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In latent growth curve modeling (LGCM), overall fit indices have garnered increased disputation for model selection, and model fit evaluation based on the mean structure has becoming popularity. The present study developed a versatile fit index, named Weighted Root Mean Squared Errors (WRMSE), based on individual case residuals (ICRs) with the aim of facilitating model selection. Through comparing to various fit indices, this study demonstrated that WRMSE could provide effective model fit information beyond previous indices. Due to higher sensitivity to misspecification in the mean structure, WRMSE was suggested to be utilized as a supplement for the traditional overall fit indices in the process of model selection. The limitation of WRMSE was that for complex models beyond the commonly used polynomial models, an increased number of repeated measurement occasions was required to ensure the precision of WRMSE. [ABSTRACT FROM AUTHOR]

Although low-protein diets can improve the nitrogen utilization efficiency and alleviate economic pressures in ruminants, they may also negatively impact dairy performance. Rumen-protected lysine (RPL) supplementation can improve the health status and growth performance of ruminants without compromising nitrogen utilization efficiency and feed intake. In this study, a total of thirty-three multiparous dairy goats in the late-lactation period were randomly divided into three groups that were separately fed the control diet (namely the protein-adequacy group), the low-protein diet (namely the protein-deficient group), and the RPL-supplemented protein-deficient diet (namely RPL-supplementation group) for five weeks. Here, we investigated the molecular mechanisms regarding how low-protein diets with RPL supplementation compromise lactation phenotypes in dairy goats through cross-tissue transcriptomic analyses. Dietary protein deficiency caused an imbalance in amino acid (AA) intake, disrupted hepatic function, and impaired milk synthesis. Transcriptomic analyses further showed that RPL supplementation exhibited some beneficial effects, like mitigating abnormal lipid and energy metabolism in the liver, elevating hepatic resistance to oxidative stress, improving the mammary absorption of AAs, as well as activating mammary lipid and protein anabolism primarily through peroxisome proliferator-activated receptor (PPAR) and janus kinase-signal transducer (JAK)—signal transducer and activator of transcription (STAT) signaling, respectively. RPL supplementation of a low-protein diet contributes to maintaining late lactation in dairy goats primarily through mitigating hepatic energy disturbances and activating both lipid and protein metabolism in the mammary glands. Since RPL supplementation initiated a series of comprised events on mammary protein and lipid metabolism as well as the hepatic function and energy generation in dairy goats under protein deficiency during late lactation, these findings thus provide some insights into how RPL supplementation helps maintain milk production and health in dairy mammals especially at late lactation. [ABSTRACT FROM AUTHOR]

Summary: Recent evidence suggests that immune thrombocytopenia (ITP), a common bleeding disorder, is linked to an imbalance in macrophage polarization and impaired bone marrow mesenchymal stem cells (BMSCs). However, the relationship between macrophage polarization imbalance and functional defects in BMSCs, as well as the involvement of associated molecules in BMSCs' defects, is not well understood. This study aimed to investigate the regulatory effects of high mobility group protein 1 (HMGB1) on the physiological functions of BMSCs, specifically in relation to macrophage polarization imbalance. Patients with ITP showed dysregulation in monocyte/macrophage polarization and impaired BMSCs function. HMGB1 was found to have a negative impact on the ability of BMSCs to regulate the imbalance in macrophage polarization, especially when inflammatory factors are present. The MyD88‐dependent pathway downstream of BMSCs was found to be significantly enhanced with HMGB1 treatment. Furthermore, treatment with toll‐like receptor 4 (TLR4) inhibitors successfully restored the regulatory capacity of BMSCs in ameliorating macrophage polarization imbalance and effectively inhibited the activation of the MyD88‐dependent pathway. Meanwhile, infusion of si‐TLR4‐BMSCs reversed HMGB1‐induced platelet dysfunction and reduced over‐polarization to M1‐like macrophages in the ITP mouse model. Consequently, targeting the HMGB1‐TLR4 pathway could be a potential approach to restore the immunoregulatory function of BMSCs. [ABSTRACT FROM AUTHOR]

Linear mixed-effects models have been increasingly used to analyze dependent data in psychological research. Despite their many advantages over ANOVA, critical issues in their analyses remain. Due to increasing random effects and model complexity, estimation computation is demanding, and convergence becomes challenging. Applied users need help choosing appropriate methods to estimate random effects. The present Monte Carlo simulation study investigated the impacts when the restricted maximum likelihood (REML) and Bayesian estimation models were misspecified in the estimation. We also compared the performance of Akaike information criterion (AIC) and deviance information criterion (DIC) in model selection. Results showed that models neglecting the existing random effects had inflated Type I errors, unacceptable coverage, and inaccurate R-squared measures of fixed and random effects variation. Furthermore, models with redundant random effects had convergence problems, lower statistical power, and inaccurate R-squared measures for Bayesian estimation. The convergence problem is more severe for REML, while reduced power and inaccurate R-squared measures were more severe for Bayesian estimation. Notably, DIC was better than AIC in identifying the true models (especially for models including person random intercept only), improving convergence rates, and providing more accurate effect size estimates, despite AIC having higher power than DIC with 10 items and the most complicated true model. [ABSTRACT FROM AUTHOR]

