Two-factor Design Research Articles

Evaluation of the Possibility of Using Fuzzy C-Means Clustering, AMMI Analysis and GGE Biplot Methods to Predict the Yield of Chickpea Genotypes Cultivated in Different Environments

The purpose of this study was to evaluate the potential of using fuzzy C-means clustering, AMMI and GGE biplot analysis methods to predict the yield of chickpea (Cicer arietinum L.) genotypes grown in various environments. The trials were conducted in the Central, Silvan and Hazro districts of Diyarbakir province and Kiziltepe district of Mardin province in the Southeastern Anatolia Region of Türkiye. During the 2016 growing season, 19 chickpea genotypes were tested across four distinct environments. Multiple location experiments were used to assess the genotypes’ performance and stability. The study employed a two-factor experimental design in randomized blocks with four replications in each environment. As a result, the genotype FLIP98-206C showed the highest performance for yield (1727.3 kg ha−1) at the Diyarbakır location among all locations. On the other hand, the Diyar-95 variety showed the lowest yield (723.5 kg ha−1) at the Hazro location among all locations. The Diyarbakir location was determined as an ideal test environment for genotype selection in fuzzy C-means clustering, AMMI and GGE biplot analysis. The Silvan region was determined as the weakest environment for this purpose. It is considered that the determination of genotypes with high yield and stability in this research, in which different analysis methods were used in combination, will contribute to agricultural production.

Shared Paths to Well-Being: The Impact of Group Therapy.

This study explored the impact of an art of living intervention within group psychotherapy for depression, focusing on constructs like life satisfaction, self-efficacy, and depression. Mental illness prevalence often exceeds available treatment options, particularly in Germany, where group psychotherapy is a viable alternative. While less researched, group therapy effectively improves well-being, especially through interpersonal exchange. Meta-analyses confirm cognitive behavioral group therapy's effectiveness against depression, encouraging further investigation. This study employed a two-factor experimental design with randomized group allocation. The control group (CG) participated in weekly 50 min sessions for four weeks, while the experimental group (EG) received identical therapy plus reflective life-stimulating questions. Measures of depression, art of living, life satisfaction, and self-efficacy were taken before, after, and three months post-intervention. Among 107 participants, 52 were in the EG and 55 were in the CG. The results showed a significant 24% reduction in depression scores in the experimental group, a significant 16% increase in the art of living and a significant 19% increase in life satisfaction, while the CG showed no significant changes. Self-efficacy did not significantly improve in the EG. Follow-up data indicated sustained improvements in depression and art of living for the EG. The limitations of this study include a limited scope, practical constraints, randomization challenges and confounding variables, which are typical for experimental studies. These findings highlight the intervention's potential, suggesting future research focusing on long-term effects, personality factors and disorder-specific applications.

An Assessment of Statistical Power for Analysis of Variance with Missing Data using Multiple Imputation

This study proposes a framework for statistical power assessment in the analysis of variance (ANOVA) models with missing data handled through multiple imputation. While existing literature has examined the power for t-tests with missing data, extending these techniques to ANOVA designs with multiple group means remains an open challenge. The methodology involves incorporating the variance component into an existing power model derived for a pairwise test, enabling explicit power estimation for two-factor, three-factor, and split-plot ANOVA designs with incomplete data. Empirical evaluations across varying effect sizes, missing data rates (8%, 16%, 40%), and numbers of imputations (20, 30, 40, 100) were conducted for both monotone and arbitrary patterns of missing data. The findings reveal that while power remains high at low missing data rates, it declines substantially with increasing missingness, particularly for higher proportions of missing data. Furthermore, arbitrary patterns of missing data exhibit slightly lower power compared to monotone patterns. The number of required imputations to achieve desired power levels depends on the missing data rate, with more imputations needed for higher proportions of missing data. This study provides a framework for power analysis in ANOVA models with missing data, addressing the critical need for reliable guidance in designing studies with incomplete data

Impact of substitutions on elite soccer team performance based on player evaluation system

