Analysis Of Main Effects Research Articles

Dissection of genotype‐by‐environment interaction and simultaneous selection for grain yield and stability in faba bean (Vicia faba L.)

AbstractIncreasing faba bean production is indispensable to supply the growing demand for plant‐based protein on the global scale. A thorough understanding of genotype (G) × environment (E) interaction (GEI) patterns is critical to developing high‐yielding varieties with wider adaptation. Thirteen faba bean genotypes were evaluated in 15 environments during 2019–2020 in western Canada to estimate their yield stability using different stability statistics. The combined analysis of variance and additive main effects and multiplicative interaction (AMMI) analysis revealed that G, E, and GEI effects were highly significant (p < 0.001), indicating differential responses of the genotypes across the environments, enabling the stability analysis. The result of the model comparison found the best linear unbiased prediction (BLUP) to outperform AMMI models. The BLUP‐based biplot of the weighted average of absolute scores (WAASB) stability and mean grain yield (GY) identified AO 1155 (Navi), 1089‐1‐2, 1310‐5, DL Tesoro, and 1239‐1 as high‐yielding and stable genotypes. The correlation analysis revealed that most of the stability parameters had a strong association with GY and with each other, indicating that they should be used in combination with one another to select genotypes with high yield. Overall, the WAASB superiority index and the average sum of ranks of all stability statistics identified the same genotypes in terms of high‐yielding and stability, and genotype AO 1155 is considered the most stable and highest yielding among the tested genotypes. Genotypes with stable yields across environments would be beneficial for faba bean genetic improvement programs globally.

Influence of Polymeric Microparticle Size and Loading Concentration on 3D Printing Accuracy and Degradation Behavior of Composite Scaffolds.

Successful employment of 3D printing for delivery of therapeutic biomolecules requires protection of their bioactivity on exposure to potentially inactivating conditions. Although intermediary encapsulation of the biomolecules in polymeric particulate delivery vehicles is a promising strategy for this objective, the inclusion of such particles in 3D printing formulations may critically impact the accuracy or precision of 3D printed scaffolds relative to their intended designed architectures, as well as the degradation behavior of both the scaffolds and the included particles. The present work aimed to elucidate the effect of poly(d,l-lactic-co-glycolic acid) particle size and loading concentration on material accuracy, machine precision, and degradation of 3D printed poly(ɛ-caprolactone)-based scaffolds. Using a main effects analysis, the sizes and loading concentrations of particle delivery vehicles investigated were found to have neither a beneficial nor disadvantageous influence on the metrics of printing quality such as material accuracy and machine precision. Meanwhile, particle loading concentration was determined to influence degradation rate, whereas printing temperature affected the trends in composite weight-average molecular weight. Neither of the two particle-related parameters (concentration nor diameter) was found to exhibit a significant effect on intra-fiber nor inter-fiber porosity. These findings evidence the capacity for controlled loading of particulate delivery vehicles in 3D printed scaffolds while preserving construct accuracy and precision, and with predictable dictation of composite degradation behavior for potential controlled release of encapsulated biomolecules.

Tribological and Morphological Study of AISI 316L Stainless Steel during Turning under Different Lubrication Conditions

Due to growing environmental concerns and economical and social problems in manufacturing sectors, there is a huge demand for the substitution of existing cutting fluids. Further, the cutting fluids selected are expected to reduce the cutting force, improve the surface roughness and also minimize the tool wear during machining operations. Hence, this paper discusses the tribological and morphological behaviour of AISI 316L stainless steel while turning under minimum quantity lubrication (MQL) such as oil–water emulsion, mineral oil, simarouba oil, pongam oil and neem oil based on Taguchi L25 orthogonal array. From the extensive experimentation, it was observed that neem oil MQL with cutting speed of (140, 140, 60 m/min), feed of (0.30, 0.20, 0.10 mm/rev) and depth of cut of (1.0, 1.0, 1.0 mm) resulted in the lowest surface roughness (0.36 µm),cutting force (235.34 N) and tool wear (100.32 microns), respectively. Further, main effects plots and analysis of variance (ANOVA)can be successfully used to identify the optimum process input parameters and their percentage of contribution (P%) on the output parameters during turning of AISI 316L steel under MQL applications. The results clearly indicate that from both an ecological and economical standpoint, neem oil is the most effective lubricant in reducing cutting forces, tool wear and surface roughness during turning of AISI 316L stainless steel under MQL.