Recent years have witnessed the emergence of measurement models for analyzing action sequences in computer-based problem-solving interactive tasks. The cutting-edge psychometrics process models require pre-specification of the effectiveness of state transitions often simplifying them into dichotomous indicators. However, the dichotomous effectiveness becomes impractical when dealing with complex tasks that involve multiple optimal paths and numerous state transitions. Building on the concept of problem-solving, we introduce polytomous indicators to assess the effectiveness of problem states d s and state-to-state transitions Δ d s → s ′ . The three-step evaluation method for these two types of indicators is proposed and illustrated across two real problem-solving tasks. We further present a novel psychometrics process model, the sequential response model with polytomous effectiveness indicators (SRM-PEI), which is tailored to encompass a broader range of problem-solving tasks. Monte Carlo simulations indicated that SRM-PEI performed well in the estimation of latent ability and transition tendency parameters across different conditions. Empirical studies conducted on two real tasks supported the better fit of SRM-PEI over previous models such as SRM and SRMM, providing rational and interpretable estimates of latent abilities and transition tendencies through effectiveness indicators. The paper concludes by outlining potential avenues for the further application and enhancement of polytomous effectiveness indicators and SRM-PEI. [ABSTRACT FROM AUTHOR]

Computerized adaptive testing (CAT) aims to present items that statistically optimize the assessment process by considering the examinee's responses and estimated trait levels. Recent developments in reinforcement learning and deep neural networks provide CAT with the potential to select items that utilize more information across all the items on the remaining tests, rather than just focusing on the next several items to be selected. In this study, we reformulate CAT under the reinforcement learning framework and propose a new item selection strategy based on the deep Q-network (DQN) method. Through simulated and empirical studies, we demonstrate how to monitor the training process to obtain the optimal Q-networks, and we compare the accuracy of the DQN-based item selection strategy with that of five traditional strategies—maximum Fisher information, Fisher information weighted by likelihood, Kullback‒Leibler information weighted by likelihood, maximum posterior weighted information, and maximum expected information—on both simulated and real item banks and responses. We further investigate how sample size and the distribution of the trait levels of the examinees used in training affect DQN performance. The results show that DQN achieves lower RMSE and MAE values than traditional strategies under simulated and real banks and responses in most conditions. Suggestions for the use of DQN-based strategies are provided, as well as their code. [ABSTRACT FROM AUTHOR]

Background: Environmental heat stress (HS) can have detrimental effects on milk production by compromising the mammary function. Mammary plasma flow (MPF) plays a crucial role in nutrient supply and uptake in the mammary gland. In this experiment, we investigated the physiological and metabolic changes in high-yielding cows exposed to different degrees of HS: no HS with thermal-humidity index (THI) below 68 (No-HS), mild HS (Mild-HS, 68 ≤ THI ≤ 79), and moderate HS (Mod-HS, 79 < THI ≤ 88) in their natural environment. Our study focused on the changes in blood oxygen supply and mammary glucose uptake and utilization. Results: Compared with No-HS, the MPF of dairy cows was greater (P < 0.01) under Mild-HS, but was lower (P < 0.01) in cows under Mod-HS. Oxygen supply and consumption exhibited similar changes to the MPF under different HS, with no difference in ratio of oxygen consumption to supply (P = 0.46). The mammary arterio-vein differences in glucose concentration were lower (P < 0.05) under Mild- and Mod-HS than under no HS. Glucose supply and flow were significantly increased (P < 0.01) under Mild-HS but significantly decreased (P < 0.01) under Mod-HS compared to No-HS. Glucose uptake (P < 0.01) and clearance rates (P < 0.01) were significantly reduced under Mod-HS compared to those under No-HS and Mild-HS. Under Mild-HS, there was a significant decrease (P < 0.01) in the ratio of lactose yield to mammary glucose supply compared to that under No-HS and Mod-HS, with no difference (P = 0.53) in the ratio of lactose yield to uptaken glucose among different HS situations. Conclusions: Degrees of HS exert different influences on mammary metabolism, mainly by altering MPF in dairy cows. The output from this study may help us to develop strategies to mitigate the impact of different degrees of HS on milk production. [ABSTRACT FROM AUTHOR]