This research aimed to explore the performance characteristics of substitutions and to evaluate the performance of substitutions based on the player evaluation system. Event data of 643 substitutions identified from the Chinese Super League teams in the 2019-2020 season were used. The team ratings, ball possession, and expected threat of four periods (5 minutes per period before and after the substitution) of each substitution were computed. Two-step cluster analysis was performed on the team ratings at different times, and the Scheirer–Ray–Hare test was used for the two-factor design based on the cluster and the substitutions across four periods. The cluster analysis revealed 5 clusters with a Bayesian Information Criterion (BIC) value of 1,360.50. The interactions of team ratings between the periods and the clusters in different groups were detected (H = 531.96, p < .001, = 0.47). The group comparisons suggested that the ratings of Cluster 3 showed a significant decline after substitutions, which was caused by the lower ball possession while showing greater aggressiveness in terms of expected threat. The study shows how player evaluation systems can be used to measure the effectiveness of substitutions in soccer games and provides insight for further analysis of decision-making situations.

A107: The Influence of Autonomy Support on Motor Skill Learning

Background/Purpose: Learning motor skills has always been a central issue in the field of physical education. Optimization theory suggests that providing autonomy support can enhance motor learning effects. However, there is no consistent conclusion regarding whether different types of autonomy support have the same effect. This study aimed to investigate the influence of enhanced autonomy support on dart throwing skill acquisition and self-efficacy, as well as examine potential differences between task-relevant and task-irrelevant autonomy support. Method: A two-factor mixed experimental design was employed, the within-group independent variable was the testing time (pre-test and post-test), the between-group independent variable was the type of autonomy support (task-relevant choice and task-irrelevant choice). The dependent variables in this study were the participants' performance on the dart-throwing task and their level of self-efficacy. Forty-eight university students (30 males, 18 females, Mage = 22.16 years, SD = 3.28) were recruited for the experiment. Participants were required to complete a pre-test of dart throwing tasks, engage in 6 practice sessions, and undergo a post-test two days later. Self-efficacy was assessed throughout the practice phase and before the post-test. The task-relevant choice group could choose whether to watch a dart throwing instructional video during the practice phase, while the task-irrelevant choice group could change the color of the dart flights. The control group had no choices available. Results: For dart learning performance, autonomy support showed a significant main effect F(2, 41) = 3.623, p = .036 < .05, η p 2 = 0.150. The task-irrelevant choice group (6.39 ± 0.96) performed better than the task-relevant choice group (6.21 ± 0.82), with both outperforming the control group (5.51 ± 0.88). Regarding self-efficacy scores, the main effect of autonomy support was not significant (F (2, 41) = 1.471, p = .242 > .05, η p 2 = 0.067). There was little difference in self-efficacy scores among the three groups. Conclusion/Discussion: Consistent with the literature, this study suggested that providing autonomy support benefits learners in improving performance in dart throwing tasks. Task-irrelevant choices can lead to greater performance gains compared to task-relevant choices. This finding has practical implications for motor skill learning; physical education teachers can scientifically arrange teaching strategies to maximize the efficiency of physical education instruction.

Fabrication and evaluation of lidocaine-loaded thermoresponsive organogels for enhanced pain management in dry socket wounds

The study focuses on developing mucoadhesive thermoresponsive organogels for sustained lidocaine (LD) release, aiming to improve pain management in dry socket wounds. Using a three-level, two-factor full factorial design with a center point, lidocaine-loaded thermoresponsive organogels (LTG) formulations were created with varying concentrations of polyethylene glycol 400 (PEG400) and tween80 (T80), alongside key components like poloxamer407 (P407), PEG4000, and Sacha Inchi oil. Ten formulations were prepared and evaluated for particle size, polydispersity index, swelling index, viscosity, gelation temperature, and gelation time. Results revealed that PEG400 and T80 had significant quadratic or interaction effects on the LTG properties, with P407 and PEG4000 driving the thermoresponsive behavior. PEG400 and T80 notably improved mucoadhesion and increased viscosity. Higher concentrations of T80 enhanced heat tolerance, reduced swelling, and increased formulation stability, allowing autoclave sterilization, which ensures safe use on open wounds. The optimized LTP formulations provided sustained LD release for 72 h, following the Higuchi model. Biodegradability, measured by weight remaining, inversely correlated with viscosity and drug release. In vivo tests using mouse tail flick and hot plate models confirmed that LTG with high PEG400 and T80 concentrations exhibited superior anesthetic effects compared to LD hydrogel and LD solutions. These results suggest that the optimized LTG formulations offer significant potential for managing pain in dry socket wounds, combining ease of application, sustained release, and effective local anesthesia.