Exploring the effects of COVID-19 on motorcycle riding patterns and its importance.

A motorcycle refers to a two-wheeled, personal mobility vehicle used for daily transportation and leisure activities. Leisure enables social interaction, and motorcycle riding could be an activity that facilitates social interactions and distancing. Therefore, grasping the importance of riding motorcycles during the pandemic-which involved social distancing and limited leisure activities-can be valuable. However, researchers have yet to examine its potential importance during the pandemic. Therefore, this study aimed to determine the importance of personal space and time spent with others in the context of motorcycle riding during the COVID-19 pandemic. We specifically explored the effects of COVID-19 on riding patterns and importance of riding motorcycle by examining whether these factors differed regarding changes in the frequency of motorcycle riding before and during the pandemic in daily and leisure-oriented transportation. Data were collected from 1,800 motorcycle users in Japan using a web-based survey conducted in November 2021. Respondents replied to questions concerning the importance of personal space and time spent with others attributed to motorcycle riding before and during the pandemic. Following the survey, we conducted a two-way repeated measures analysis of variance (two-factor ANOVA) and performed a simple main effect analysis using the SPSS syntax editor in case of interactions. The valid samples for motorcyclists with leisure motive (leisure-oriented users) and daily transportation motive (daily users) numbered n = 890 and n = 870, respectively (total n = 1,760, 95.5%). Each valid sample was divided into three groups based on the differences in motorcycle riding frequency before and during the pandemic: unchanged, increased frequency, and decreased frequency. The two-factor ANOVA results showed significant differences in the interaction effects for leisure-oriented and daily users regarding personal space and time spent with others. The mean value of the "increased frequency" group during the pandemic indicated significantly higher importance of personal space and time spent with others than the other groups. Motorcycle riding could enable daily transportation and leisure-oriented users to practice social distancing while simultaneously spending time with companions and alleviating loneliness and isolation during the pandemic.

Intersectional microaggressions, depressive symptoms, and the role of LGBTQ-specific parental support in a sample of Latinx sexual and gender minority youth.

Latinx and sexual and gender minority (SGM) youth experience higher incidents of racism, cissexism, and heterosexism in the forms of overt discrimination and microaggressions. These experiences could in part explain increased negative mental health outcomes, such as depressive symptoms. Evidence points to the possibility that LGBTQ-specific parental support buffers the effects of intersectional microaggressions on depressive symptoms among Latinx SGM youth. In a sample of 1292 Latinx SGM youth (ages 13-17), we assessed: a) the association between LGBTQ-specific parental support and depressive symptoms, b) the associations between three forms of intersectional microaggressions and depressive symptoms, and c) whether parental LGBTQ-specific parental support moderated the relationship between three forms of intersectional microaggressions and depressive symptoms. Main effect and moderation analyses examined interactions between LGBTQ-specific parental support with each of the three forms of intersectional microaggressions on depressive symptoms. We found that Latinx transgender youth experienced higher intersectional microaggressions compared to their cisgender counterparts and that Latinx SGM youth who reported lower LGBTQ-specific parental support experienced higher depressive symptoms. We also identified a significant interaction between intersectional microaggressions and LGBTQ-specific parental support, suggesting that parental support was more protective at low rather than high levels of intersectional microaggressions. Findings suggest a need for future work examining culturally appropriate approaches to foster a supportive parent-child relationship among Latinx SGM youth and their parental figures.