Background: Alzheimer's disease (AD) and frontotemporal dementia (FTD) are the two most common neurodegenerative dementias, presenting with similar clinical features that challenge accurate diagnosis. Despite extensive research, the underlying pathophysiological mechanisms remain unclear, and effective treatments are limited. This study aims to investigate the alterations in brain network connectivity associated with AD and FTD to enhance our understanding of their pathophysiology and establish a scientific foundation for their diagnosis and treatment. Methods: We analyzed preprocessed electroencephalogram (EEG) data from the OpenNeuro public dataset, comprising 36 patients with AD, 23 patients with FTD, and 29 healthy controls (HC). Participants were in a resting state with eyes closed. We estimated the average functional connectivity using the Phase Lag Index (PLI) for lower frequencies (delta and theta) and the Amplitude Envelope Correlation with leakage correction (AEC-c) for higher frequencies (alpha, beta, and gamma). Graph theory was applied to calculate topological parameters, including mean node degree, clustering coefficient, characteristic path length, global and local efficiency. A permutation test was then utilized to assess changes in brain network connectivity in AD and FTD based on these parameters. Results: Both AD and FTD patients showed increased mean PLI values in the theta frequency band, along with increases in average node degree, clustering coefficient, global efficiency, and local efficiency. Conversely, mean AEC-c values in the alpha frequency band were notably diminished, which was accompanied by decreases average node degree, clustering coefficient, global efficiency, and local efficiency. Furthermore, AD patients in the occipital region showed an increase in theta band node degree and decreased alpha band clustering coefficient and local efficiency, a pattern not observed in FTD. Conclusions: Our findings reveal distinct abnormalities in the functional network topology and connectivity in AD and FTD, which may contribute to a better understanding of the pathophysiological mechanisms of these diseases. Specifically, patients with AD demonstrated a more widespread change in functional connectivity, while those with FTD retained connectivity in the occipital lobe. These observations could provide valuable insights for developing electrophysiological markers to differentiate between the two diseases. [ABSTRACT FROM AUTHOR]

The conditioning regimen is an important part of autologous hematopoietic stem cell transplantation (ASCT). We explored the efficacy and safety of an optimized BEAC (adjusted-dose, intermediate-dose cytarabine and reduced-dose cyclophosphamide, AD-BEAC) conditioning regimen for non-Hodgkin lymphoma (NHL). A total of 141 NHL patients received AD-BEAC or a standard-dose BEAC (SD-BEAC) conditioning regimen from January 2007 to December 2017, and 104 patients were included in the study after 1:1 propensity matching. The 5-year overall survival (OS) and progression free survival (PFS) rates were significantly higher with AD-BEAC than with SD-BEAC (82.7% vs. 67.3%, P = 0.039; 76.9% vs. 57.7%, P = 0.039). Transplant-related mortality (TRM) was 3.8% in both the AD-BEAC and SD-BEAC groups. The AD-BEAC group had lower incidence of oral ulcers and cardiotoxicity than the SD-BEAC group. An optimized BEAC conditioning regimen is an effective conditioning regimen for ASCT in NHL with acceptable toxicity, that is more effective and safer than a standard BEAC conditioning regimen. [ABSTRACT FROM AUTHOR]

Aims/Introduction: To assess the effect of empagliflozin treatment on left ventricular (LV), right ventricular (RV) and left atrial (LA) functions in diabetes patients with normal ejection fraction. Materials and Methods: The study included a total of 128 diabetes patients with multiple cardiovascular risk factors who were subjected to a 6‐month follow up from the initiation of empagliflozin treatment. Before and after treatment with empagliflozin, LV, RV and LA strain, and noninvasive myocardial work parameters were evaluated by speckle tracking echocardiography. Results: In 128 diabetes patients (mean age 56 ± 8 years, 85 men) with multiple cardiovascular risk factors, myocardial strain and work parameters were impaired, despite the absence of significant clinical symptoms of heart failure. After 6‐month treatment with empagliflozin, the absolute value of LV strain in all directions increased, represented by LV global longitudinal strain (−18.0 ± 1.7% to −19.2 ± 1.7% [mean ± SD]). The same trend in LV global work efficiency (93 [91–94] % to 94 [93–95] % [median (IQR)]), RV free‐wall longitudinal strain (−24.0 ± 2.7% to −25.0 ± 2.8%), LA reservoir (31 ± 5% to 34 ± 5%) and conduit strain (−14 ± 4% to −16 ± 4%) was also observed. LV mass index (106.9 ± 16.8–103.6 ± 16.4 g/m2) and LV global wasted work (143 [111–185] mmHg% to 108 [88–141] mmHg%) decreased after treatment (P < 0.05 for all). LV volume and LA volume index remained unchanged after treatment. In the multivariable analysis, the change in LA reservoir strain (β = 0.050, P = 0.035) and baseline global longitudinal strain (β = −0.488, P < 0.001) were independent predictors of improvement in LV global longitudinal strain. Conclusions: This study suggests that 6‐month treatment with empagliflozin improved LV, RV and LA functions in diabetes patients with normal ejection fraction. [ABSTRACT FROM AUTHOR]