Effects of Treatments and Fermentation Time on Phenolic Compounds, Glycoalkaloid Contents, and Antioxidant Capacity of Industrial Potato Waste

Potato processing plants generate waste in the form of peels, pulp, and rejects, which is estimated to be around 12–20 % of their total production volume. Potato peels, pulp, and unmarketable potatoes can be processed and incorporated into animal feed formulations. However, there is a limited information on phenolic compounds from industrial potato waste (IPW) phenolic compounds subjected to short-term solid-state fermentation. Bioactive compounds could be improved via solid-state fermentation. Lactiplantibacillus plantarum (MW296876), Saccharomyces cerevisiae (MW296931), and Aspergillus oryzae (MW297015) were purposely selected to ferment IPW at 0, 24, 48, and 72 hr in a two-factor factorial design (treatment × fermentation time). The fermented products were analysed for phytochemical compounds such as total phenolic content (TPC), total flavonoid content (TFC), glycoalkaloid (GLA) content, and antioxidant capacity. The results revealed that the bioactive compounds, except phytic acid, had a significant interaction between treatment and fermentation time. Alpha solanine significantly (p<0.05) decreased while α chaconine increased (p<0.05) with fermentation time across all the treatments except in the control and L. plantarum treatment groups. IPW inoculated with L. plantarum significantly influenced the solubility of GLA compared to other treatment groups. Antioxidant capacity increased (p<0.05) across the fermentation time; at 48 hr of fermentation, L. plantarum had the highest (p<0.05) antioxidant capacity than S. cerevisiae and A. oryzae. Among the three inocula, L. plantarum (MW296876) consistently increased TPC, antioxidant activity, and solubility of both GLA and tannin.

Self-assembled latanoprost loaded soluplus nanomicelles as an ophthalmic drug delivery system for the management of glaucoma

Glaucoma, a leading cause of blindness due to elevated intraocular pressure (IOP), is managed with medications like latanoprost (LAT), a prostaglandin analogue, to enhance aqueous outflow. Despite the challenge posed by eye anatomy and tear dynamics, effective ocular bioavailability via topical administration remains elusive. This study aims to optimize self-assembled nanomicelles incorporating LAT, an anti-glaucoma drug, belonging to BCS Class II (low solubility and high permeability) via a two-level, two-factor full factorial design, the nanomicelles were formulated via direct dissolution method and validated using design of expert. The optimized nanomicelles exhibited a spherical morphology, with a size of 69 nm and encapsulation efficiency of 77.5%, demonstrating a sustained LAT release over 12 h. In normotensive rabbits, the nanomicelles elicited a substantial reduction in intraocular pressure (IOP) by up to 40% for a duration of three days, that was significantly longer than the IOP-lowering efficacy of XALATAN eye drops (24 h). These findings indicated that self-assembled nanomicelles hold promise for enhancing the ocular bioavailability and extending the therapeutic duration of LAT, while providing the physical stability.

Making a human's trust repair for an agent in a series of tasks through the agent's empathic behavior

As AI technology develops, trust in agents (including robot, AI and anthropomorphic agent) is becoming more important for more AI applications in human society. Possible ways to improve the trust relationship include empathy, success-failure series, and capability (performance). Appropriate trust is less likely to cause deviations between actual and ideal performance. In this study, we focus on the agent's empathic behavior and success-failure series to increase trust in agents. We experimentally examine the effect of empathic behavior from agent to person on changes in trust over time. The experiment was conducted with a two-factor mixed design: empathic behavior (available, not available) and success-failure series (phase 1 to phase 5). An analysis of variance (ANOVA) was conducted using data from 200 participants. The results showed an interaction between the empathic behavior factor and the success-failure series factor, with trust in the agent repairing when empathic behavior was present. This result supports our hypothesis. This study shows that designing agents to be empathic behavior is an important factor for trust and helps humans build appropriate trust relationships with agents.

Axial rotation affects the cognitive characteristics of spatial ability.