Runoff regulation and nitrogen and phosphorus removal performance of a bioretention substrate with HDTMA-modified zeolite

As a commonly used material in bioretention substrates, natural zeolite (NZ) provides decent adsorption capacity for cation pollutants and heavy metals, but limited ability to remove anion pollutants. Hexadecyltrimethylammonium bromide (HDTMA)-modified zeolite (MZ) was used as the bioretention substrate material. The performance of the media including runoff reduction, nitrate nitrogen (NO3−-N) removal, ammonium nitrogen (NH4+-N) removal, and total phosphorus (TP) removal was assessed by the column experiment. The effects of different levels of modification, ratio of zeolite in the substrate, and rainfall intensity on media performance were investigated. The results indicate that HDTMA-modified zeolite significantly improves the NO3−-N (up to 38.2 times of NZ) and TP (up to17.5 times of NZ) removal rate of media and slightly increases the NH4+-N (up to 1.5 times of NZ) purification performance of the substrate. Compared with the media with NZ, decline on both runoff volume reduction (maximum decline up to 32.9%) and flow rate reduction (maximum decline up to 29.9%) of the media with MZ were observed. Based on multiple regression analysis, quantitative relationship models between influencing factors and response variables were established (R2 > 0.793), the level of the effect of influencing factors on response variables was investigated, and the interactions between influencing factors were explored. The main effect analysis found that the degree of modification affects NO3−-N and TP removal rate of the substrate the most, and when the amount of HDTMA molecules loaded on the zeolite surface exceeds 0.09meq/g, the modification can no longer improve NO3−-N removal efficiency.

Additive Main Effect and Multiplicative Interaction Stability Analysis of Grain Yield Performance in Cowpea Genotypes across Locations

Additive Main Effect and Multiplicative Interaction Stability Analysis of Grain Yield Performance in Cowpea Genotypes across Locations

Evaluating Factors Predicting Smooth Transition to the International Public Sector Accounting Standards in Nigeria

The study is an evaluation of factors affecting smooth transition from Statement of Accounting Standards to the International Public Sector Accounting Standards (IPSAS) by Nigerian public sector entities. The predictive variables were analyzed using the proxies of public perceptions and attitudes towards IPSAS, skills and competencies of accounting practitioners and adequacies of legal and regulatory frameworks to drive the adoption. Scholars argued that IPSAS will lead to more quality and transparent financial reports in the public sector.The adoption journeys in Nigeria, has being marked with wobbling attempts at cash based to accrual based IPSAS due to unpreparedness and institutional failures leading to several shift of deadline for mandatory adoption. The study employed theoretical framework of institutional adequacy and attitudinal change, and agency theories. Survey research non experimental design aligns with the behaviours of the variables under study and so was adopted. To check for reliability of the instrument, I calculated the Cronbach’s alpha and the bivariate correlation coefficient to determine how closely linked items are with each other in the scale. The result fall along acceptable Cronbach of .76. The use of Likert Scale correlates with its long standing history of reliability in social science research. Descriptive statistics was employed to specify the nature of the variables prior to main effect analysis. Multicollinearity diagnosis was adopted to check for any overlapping relationship between the variables and Z-score statistics to test for outliers in the data set and clean up my data set by testing for all statistical assumptions. Stratified sampling strategy was found most appropriate to draw representative samples from the sampling frames. 640 respondents were sampled with 20 non respond. This represents mere 3.125% as missing data which is considered of no significant effect on the data. Data was analyzed using multiple regressions and Pearson Correlation coefficient to test the hypothesis and assess the relationship between the variables. The result indicates that there exists significant relationship between the independent and dependent variables, and that negative public perception and low political will are strong barriers to successful implementation of same in Nigeria. Respondents held that Nigeria accountant are not skilled and competent to handle the migration to accrual IPSAS and legislative and regulatory framework is not adequate enough to support IPSAS adoption. The study recommends curriculum overhauls, enacting and amendments of relevant laws to accommodate the teaching and regulation of IPSAS adoption in the public service.