Simple Summary: Methionine dipeptide (Met-Met) could improve milk protein synthesis in bovine epithelia mammary cells and lactating mice, while the effects of Met-Met on lactating dairy cows have not been explored. We hypothesized that supplementation of Met-Met could improve lactation performance of dairy cows. In this study, we elucidated the effects of different forms of Met-Met (rumen-protected and -unprotected) on lactation performance, rumen fermentation and microbiota profile of dairy cows. Results provided the first evidence that Met-Met supplementation can improve lactation performance of dairy cows, and suggested that the rumen-protected form presents greater benefits on milk performance and rumen behavior. Methionine dipeptide (Met-Met) could improve milk protein synthesis in bovine epithelia mammary cells and lactating mice, while the effects of Met-Met on lactation performance, rumen fermentation and microbiota profile in lactating dairy cows have not been explored. For this reason, 60 Chinese lactating Holstein cows were allocated into three treatment groups: control group (CON), 6 g/d methionine dipeptide group (MM), and 6.12 g/d rumen-protected methionine dipeptide group (RPMM). The experiment lasted for 10 weeks to monitor lactation performance, plasma amino acid profile and rumen fermentation parameters and microbiota profile. Results showed that MM increased the energy-corrected milk (ECM), and RPMM increased both milk yield and ECM (p < 0.05). The milk protein concentration and yield were increased by MM and RPMM (p < 0.05). The rumen fermentation showed that RPMM increased total volatile fatty acids, acetate and valerate concentrations (p < 0.05). The relative abundance of Firmicutes, including Succiniclasticum, Selenomonas and Clostridium_XlVa, were enriched and the Prevotella was decreased by RPMM (p < 0.05). In summary, daily supplementing with 6 g of MM or RPMM in lactating dairy cows could improve milk yield and both percentage and yield of milk protein, and RPMM benefited the rumen fermentation and altered the bacterial composition. These results provided the first evidence that Met-Met supplementation can improve lactation performance of dairy cows. [ABSTRACT FROM AUTHOR]

Low test-taking effort of examinees has been considered a source of construct-irrelevant variance in item response modeling, leading to serious consequences on parameter estimation. This study aims to investigate how non-effortful response (NER) influences the estimation of item and person parameters in item-pool scale linking (IPSL) and whether differential NER for two groups has a different effect on parameter estimation under the equivalent and non-equivalent group designs. Three simulation studies and an empirical study were conducted to answer these research questions. Results show that NER on items in a certain item set (e.g. common new items, exclusive new items) have a dominant negative effect on parameter estimation of items from the same item set, while NER on items from the item pool would seriously impact the accuracy of ability parameters. Discussions and recommendations for item set orders are provided. [ABSTRACT FROM AUTHOR]

Bidirectional relations have long been of interest in psychology and other social behavioral sciences. In recent years, the widespread use of intensive longitudinal data has provided new opportunities to examine dynamic bidirectional relations between variables. However, most previous studies have focused on the effect of one variable on the other (i.e., cross-lagged effects) rather than the overall effect representing the dynamic interplay between two variables (i.e., feedback effects), which we believe may be due to a lack of relevant methodological guidance. To quantify bidirectional relations as a whole, this study attempted to provide guidance for the estimation and interpretation of feedback effects based on dynamic structural equation models. First, we illustrated the estimation procedure for the average and person-specific feedback effects. Then, to facilitate the interpretation of feedback effects, we established an empirical benchmark by quantitatively synthesizing the results of relevant empirical studies. Finally, we used a set of empirical data to demonstrate how feedback effects can help (a) test theories based on bidirectional relations and (b) reveal correlates of individual differences in bidirectional relations. We also discussed the broad application prospects of feedback effects from a dynamic systems perspective. This study provides guidance for applied researchers interested in further examining feedback effects in bidirectional relations, and the shift from focusing on cross-lagged effects only to a comprehensive consideration of feedback effects may provide new insights into the study of bidirectional relations. [ABSTRACT FROM AUTHOR]

To evaluate the changes of cardiac morphology and function in fetuses conceived through assisted reproductive technologies (ART) by speckle tracking echocardiography. A retrospective study was conducted in 101 spontaneously conceived (SC) fetuses and 99 ART-conceived ones. Fetal echocardiography was performed, fetal cardiac morphology and function were analyzed using two-dimensional speckle tracking software, including global sphericity index (GSI), global longitudinal strain (GLS), fractional area change (FAC) of the left and right ventricles, as well as segmental sphericity index (SI), end-diastolic diameter (ED), and fractional shortening (FS) in 24 segments. Compared to the SC fetuses, the ART-conceived fetuses exhibited decreased GSI (median [interquartile range], 1.22 [1.16–1.27] vs. 1.18 [1.11–1.24], p=0.007), decreased right ventricular GLS (24.9 [21.5–27.6] vs. 23.2 [20.4–26.8], p=0.026), and decreased right ventricular FAC (mean ± standard deviation, 39.7 ± 6.4 vs. 37.2 ± 7.1, p=0.003). Analysis of the 24 segments showed that ART-conceived fetuses had reduced SI in the apical segments of right ventricle and increased ED in several segments of the right ventricle. Fetuses conceived through ART had a more spherical shape of the global heart and predominantly right-sided cardiac remodeling and systolic function impairment. [ABSTRACT FROM AUTHOR]