To test spatial ability in athletes with different axial rotation experience and analyze their behavioral data to explain the cognitive mechanisms of spatial ability in athletes. Experiment 1: A total of 147 athletes were selected for the paper-and-pencil mental rotation test (MRT). The athletes were separated according to three sport types: open high-spatial (OH) sport, closed high-spatial (CH) sport, closed low-spatial (CL) sport. Spatial ability testing with a two-factor mixed experimental design of 3 (sport type) × 2 (stimulus type). Experiment 2: In this study, 47 players were selected for computerized mental rotation test, with a three-factor mixed experimental design of 3 (sport type) × 2 (angle: 45°, 90°) × 3 (rotational axis: left-right axis, up-down axis, and front-back axis). Repeated-measures ANOVA was performed to evaluate the data. (1) The CH group and OH group outperformed the CL group in the non-embodied task (all ps < 0.003) and the CH group was better than the other groups in the embodied and tasks (all ps < 0.008). (2) Under 45° rotational conditions, the reaction time (RT) for the left-right (LR) and up-down (UD) axes were shorter than that for the front-back (FB) axis (all ps < 0.026). However, under 90° conditions, the RT for FB < LR < UD, with superior accuracy and rotational speed for the FB axis than for the LR and UD axes (all ps < 0.034). (3) Male players from the CH and CL groups had shorter RTs than did those from the OH group at both angles (all ps < 0.047). For female players, the CH group presented a shorter RT than the OH and CL groups did at 90° (all ps < 0.006). (4) No sex difference was found for paper and pencil MRTs, but a male advantage existed only in the CL group for computerized MRTs (p = 0.005). The motor skills associated with axial rotation could promote mental rotation performance and compensate for sex differences in mental rotation ability.

Optimization of Citrus Pulp Waste-Based Medium for Improved Bacterial Nanocellulose Production.

Bacterial nanocellulose (BC) has attracted significant attention across a wide array of applications due to its distinctive characteristics. Recently, there has been increasing interest in leveraging waste biomass to improve sustainability in BC biogenesis processes. This study focuses on optimizing the citrus pulp waste (CPW) medium to enhance BC production using Komagataeibacter sucrofermentans. The screening of initial medium pH, yeast extract, CPW sugar and inoculum concentrations was conducted using the Plackett-Burman design, with BC yield (mgDW/gCPW) as the model response. The significant parameters, i.e., CPW sugars and yeast extract concentrations, were optimized using response surface methodology, employing a five-level, two-factor central composite design. The optimized CPW-based growth medium resulted in a final yield of 66.7 ± 5.1 mgDW/gCPW, representing a 14-fold increase compared to non-optimized conditions (4.3 ± 0.4 mgBC/gCPW). Material characterization analysis indicated that the produced BC showed high thermal stability (30% mass retained at 600 °C) and a crystallinity index value of 71%. Additionally, to enhance process sustainability, spent baker's yeast hydrolysate (BYH) was assessed as a substitute for yeast extract, leading to a final BC titer of 9.3 ± 0.6 g/L.

Recovery and detection of ignitable liquid residues from the substrates by solid phase microextraction – direct analysis in real time mass spectrometry

In this study, direct analysis in real time mass spectrometry (DART-MS) was coupled to the solid phase microextraction (SPME) to extract and analyze the ignitable liquid residues (ILR) present in the sample matrices. The SPME extraction parameters, such as extraction temperature and extraction time, were optimized using a two-factor central composite design. The SPME-DART-MS setup was utilized to analyze the substrates and fire debris matrices spiked with gasoline. The results indicate that the less volatile marker compounds from gasoline were recovered from the substrates and fire debris, and their profiles matched well with the gasoline liquid samples analyzed directly by DART-MS. As expected, the effective extraction of marker compounds in gasoline required a relatively high temperature, i.e., 150 ℃. In the presence of a matrix, a higher extraction temperature and longer extraction time could benefit the extraction efficiency. The desorption of ILR on SPME fiber was performed by inserting the fiber into the DART-MS helium gas stream at 300 ℃ for 1 min with no carry-over residues being observed between successive samples. The chemical information attained with this method is typically not observed in the current GC/MS-based practice. The SPME-DART-MS was also extended to reanalyze less volatile components of ILR on substrates after the ASTM E1412 activated charcoal method, which indicates its possible application subsequent to the traditional GC/MS ILR analysis. The SPME-DART-MS has shown promise in ILR detection as an important complementary tool.