Unified model-free interaction screening via CV-entropy filter

For many practical high-dimensional problems, interactions have been increasingly found to play important roles beyond main effects. A representative example is gene-gene interaction. Joint analysis, which analyzes all interactions and main effects in a single model, can be seriously challenged by high dimensionality. For high-dimensional data analysis in general, marginal screening has been established as effective for reducing computational cost, increasing stability, and improving estimation/selection performance. Most of the existing marginal screening methods are designed for the analysis of main effects only. The existing screening methods for interaction analysis are often limited by making stringent model assumptions, lacking robustness, and/or requiring predictors to be continuous (and hence lacking flexibility). A unified marginal screening approach tailored to interaction analysis is developed, which can be applied to regression, classification, and survival analysis. Predictors are allowed to be continuous and discrete. The proposed approach is built on Coefficient of Variation (CV) filters based on information entropy. Statistical properties are rigorously established. It is shown that the CV filters are almost insensitive to the distribution tails of predictors, correlation structure among predictors, and sparsity level of signals. An efficient two-stage algorithm is developed to make the proposed approach scalable to ultrahigh-dimensional data. Simulations and the analysis of TCGA LUAD data further establish the practical superiority of the proposed approach.

Vibration Performance Analysis and Multi-Objective Optimization Design of a Tractor Scissor Seat Suspension System

The combination of characteristic parameters is the key and difficult point to improving the vibration attenuation of scissor seat suspension. This paper proposes a multi-objective optimization method based on entropy weight gray correlation to optimize the combination of characteristic parameters with better vibration attenuation. The differential equation of seat suspension motion is derived through mechanical analysis, and a simplified driver seat suspension single degree of freedom model is constructed. The range of spring stiffness and damper damping is calculated theoretically. Through main effect analysis and analysis of contribution, the main influencing factors of seat suspension vibration attenuation are studied, and the influence correlation of the main factors is analyzed. On this basis, the spring stiffness and damper damping are taken as control variables, and the upper plane acceleration, displacement, and transfer rate of the seat suspension are taken as optimization objectives. The Optimal Latin Hypercube Sampling (OLHS) was used to sample the Design of Experiments (DoE), fit the RBF surrogate model, and screen the optimal solution based on the MNSGA-II algorithm and entropy weight gray relation ranking method. The comparative analysis of the performance before and after optimization shows that the vibration reduction performance response indexes of the acceleration, displacement, and transmissibility of the optimized seats are increased by 66.41%, 2.31%, and 8.19%, respectively. The design and optimization method proposed in this study has a significant effect on the vibration reduction of seats, which provides a reference for the optimization of the vibration reduction performance of seat suspension.

Perceived Pain in Athletes: A Comparison between Endurance Runners and Powerlifters through a Cold Experimental Stimulation and Two Sessions of Various Physical Activation.

Few studies in the literature have illustrated cold hypoalgesia induced by strength training. Objectives of this contribution were to compare the ratings of perceived pain in endurance running (n = 22) and powerlifting (n = 22) male athletes and controls (n = 22) at baseline and after two bouts of 40 min aerobic/strength training respectively, using the Cold Pressor Test (CPT) and simultaneously monitoring changes in blood pressure (BP), heart rate (HR), and body temperature. A two-way repeated measures ANOVA was conducted to examine the effects of training sessions in endurance runners vs. powerlifting athletes vs. controls on the intensity of perceived pain at CPT. A statistically significant two-way interaction between the group and training resulted in p < 0.001, ηp2 = 0.513. A simple main effects analysis showed that as the participants went through the strength training session, pain perception at CPT was significantly lower in powerlifters compared to runners and controls. Considering the physiological parameters, powerlifters reported significantly higher values of BP and HR. This difference was present at baseline but after training as well, and before and after CPT, despite a slight hypotensive effect. The differences reported after CPT at baseline, but very significantly after the strength activation session in the powerlifters, provide interesting insights into the hypoalgesic effect of high-intensity strength training.