Inspired by complex system theory, this study adopts a multilevel piecewise regression model to examine the relationship between homework time and the development of students in different grades using a large‐scale testing database in China. The results indicate that the relationship between homework time and students' performance is positive when homework time is less than the cut‐off values and becomes negative when homework time is greater than the cut‐off values. For different dependent variables, the cut‐off values of homework time differ but are all within a range (1–1.2 h for grade 4 and 1.7–2 h for grade 8). The reasons for the difference in cut‐off values among students in different grades are discussed. [ABSTRACT FROM AUTHOR]

Starting from the traditional form of “graphic” architectural education, this paper explores a teaching method of entity construction experience, instrument assistance, and digital virtual expression symbiosis symbiosis from three aspects: environmental perception, ontology perception, and extension perception. Using physical perception as a medium, and gradually rising from active perception to a comprehensive expression of visual audience perception through practical operation, it allows students to have a more comprehensive understanding of the meaning of architectural design on the basis of the “graphic” expression paradigm. [ABSTRACT FROM AUTHOR]

Diabetic nephropathy (DN), a common microvascular complicating disease of diabetes. Lupenone, a pentacyclic triterpenoid, has anti-inflammatory effects and can prevent type 2 diabetes mellitus and treat renal damage, however, the effects and mechanisms of lupenone in DN remain unclear. Thereby,the MTT method was used to investigate the antiproliferative effect of lupenoneon the cell line rat glomerular mesangial cells (HBZY-1). Molecular docking was used to investigate the combination of lupenone and MCP-1, IL-1β, TNF-α, IKKβ, IκBα, and NF-κB p65 proteins. The expression of mRNA of the pro-inflammatory cytokines (MCP-1, IL-1β and TNF-α) and the NF-κB signalling pathway in HBZY-1 cells were assessed by RT-PCR. The protein expressions of pro-inflammatory cytokines and NF-κB pathway were got by Western blot. Result showed that lupenone inhibited the proliferative activity of HBZY-1 cells at non-cytotoxic concentrations. Molecular docking results showed that lupenone combined well with the target proteins. Moreover, lupenone could significantly reduced the mRNA and protein expressions for pro-inflammatory cytokines and IKKβ, p-p65 and p-IκBα. Lupenone may play an anti-inflammatory role in DN treatment by inhibiting the NF-κB signalling pathway. These results provided a new understanding of the pharmacological mechanisms of lupenone in treatment of DN. [ABSTRACT FROM AUTHOR]

In the human-to-human Collaborative Problem Solving (CPS) test, students' problem-solving process reflects the interdependency among partners. The high interdependency in CPS makes it very sensitive to group composition. For example, the group outcome might be driven by a highly competent group member, so it does not reflect all the individual performances, especially for a low-ability member. As a result, how to effectively assess individuals' performances has become a challenging issue in educational measurement. This research aims to construct the measurement model to estimate an individual's collaborative problem-solving ability and correct the impact of partners' abilities. First, 175 eighth graders' dyads were divided into six cooperative groups with different levels of problem-solving (PS) ability combinations (i.e., high-high, high-medium, high-low, medium-medium, medium–low, and low-low). Then, they participated in the test of three CPS tasks, and the log data of the dyads were recorded. We applied Multidimensional Item Response Theory (MIRT) measurement models to estimate an individual's CPS ability and proposed a mean correction method to correct the impact of group composition on individual ability. Results show that (1) the multidimensional IRT model fits the data better than the multidimensional IRT model with the testlet effect; (2) the mean correction method significantly reduced the impact of group composition on obtained individual ability. This study not only successfully increased the validity of individuals' CPS ability measurement but also provided useful guidelines in educational settings to enhance individuals' CPS ability and promote an individualized learning environment. [ABSTRACT FROM AUTHOR]