Exploring the adaptive mechanisms and strategies of various populations of Sporobolus ioclados in response to arid conditions in Cholistan desert

This study explored the drought resistance mechanisms of different populations of Sporobolus ioclados (Poaceae), locally known as “Sawri,” “Drabhri” and “Dhrbholi” native to Africa and the Indian Subcontinent. These populations were grown in conventional nursery practices at Khawaja Fareed Government College in Rahim Yar Khan, Pakistan, and subsequently subjected to four distinct levels of drought within carefully monitored experimental settings. The experiment was conducted in a two-factorial design involving populations and drought treatments and was repeated three times. The physiological and morphological responses of S. ioclados, including plant height, number of roots, root length, flag leaf area, stomatal features, proline concentration and nitrogen content, displayed significant variability in response to the imposed drought stress. Drought resulted in increases in proline concentration and nitrogen content. The number of roots decreased, while the length and width of the stomata increased in various populations. A combination of advanced statistical techniques, such as ANOVA, PCA, HCA, and DFA, provided a comprehensive understanding of the mechanism of plant adaptation and the extent of population diversity within the species. The Yazman and Nwab Wala populations exhibited the highest rates of photosynthesis and stomatal conductance, while S. ioclados demonstrated notable drought tolerance at the T4 level of drought stress. A negative correlation was found between proline levels, nitrogen contents, and photosynthesis, suggesting that proline has a protective role in drought. The diverse adaptation strategies indicated by S. ioclados populations have revealed the potential of this species for afforestation and climate change mitigation in dry environments.

The Effect of Nitrogen and Potassium Interaction on the Leaf Physiological Characteristics, Yield, and Quality of Sweet Potato

This study selected two sweet potato varieties as research subjects and conducted a field experiment using a two-factor design with two potassium (K) levels (K0 and K1) and five nitrogen (N) levels (N0–N4). The physiological changes in sweet potato leaves under different N and K treatments were measured, and nutrients such as the soluble sugar, protein, and starch content of sweet potato roots were analyzed. The results indicate that the activity of glutamine synthetase (GS) and the soluble protein content in sweet potato leaves increase first and then decrease with increasing N application, while K application can significantly increase the activity of GS and the soluble protein content. The N metabolic capacity of leaves is strongest when the fertilizer ratio is K1N2. The SPAD value of sweet potato leaves increases with increasing N application. The net photosynthetic rate, stomatal conductance, and intercellular CO2 concentration first increase and then decrease with increasing N application. K fertilizer has a significant effect on these parameters. As the N application rate increases, the starch and protein content in the tubers increase, while the soluble sugar content decreases. However, the number of tubers per plant, fresh weight of the tubers, and dry weight of the tubers increase initially and then decrease, while the vine length continuously increases. The application of K fertilizer can significantly increase the number of tubers per plant and stem thickness of sweet potato. In conclusion, the appropriate N–K combined application can promote N metabolism, enhance the photosynthetic capacity of sweet potato, increase yield, and improve quality.

Effect of the Addition of Egg White and Maltodextrin on the Characteristics of Dayak Onion Powder (Eleutherine palmifolia) by Foam Mat Drying Method

Dayak onion is a plant that has antioxidant content and chemical components that can be used as spices, flavor enhancers, fragrances, and food preservatives whose use is limited. Dayak onions that are easily damaged are processed into powder to make them more durable. The manufacture of powder products is carried out using the foam mat drying method with the addition of foaming agent, namely egg white, and foam stabilizer, namely maltodextrin. This study aims to determine the effect of the addition of egg whites and maltodextrin on the physicochemical and organoleptic characteristics of Dayak onion powder by the foam mat drying method. This study used a two-factor Complete Random Design (CRD) with three replicates. The observation data was processed using ANOVA at a confidence level of 5%, if there is a significant influence, a further DMRT test of 5% is carried out. The results showed that there was a significant interaction between the addition of egg white and maltodextrin in different moisture content, phenol content, and solubility. The best treatment was obtained with the addition of 8% egg white and 15% maltodextrin with 7.32% moisture content; 2.11% ash content; 51.08% antioxidant activity; 3.37 mg GAE/g phenol content; 46.65% solubility; 54.03 L; 21.00 a*; 11.43 b*; and color hedonic score 3.96 (quite red); aroma hedonic score 3.36 (slightly scented of Dayak onions); texture hedonic score 2.92 (slightly rough); 0.01% flavonoid content; and 9.35 ppm anthocyanin content.