Characteristics of reducing local scour around cylindrical pier using a horn-shaped collar

Local scour is the major cause of bridge water damage. The sediment in the riverbed around the pier is eroded and transported by water flow, leading to a loss of bridge foundation stability. In this study, a horn-shaped collar was proposed to mitigate local scour around bridge piers. The three design parameters (bottom diameter, vertical height, and curvature shape index) of the horn-shaped collar were studied under clear water condition, and the number of experimental tests was reduced to 25 by using Taguchi’s method. Main effect analysis was used to determine the optimum design parameters for the horn-shaped collar. The results show that the three design parameters have a significant effect on the scour reduction capacity of the horn-shaped collar, with the bottom diameter of the collar making the greatest contribution. The optimum values for the bottom diameter, vertical height, and curvature shape index are 5D, 0.25D, and 4, respectively (D represents the diameter of the pier), and the optimized shape of the horn-shaped collar reduces the maximum scour depth around the pier by 100% compared to the unprotected case. Based on the experimental data, prediction equations are developed for the maximum scour depth protected by a horn-shaped collar.

APPLICATION OF FRACTIONAL FACTORIAL DESIGN FOR ANALYSIS OF CUTTING ENERGY IN TURNING

Energy consumption in machining processes is a very important aspect that has been given increased importance in recent times. This article, therefore, proposes an approach for identification of the most important main and interaction effects of turning parameters regarding the cutting energy in dry longitudinal single-pass turning of low-alloyed and high-alloyed steels. Fractional factorial design was applied to arrange five parameters, namely, depth of cut, feed rate, cutting speed, rake angle and cutting edge angle at two levels. Based on the cutting tool manufacturer’s machining calculator and well-known analytical relationships, cutting energy was estimated for sixteen cutting regimes for both workpiece material groups. The analysis of obtained results involved the analysis of main and interaction effects, determination of statistically significant effects and development of cutting energy prediction models.

Investigation of machinability in turning of PTFE based on MRR and cutting energy

Polytetrafluoroethylene (PTFE) has been used as a major material for sealing structural component in semiconductor manufacturing industry. This paper focuses on the influence of cutting parameters on the machinability in turning of PTFE. The experimental design (L25) with five-level of cutting depth (ap), feed rate (vf) and cutting speed (vc) was formulated in the Taguchi method. Machinability was evaluated based on measured cutting force, chip temperature and surface roughness using signal to noise ratio, main effects diagram and analysis of variance. The results revealed that cutting depth and feed rate have significant influence on the cutting force as well as chip temperature, the feed rate (91.61 %) has significant influence on the surface roughness. Then, the effect of cutting parameters was statistically investigated using the material removal rate and cutting energy. In addition, it was found that cutting force may be disturbed by the chip removal conditions, the relation between cutting temperature and the cutting energy was established, and the micro-waves on the machined surface observed will affect the surface quality. Finally, a new machinability index MI was proposed to achieve evaluation of processing property. The optimal cutting parameters have been selected in the rough machining stage (ap = 1.0 mm, vf = 0.2 mm/rev and vc = 74.5 m/min) and in the semi-finishing stage (ap = 0.2 mm, vf = 0.1 mm/rev and vc = 94.5 m/min), respectively.

Adaptability and stability for soybean yield by AMMI and GGE models in Ethiopia.