Oxidative stress is a risk factor for mammary health, resulting in decreased milk yield and milk quality. Application of exogenous bioactive compounds has been a research focus of antioxidation of animals in the mammary gland. Quercetin is a flavonoid extracted from vegetables, fruits and tea and has been shown to have a variety of biological activities, but the effect of quercetin on redox imbalance in mammary epithelial cells is unclear. In this study, cells of HC11, a mouse mammary epithelial cell line, were treated with quercetin, and the effects and molecular mechanisms of quercetin protection on hydrogen peroxide-induced oxidative stress were studied. Results showed that 20 μΜ quercetin attenuated hydrogen peroxide-induced lactate dehydrogenase release and reactive oxygen species (ROS) accumulation and alleviated the reduction of cell viability and antioxidant capacity. Quercetin significantly restored the activation of mitogen-activated protein kinase (MAPK) and nuclear factor E2-related factor 2 (Nrf2) pathways induced by hydrogen peroxide. Importantly, the inhibitors of p38 MAPK and extracellular regulated protein pathways affected the activation of Nrf2 pathway. All inhibitors of MAPK and Nrf2 pathways reduced the protective effects of quercetin on cell proliferation, the activity of catalase and the expression of glutamate-cysteine ligase modifier subunit. Meanwhile, the effects of quercetin on the production of ROS and expression of glutamate/cystine reverse transporter light chain were mainly dependent on Nrf2 pathway. In summary, the protective effect of quercetin in mammary epithelial cells was mediated via MAPK and Nrf2 pathways. [ABSTRACT FROM AUTHOR]

Objective: Do real-time strategy (RTS) video gamers have better attentional control? To examine this issue, we tested experienced versus inexperienced RTS video gamers on multi-object tracking tasks (MOT) and dual-MOT tasks with visual or auditory secondary tasks (dMOT). We employed a street-crossing task with a visual working memory task as a secondary task in a virtual reality (VR) environment to examine any generalized attentional advantage. Background: Similar to action video games, RTS video games require players to switch attention between multiple visual objects and views. However, whether the attentional control advantage is limited by sensory modalities or generalizes to real-life tasks remains unclear. Method: In study 1, 25 RTS video game players (SVGP) and 25 non-video game players (NVGP) completed the MOT task and two dMOT tasks. In study 2, a different sample with 25 SVGP and 25 NVGP completed a simulated street-crossing task with the visual dual task in a VR environment. Results: After controlling the effects of the speed-accuracy trade-off, SVGP showed better performance than NVGP in the MOT task and the visual dMOT task, but SVGP did not perform better in either the auditory dMOT task or the street-crossing task. Conclusion: RTS video gamers had better attentional control in visual computer tasks, but not in the auditory tasks and the VR tasks. Attentional control benefits associated with RTS video game experience may be limited by sensory modalities, and may not translate to performance benefits in real-life tasks. [ABSTRACT FROM AUTHOR]

In computer simulation-based interactive tasks, different people make different response processes to the same tasks, resulting in various action sequences. These sequences contain rich information, not only about respondents, but also about tasks. In this study, we propose a state response (SR) measurement model with a Bayesian approach for analyzing the process sequences, which assumes that each action made is determined by the individual's problem-solving ability and the easiness of the current problem state. This model is closer to reality compared with the action sub-model (referred to as DC model) of Chen's (2020) continuous-time dynamic choice (CTDC) measurement model that defines the easiness parameter only at the task level and ignores the task's process characteristics. The simulation study showed that the SR model performed well in parameter estimation. Moreover, the estimation accuracy of the SR model was quite similar to that of the DC model when state easiness parameters were equal within the task, but was much higher when within-task state easiness parameters were unequal. For the empirical data from the Program for International Student Assessment 2012, the SR model showed better model fit than the DC model. The estimates for state easiness parameters within each task were obviously different and made sense for characterizing task steps, further demonstrating the rationality of the proposed SR model. [ABSTRACT FROM AUTHOR]

Profiling victimization and examining the role of school protective factors could help educators to intervene in bullying effectively. To advance a more comprehensive understanding of bullying victimization, both face-to-face and cyberbullying victimization were considered in profiling victimization, and the preventive role of school anti-bullying norms against bullying victimization was examined specifically in the present study. We used a large data set of 31,362 students in the fifth to twelfth grade from 68 schools in southwest China. We identified three types of victimization through a latent class analysis (LCA) that included "all-type victimization" (Class 1: 7.8%), "verbal-relational victimization" (Class 2: 32.8%), and "non-victimization" (Class 3: 59.4%). We then performed multinomial logistic regression to interpret the nature of the latent classes. We estimated their associations with gender, grade, and parental punishment, and tested the moderation effects of school anti-bullying norms on these relationships. The results indicated that males were at a higher risk of experiencing all-type victimization than females. Students in higher grades and those whose parents scolded or physically disciplined them were at a higher risk of being in Class 1 and Class 2. We found that positive school anti-bullying norms could alleviate victimization and buffer its correlation with associated factors, including gender, grade, and parental disciplinary practices. These findings highlighted the heterogeneity of the students' victimization experiences and the protective role of school anti-bully norms. Moreover, these findings could have important implications for research and practices designed to address the impacts and develop intervention strategies for the victims of bullying. [ABSTRACT FROM AUTHOR]