Exploring the combined impact of color and editing on emotional perception in authentic films: Insights from behavioral and neuroimaging experiments

Film color and editing are crucial elements in filmmaking, posing significant questions about their effective use in eliciting emotional responses from viewers. While prior research has explored the impacts of color and editing independently, their combined effect remains largely unexplored, leaving the open question of how these elements together affect emotional perception. This study investigates the combined impact of film color and editing on emotion perception, utilizing both subjective behavioral scales and objective functional magnetic resonance imaging (fMRI) techniques. It employs two experiments with a two-factor design to assess the interactions between film color (colored and black-and-white) and film editing (fearful, neutral, and happy levels) on emotional perceptions. Under the direction of a professional filmmaker, a series of film sequences was created for six experimental conditions. In Experiment 1, 117 participants watched the film sequences and subjectively rated the emotional valence of the neutral face in the sequence, uncovering a significant interaction effect between film color and editing on the valence rating of the neutral face. In Experiment 2, 67 participants watched similar film sequences in an MRI scanner to analyze their brain activation patterns. Distinct activations were identified in regions including the insula, anterior cingulate cortices (ACC), and middle frontal gyrus, where a region-of-interest (ROI) analysis of the left ACC revealed an interaction effect on neural responses. These results underscore the integral role of color and editing in influencing viewers’ emotion perception using two types of measurements. This research provides novel insights into the behavioral and neural responses to filmmaking elements that underpin film reception and offers practical implications for filmmakers, encouraging a more holistic approach to considering color and editing to further enrich the audience’s emotional experiences at the pre-production stage of filmmaking.

The influence of temperature and β-1,3-glucans on the occurrence of white spot syndrome virus and white spot disease in post-larvae of Penaeus vannamei shrimp

Penaeus vannamei is the main species of shrimp farmed worldwide, and for Ecuador it is the first non-oil economic sector. However, various pathogens, including white spot syndrome virus (WSSV), threaten the sustainability of shrimp farming. P. vannamei larvae are susceptible to WSSV infection via vertical or horizontal transmission. To decrease the incidence of WSSV in PLs, a bioassay was performed by exposing P. vannamei shrimp (PL25), which were negative for WSSV and white spot disease (WSD), to two protective factors, water temperature (T = 24 °C and T = 31 °C), and immunestimulation using β-1,3-glucans (BG) (with and without BG added to the food), using a crossed two-factor design, for 20 days. The incidence of WSSV and WSD was modeled using generalized linear model (GLM). The strength of the association between the response and explanatory variables was estimated using the odds ratio [Exp (Beta)] and interpreted as the level of risk for the incidence of WSSV or WSD in one of the categories compared to the baseline category in the GLM. Odds ratios were considered significant if their 95 % confidence interval did not include the value 1. The results showed that BG had a significant negative effect on the number of WSSV-positive animals. In addition, a lower probability of WSSV infection was determined by combining 31 °C and BG. In this treatment, the WSD injuries were almost undetectable. Most larvae shrimps affected by WSD exhibited injuries to the antennal gland and connective tissue. In situ hybridization analysis revealed that 29 % of shrimp, initially negative by histology, were positive for WSSV. The virus was detected mainly in the nervous tissue of the head, epithelium, connective tissue of the head appendages, and the oral region surrounding the integumental glands. Apoptosis analysis showed a weak signal in nerve tissue but was more intense in epithelial cells of the head appendages, in association with cuticular damage. According to the findings, WSSV could disseminate among shrimp populations by infecting them through the TG and epithelium of the head appendage, followed by connective tissue and nervous tissue. However, applying BG at 31 °C may serve as a protective measure to reduce WSD injuries and restrict WSSV dissemination.

Interactions between feed protein source and feeding frequency on growth performance and health status of largemouth bass (Micropterus salmoides).