Genotype by environment interaction (GEI) is a phenomenon that occurs in heterogeneous environments that slows breeding progress by preventing the selection of superior cultivars for breeding and commercialization. Therefore, the objectives of this study were to find out how GEI impacts soybean output and to identify the most adapted and stable genotypes. Moreover, to look at the possibility of other mega environments for testing in the future. The experiments were grown for two years in a four-replicated randomized block design at each environment. Over the course of several harvests, yield components, days to flowering, days to maturity, plant height, the number of pods per plants, the number of seeds per plant, hundred seed weight and grain yield per hectare were evaluated in the main for 2018 and 2019.To analyze the stability performance of the genotypes, general linear method, GGE and Additive main effect and multiplicative interaction effects analysis (AMMI) and ASV rank analysis were applied. The GGE biplot revealed that the GGE biplots explained 74.29% of the total variation distributed as,56.69% and 17.62% of sum of squares between principal component PC1 and PC2, respectively whereas, AMMI model, the first two interaction principal component axes (IPCA1 and IPCA2) explained 47.74% and 26.62% of the variation due to GEI, respectively, exposed genotypes identified the five as best performer. The results from the four distinct stability statistics AMMI biplot (G8, G2, G1, G11), ASV (G1, G11; (GSI; G9, G1, G11) and (GGE: G2, G8, G9) are taken into account together with the genotypes` grand mean. The genotypes JM-CLK/CRFD-15-SD (G8) and 5002T (G1), which rank among the best and have the highest seed output, are suitable for hybridization as a parent and commercial production. Therefore, genotypes JM-CLK/CRFD-15-SD (G8) and 5002T(G1) have the highest seed output were among the best and thus could be recommended for release as a new soybean varieties cultivation across.

Influence of mandibular incisor agenesis and growth pattern on symphysis characteristics: A retrospective cephalometric study.

This study was performed to investigate the effects of mandibular incisor (MnI) agenesis and divergent malocclusion type on mandibular symphysis inclination and morphology. A total of 162 selected patients were divided into two groups: one group consisted of patients with one or two congenitally missing MnIs, and another group comprised patients without tooth agenesis. Patients in each group were categorized into three divergent malocclusion groups (hypodivergent, normodivergent and hyperdivergent) according to the Frankfort mandibular plane angle, with 27 patients per group. Lateral cephalograms were used to evaluate mandibular symphysis inclination and morphology. Two-way analysis of variance, simple main effect analysis and Tukey's test were used for statistical comparisons. The agenesis group demonstrated a significantly greater retroclination of the mandibular symphysis than the non-agenesis group in the normodivergent group. In the hypodivergent and normodivergent groups, the agenesis group showed a significantly smaller area of the alveolar bone with thinner width and shorter height than the non-agenesis group. For the Japanese orthodontic patients, MnI agenesis caused a significantly great retroclination of the mandibular symphysis in patients with normodivergent malocclusion and significantly small area of the alveolar bone with thin width and short height in patients with hypo- and normodivergent malocclusions.

Different factors drive the assembly of pine and Panax notoginseng-associated microbiomes in Panax notoginseng-pine agroforestry systems.

Land-use conversion affects the composition and assembly of plant-associated microbiomes, which in turn affects plant growth, development, and ecosystem functioning. However, agroforestry systems, as sustainable land types, have received little attention regarding the dynamics of different plant-associated microbes. In this study, we used high-throughput sequencing technology to analyze the assembly mechanisms and the driving factors of pine- and Panax notoginseng (P.n.)-associated microbiomes during the conversion of different pine forests (Pinus kesiya var. langbianensis and Pinus armandii) into P.n.-pine agroforestry systems. The results showed that the conversion of pure pine forest into P.n.-pine agroforestry systems significantly altered the diversity of pine-associated fungi rather than the community structure, and the community structure of P.n.-associated fungi rather than the diversity. Additionally, plant-associated fungi were more responsive to land-use change than bacteria. Main effect analysis revealed that compartment rather than genotype was the driving factor of pine- and P.n.-associated microbiomes, but P.n. cultivation also significantly affected the assembly of pine-associated microbiomes. In addition, there was a transfer of P.n. endophytes to pine trees in agroforestry systems and the beneficial microbiomes (Massilia, Marmoricola, Herbaspirillum, etc.) were enlarged in pine roots. Therefore, the diversity of the assembly mechanisms of P.n.- and pine-associated microbiomes played an important role in the P.n.--pine agroforestry systems and were the basis for the sustainable development of the P.n.--pine agroforestry systems.

