an important role in providing complementary information for the assessment of transportation stress suggesting that these modifications are useful not only for monitoring stressful conditions but also for evaluating health and animal welfare.

The success ofin vitroembryo rescue technique in hybridization of seedless grape varieties

In this study six seedless grape cultivars (Crimson Seedless, Sultan 7, Black Kishmish, Early Superior, White Kishmish and Sultana) were hybridized to evaluate the effects of genotype and sampling time on embryo survival. After 7, 8, 9 and 10 weeks after hybridization ovules were excised and cultured on E20A solid medium with PVP. Embryos were rescued 12 weeks after ovule inoculation. The percentage of embryos and transplantable plants were recorded. The highest percentage of embryo (64 %) was obtained from Crimson Seedless × Sultan 7 combination, while Sultan 7 × Black Kishmish combination gave the lowest (1%). The ovule excision time and genotype were important for the success of embryo viability. 243 plantlets were obtained from a total of 845 cultured ovules, from which 98 plantlets were transferred to acclimatization environment.

모바일 로봇 모션 제어에 있어 샘플링 시간의 효과

모바일 로봇 모션 제어에 있어 샘플링 시간의 효과

Seasonal and local differences in leaf litter flammability of six Mediterranean tree species.

One of the suggested management options for reducing fire danger is the selection of less flammable plant species. Nevertheless, vegetation flammability is both complex and dynamic, making identification of such species challenging. While large efforts have been made to connect plant traits to fire behavior, seasonal changes and within species variability of traits are often neglected. Currently, even the most sophisticated fire danger systems presume that intrinsic characteristics of leaf litter stay unchanged, and plant species flammability lists are often transferred from one area to another. In order to assess if these practices can be improved, we performed a study examining the relationship between morphological characteristics and flammability parameters of leaf litter, thereby taking into account seasonal and local variability. Litter from six Mediterranean tree species was sampled throughout the fire season from three different locations along a climate gradient. Samples were subjected to flammability testing involving an epiradiator operated at 400 °C surface temperature with 3 g sample weight. Specific leaf area, fuel moisture content, average area, and average mass of a single particle had significant influences on flammability parameters. Effects of sampling time and location were significant as well. Due to the standardized testing conditions, these effects could be attributed to changes in intrinsic characteristics of the material. As the aforementioned effects were inconsistent and species specific, these results may potentially limit the generalization of species flammability rankings. Further research is necessary in order to evaluate the importance of our findings for fire danger modeling.

Biological variables as soil quality indicators: Effect of sampling time and ability to classify soils by their suitability

Soil biological variables are considered good soil quality indicators due to their high sensitivity and ability to reflect soil management effects. However, they frequently show high temporal variability. Our objectives were: (a) to analyze temporal stability and seasonal effect on biological variables, (b) to choose between autumn and spring to sample for soil biological variables, and (c) to determine biological variables able to discriminate among selected soil subgroups. Areas with minimal human disturbance were sampled in three soil orders (Mollisol, Vertisol and Alfisol) during two and a half years, each autumn and spring. Microbial biomass C and N (MBC, MBN), basal respiration (Resp), metabolic quotient (qCO2), potential of N mineralization (PNM-AI), soil organic C (TOC) and total soil N (TON) were measured in three composite soil samples collected from homogeneous areas at 0–15cm depth. For the studied soils, selected soil biological variables presented different levels depending on the time of sampling, spring or autumn. Hence, the importance of pointing out the time of sampling to report results of these variables in this kind of studies is remarked. In general, biological variables presented higher stability when we sampled soils in autumn compared to spring. Because of this, we used autumn soil samples to determine the best soil biological variables to discriminate among selected subgroups of soils. The separation of soil subgroups by means of discriminant analysis using just TOC and TON was scrutinized, considering that these soil variables are routinely measured in soil test laboratories. Nonetheless they were not able to discriminate properly among soil subgroups because they showed high error rates classifying the samples in the correct subgroups. In contrast, the variables PMN-AI, MBC, and MBN adequately discriminated the five soil subgroups. From the biological variables, PMN-AI and MBC were the best ones to characterize (discriminate) among the five soil subgroups. Particularly, PMN-AI was able to separate soils by their suitability for agricultural purposes.

Turbine engine rotor blade fault diagnostics through casing pressure and vibration sensors

In this study, an exact solution is provided for a previously indeterminate equation used for rotor blade fault diagnostics. The method estimates rotor blade natural frequency through turbine engine casing pressure and vibration sensors. The equation requires accurate measurements of low-amplitude sideband signals in the frequency domain. With this in mind, statistical evaluation was also completed with the goal of determining the effect of sampling time and frequency on sideband resolution in the frequency domain.

Yellow Oleander Seed Oil Extraction Modeling and Process Parameters Optimization: Performance Evaluation of Artificial Neural Network and Response Surface Methodology

The effects of sample weight, time and solvent type on YOSO yield were evaluated using ANN and RSM. The predicted optimal condition for the extraction process was found to be the same for the ANN and RSM models developed: sample weight of 20 g, time of 3 h and petroleum ether. The models predictions of YOSO yield (ANN [77.42%] and RSM [78.64%]) at optimum levels were verified experimentally (ANN [77.63%] and RSM [76.64%]). Evaluation of the models by R2 and AAD showed that the ANN model was better (R2 = 1.00, AAD = 0.61%) than the RSM model (R2 = 0.98, AAD = 3.19%) in predicting YOSO yield. Physicochemical properties of the YOSO indicated that it was nonedible and the fatty acids profile showed that the oil was highly unsaturated (76.13%). Practical Applications This study demonstrated modeling of YOSO extraction and optimization of process parameters that are involved. The performance evaluation results showed that both the ANN and RSM could be used for modeling and optimization of YOSO extraction process. Also, the characterization of the oil showed that it could serve as raw material for many chemical industries such as biodiesel production, soap, cosmetic and pharmaceutical industrials. The results from this study can be successfully scaled up to pilot scale. Also, the results could be extended to the extraction of other oilseeds.

Changes in pig diet particle size profile and nutrient content during on-farm storage and distribution to the feeders

The present study assessed the effect of silo emptying and feed transport by conveyor systems on particle size and nutrient content of the feed delivered to the pigs. Experiment 1 sampled feed from four feeders along the conveyor system of two barns. Samples were taken immediately after filling the feed silo (Begin) and when the silo was almost empty (End). In Experiment 2, three barns with drag-type conveyors, three with auger-type conveyors and two with spiral-type conveyors were sampled. Along the different conveyors, samples at 10, 20, 50 and 85 m distance from the feed silo were taken from the feeders. In each barn, sampling was repeated for two subsequent batches of feed delivered. In all samples, particle size profile was determined and nutrient content was analysed. In Experiment 2, mineral content was also determined. In Experiment 1, the size of the different particle fractions decreased from Begin to End. An interaction (p < 0.05) between sampling time and conveyor type was detected for the 10% smallest particles. In Experiment 2, an effect of sampling time on the 10% largest particles was detected (p < 0.05). The effect of sampling time on several nutrients was observed in Experiments 1 and 2, but the affected nutrients differed between both experiments. Results implied that it was mainly emptying of the silo that affected mash particle size profile and nutrient content. The potential impact of these changes on pig performance requires further investigation.