In order to evaluate the effects of the interaction between different proteins and feeding frequency on largemouth bass (Micropterus salmoides) and to provide scientific guidance for the application of novel proteins and the corresponding optimal feeding strategy, a two-factorial design (5 × 3) with five protein feeds (fishmeal (FM), Clostridium autoethanogenum protein (CAP), Tenebrio molitor (TM), Chlorella meal (ChM), cottonseed protein concentrate (CPC)), and three feeding frequency (1, 2, and 3 times/d; FF1, FF2, FF3) was designed in culturing largemouth bass (initial weight, 2.98 ± 0.22g/fish) for 8weeks. Z-score combined with cluster analysis was used to analyze and compare the effects of different treatments on different indicators, such as growth performance, feed utilization, antioxidant capacity, and immune response to draw a general picture of the relationship among all these massive biomarkers. The results showed that different protein sources and feeding frequencies had significant interactive effects on growth performance, feed utilization efficiency, body lipid, and health status of largemouth bass. Fish fed with ChM feed showed similar performance to that in FM group, implying its potential for complete replacement of fishmeal in largemouth bass. Fish fed with CAP, TM, and CPC feeds showed worse performance compared to FM and ChM groups, characterized by poor growth and feed utilization, enhanced stress, chronic inflammation, and varying symptoms of histological changes in the liver and intestine, which demonstrated the adverse effects of the complete replacement of fishmeal by these three proteins. In terms of feeding frequency, fish fed with FM feed in FF3 group led to liver hypertrophy, fat accumulation, and the risk of fatty liver, while inducing liver inflammation. In addition, the TM and CAP group had the higher expression levels of inflammatory factors at FF3 group, which displayed that the interactions between FM, CAP, TM feeds and feeding frequency at FF3 might aggravate the occurrence of liver inflammation and oxidative damage of hepatocytes. Overall, FF2 had higher feed efficiency, protein efficiency, antioxidant enzyme and lysozyme activities, lower MDA content, and lower gene expression of inflammatory cytokines and could be considered as the optimum feeding frequency for largemouth bass fed with different protein feeds.

Effects of cooperative learning modes on reading comprehension: general trends and comparative analysis between students with and without vision impairment

ABSTRACT It is essential to consider the impact of the cooperative learning (CL) mode when evaluating the effect of cooperative reading between students with and without vision impairment (VI) in inclusive classrooms. This research employs a within-subject two-factor experimental design to investigate the influence of the CL mode on the reading comprehension performance and cooperation level of students with and without VI, considering two text types. The independent variables are CL modes (positive interdependence <PI> vs. individual accountability <IA>) and text types (narrative vs. expository). Reading comprehension performance is the outcome-oriented variable, and cooperation level (including knowledge construction, social interaction, and content contribution) is the process-oriented variable. Findings reveal challenges for VI and sighted upper-grade elementary students in reaching higher levels of knowledge construction during cooperative reading tasks. The PI mode demonstrates higher levels of knowledge construction for narrative texts, while the IA mode shows superior content contribution for expository texts. Notably, VI students achieve lower reading comprehension scores than sighted students in the IA mode and face disadvantages in knowledge construction and content contribution across different reading comprehension scenarios. Building upon these findings, this study put forward suggestions to improve reading comprehension and cooperative participation for VI students.

The Effect of Dynamic Effects and Color Transparency of AR-HUD Navigation Graphics on Driving Behavior Regarding Inattentional Blindness

In-vehicle Augmented Reality Head-Up Displays (AR-HUDs) offer drivers integrated navigation and vehicle status information, thereby improving the driving experience. Many studies explored the effects of AR-HUD navigation design and information presentation on driving performance; however, these studies neglected the occurrence of inattentional blindness, which may lead to potential safety hazards. This study used a two-factor within-subjects design to investigate how dynamic effects (pulsation, blinking, movement) and color transparency levels (T1, T0.75, T0.5, T0.35) of AR-HUD navigation graphics influence inattentional blindness and user experience. The results indicated that color transparency significantly affects the drivers’ inattentional blindness behavior and user experience. Specifically, T0.75 resulted in the lowest inattentional blindness, while T0.5 was associated with the shortest reaction time (without blindness) and highest user satisfaction. Dynamic effects did not significantly impact inattentional blindness, but blinking reduced reaction time (without blindness). This study provides design insights for vehicle AR-HUD navigation interfaces.