Background: Pulmonary infection (PI) and urinary tract infection (UTI) have been the most common cause of hospitalization and most frequent infection respectively in older people with disability (OPWD). Long‐term care insurance (LTCI) policy, intending to provide services to reduce the disease burden of OPWD, it remains unclear whether LTCI could reduce PI‐, and UTI‐related hospitalizations. This quasi‐experimental study aimed to assess the influences of LTCI on all‐cause, especially PI‐ and UTI‐related hospitalizations among OPWD and the variation across sociodemographic characteristics. Methods: 32,120 participants in the Chengdu Long‐term Care Insurance cohort were considered the intervention group, and 2,704 not covered by the LTCI were in the control group. A total of 3,134,160 hospitalization records were collected between January 2014 and June 2021. A doubly robust difference‐in‐differences (DID) method was used to estimate the average treatment effect on the treated (ATT), indicating the average effect of LTCI on intervention group. Results: The average monthly all‐cause, PI‐, and UTI‐related hospitalization rates were 16.3%, 4.0% and 0.5% in the intervention group, respectively, and were 19.3%, 3.9% and 0.5% in the control group, respectively. Under LTCI, all‐cause (ATT [95% CI]: 7.15% [6.41%, 7.88%]), PI‐ (3.25% [2.76%, 3.74%]), and UTI‐related hospitalizations (0.46% [0.28%, 0.64%]) were decreased. The influences of LTCI became significant after 5 months since the LTCI implementation and remained stable over time. The impact was more pronounced among those with longer coverage. The overall reduction was stronger in those who were not married, lived alone, and resided in institutions. Conclusions: LTCI may reduce the occurrence of all‐cause, PI‐, and UTI‐related hospitalizations in OPWD, with stronger influences observed over an extended period of implementation. The implementation of LTCI can play a role in reducing the burden of infectious diseases in OPWD and the care burden of families and society. [ABSTRACT FROM AUTHOR]

Background and objectives: This study focused on changes in intestinal motility during different sleep stages based on long-term bowel sounds. Methods: A modified higher order statistics algorithm was devised to identify the effective bowel sound segments. Next, characteristic values (CVs) were extracted from each bowel sound segment, which included 4 time-domain, 4 frequency-domain and 2 nonlinear CVs. The statistical analysis of these CVs corresponding to the different sleep stages could be used to evaluate the changes in intestinal motility during sleep. Results: A total of 6865.81 min of data were recorded from 14 participants, including both polysomnographic data and bowel sound data which were recorded simultaneously from each participant. The average accuracy, sensitivity and specificity of the modified higher order statistics detector were 96.46 ± 2.60%, 97.24 ± 2.99% and 94.13 ± 4.37%. In addition, 217088 segments of effective bowel sound corresponding to different sleep stages were identified using the modified detector. Most of the CVs were statistically different during different sleep stages ( p < 0.05 ). Furthermore, the bowel sounds were low in frequency based on frequency-domain CVs, high in energy based on time-domain CVs and low in complexity base on nonlinear CVs during deep sleep, which was consistent with the state of the EEG signals during deep sleep. Conclusions: The intestinal motility varies by different sleep stages based on long-term bowel sounds using the modified higher order statistics detector. The study indicates that the long-term bowel sounds can well reflect intestinal motility during sleep. This study also demonstrates that it is technically feasible to simultaneously record intestinal motility and sleep state throughout the night. This offers great potential for future studies investigating intestinal motility during sleep and related clinical applications. [ABSTRACT FROM AUTHOR]

This study aimed to explore the associations of COX‐2 polymorphisms rs5275, rs20417, and rs2745557 with the susceptibility to ankylosing spondylitis among Chinese Han people. Polymerase chain reaction‐restriction fragment length polymorphism (PCR/RFLP) was adopted for genotyping COX‐2 polymorphisms rs5275, rs20417, and rs2745557 among 109 AS patients and 122 healthy controls. Genotype distribution in the control group was examined for these three polymorphisms to test whether it conformed to Hardy‐Weinberg equilibrium (HWE) expectation. A χ2‐test was employed to compare genotype and allele frequencies between the two groups. Besides this, logistic regression analyses were also performed to adjust age and gender. A p less than.05 represented a significant level. Genotype distribution of our studied polymorphisms showed fine conformity to HWE in the controls. An increasing effect on AS risk was detected for the polymorphism rs5275 under GG versus AA contrast (crude: OR, 3.040; 95% CI, 1.015–9.104), and the adjustment for age and gender did not change such a relationship (adjusted OR, 3.307; 95% CI, 1.065–10.268). After adjusting age and gender, both polymorphisms of rs20417 and rs2745557 demonstrated a negative relationship with the disease susceptibility. The GC genotype and C allele of rs20417 reduced the disease risk to 0.248 (adjusted: 95% CI, 0.089–0.692) and 0.269 (95% CI, 0.098–0.733), respectively, while the AA genotype and A allele of the latter to 0.413 (adjusted: 95% CI, 0.191–0.893) and 0.676 (adjusted: 95% CI, 0.466–0.981), respectively. Among Chinese Han people, COX‐2 polymorphism rs5275 may contribute to increased risk of developing AS, while the polymorphisms rs20417 and rs2745557 may offer protection against disease incidence. [ABSTRACT FROM AUTHOR]