P029 Examining the Efficacy of Two Apps on Sleep and Anxiety in Children with Autism

Abstract INTRODUCTION Children with Autism Spectrum Disorder (ASD) frequently experience a range of comorbidities alongside their condition. Particularly, sleep problems and anxiety disorders are highly prevalent, and often co-occur. The present study aimed to determine if using a mindfulness app before bed could reduce overall anxiety and improve sleep quality in children with ASD. METHOD Twelve children aged 7 to 12 with an ASD diagnosis participated in a blinded two-week controlled trial testing the use of two apps before bed. Children were allocated to the experimental mindfulness app or the active sleep melodies control app via counterbalancing. RESULTS Results of 2x2 mixed model ANOVAs revealed significant pre-post improvements in both apps for parent-reported sleep problems (p < 0.05), and a significant interaction effect for parent-reported pre-sleep arousal (p <0.05). Simple main effects analysis of the interaction results revealed that these differences were due to significant improvements in the active control group (p < 0.05). DISCUSSION Potential reasons for significant improvements in the active control group may have been due to the personalised choice of sounds/melodies for the active control app, or difficulty with the comprehension of instructions in the mindfulness app for ASD children. Overall, these results provide preliminary evidence of the general benefits of using apps to aid with sleep in children with ASD.

The influence of students’ position on argumentation learning through online and face-to-face environments

ABSTRACT This study examined how students’ position on social-scientific issues (SSIs) influenced their performance on attitude toward science, science conceptual and argumentation learning. It defined two positions adopted by students regarding SSIs: affirmative and oppositional. The interactions between student position and two learning environments – online and face-to-face – were explored. A total of 214 11th-grade students from an educational priority area participated in our quasi-experimental study. They were assigned to four groups based on the two variables, position and learning environment. An online argumentation program was developed with a number of functionalities, such as sentence templates, anonymity, and asynchronous discussion blocks, to support the construction of multiple and evidence-based arguments. The findings show that the two variables significantly influenced students’ attitude toward science and science conceptual and argumentation learning. There were significant interactions between the two variables in conceptual learning and two categories of argument: warrant and qualifier. The simple main effect analysis showed that the student groups that advocated a position of environmental protection and participated in online argumentation performed best. The follow-up qualitative analysis revealed that their stronger ethical standpoint and richer learning resources facilitated their co-construction of knowledge arguments and reconciliation following dialogue conflicts.

Experimental Optimization of the Compound Angled Asymmetric Laidback Fan Shaped Film Cooling Hole

In this study, the effect of shape variables on the film cooling effectiveness of the compound angled asymmetric laidback fan shaped hole was experimentally investigated, and the optimum values of select design variables were presented. Among the shape variables of the compound angled asymmetric laidback fan shaped hole, the windward and leeward lateral expansion angles and the compound angle were selected as design variables. Test points were chosen using the central composite design method, and the selected design variables were optimized using the Kriging model. The film cooling effectiveness was measured using the PSP technique, and the experiment was conducted under the two density ratios of 1.5 and 2.0 and four blowing ratios of 1.0, 1.5, 2.0, and 2.5. Experimental results showed that the film cooling performance was improved for higher density ratios than lower density ratios. The main effects analysis indicated that larger windward and leeward lateral expansion angles induced higher film cooling effectiveness; however, the compound angle did not show consistent results. For the optimized hole at the density ratio 2.0, the results indicated that the overall averaged film cooling effectiveness of the optimized compound angled asymmetric laidback fan shaped hole was higher than that of the optimized fan shape holes of previous literature.