Background: Rises in global warming and extreme weather occurrence make the risk of heat stress (HS) induced by high ambient temperatures more likely in high-yielding dairy cows, resulting in low milk quality and yield. In animals, oxygen is involved in many physiological and metabolic processes, but the effects of HS on oxygen metabolism remain unclear. Thus, the current study aimed to investigate how oxygen metabolism plays a role in health status of dairy cows by measuring the milk yield, milk composition, and blood biochemical variables of cows under different levels of HS: none (No-HS), mild (Mild-HS), and moderate HS (Mod-HS). Results: The HS significantly increased rectal temperature (Ptreat < 0.01) and respiration rate (Ptreat < 0.01). Under Mod-HS, greater Na+ (P < 0.05) and lower total CO2, and pH (P < 0.05) were observed relative to those under No-HS and Mild-HS. Oxygen concentrations in both coccygeal artery and mammary vein (Ptreat < 0.01) were lower under Mod-HS than under No-HS. Coccygeal vein concentrations of heat shock protein 90 (HSP90) (P < 0.05) increased during Mod-HS compared with those in cows under No-HS. Malondialdehyde increased during Mod-HS, and glutathione peroxidase (P < 0.01) increased during Mild-HS. Coccygeal vein concentrations of vascular endothelial growth factor (P < 0.01), heme oxygenase-1 (P < 0.01), and hypoxia-inducible factor 1α (P < 0.01) were greater in cows under Mod-HS than those under No-HS. Red blood cell count (P < 0.01) and hemoglobin concentration (P < 0.01) were lower in the coccygeal vein of dairy cows under Mild- and Mod-HS than those of cows under No-HS. Conclusions: Exposure to HS negatively impacts the health status and lactation performance of dairy cows by limiting oxygen metabolism and transportation. However, the specific mechanism by which HS affects mammary function in cows remains unclear and requires further exploration. [ABSTRACT FROM AUTHOR]

The problem of information security and copyright protection of video is becoming increasingly prominent. The current video watermarking algorithm does not have strong anti-compression, which has a significant impact on the visual effect of video. To solve this problem, this paper proposes a video watermarking algorithm based on H.264/AVC. The algorithm combines the non-zero quantization coefficient and the energy factor to select the appropriate chroma subblock, and then an optimized modulation is designed to embed the watermark into its DCT quantization coefficients in order to minimize the number of modifications of the subblocks. The invisibility and robustness experiments of the algorithm are conducted in the paper, and the Structural Similarity Indexes are above 0.99, and the False Bit Rates are all below 0.03. The results show that the algorithm has good invisibility, anti-compression performance and obvious advantages compared with other similar methods. [ABSTRACT FROM AUTHOR]

Peroxisome proliferator-activated receptor alpha (PPARA) has been suggested as a therapeutic target for chronic lymphocytic leukemia (CLL). However, the underlying molecular mechanism remains largely unclear. In this study, we analyzed DNA next-generation sequencing (NGS) data and clinical information from 86 CLL patients to identify gene markers related to treatment-free survival (TFS) length. We then constructed a genetic network that includes CLL promoters, treatment targets, and TFS-related marker genes. To assess the significance of PPARA within the network, we utilized degree centrality (DC) and pathway enrichment score (EScore). Clinical and NGS data revealed 10 TFS length-related gene markers, including RPS15, FOXO1, FBXW7, KMT2A, NOTCH1, GNA12, EGR2, GNA13, KDM6A, and ATM. Through literature data mining, 83 genes were identified as CLL upstream promoters and treatment targets. Among them, PPARA exhibited a stronger connection to CLL and TFS-related gene markers, as evidenced by its ranking at No. 13 based on DC, compared to most of the other promoters (>84%). Additionally, PPARA co-functions with 70 out of 92 in-network genes in various functional pathways/gene groups related to CLL pathology, such as regulation of cell adhesion, inflammation, reactive oxygen species, and cell differentiation. Based on our findings, PPARA is considered one of the critical genes within a large genetic network that influences the prognosis and TFS of CLL through multiple pathogenic pathways. [ABSTRACT FROM AUTHOR]

Background: In recent years, minimally invasive and non-invasive rejuvenation methods have been welcomed. PRP has been used widely for skin rejuvenation, but there are few studies on PRP for lip rejuvenation. Objective: The objective of this study was to investigate the preliminary effects of PRP for lip rejuvenation. Methods: Between October 2018 and April 2023, 15 participants with lip aging (1 male, 14 females; range 27–58 years) were treated with PRP. The follow-up time was 3 to 24months. After 3 to 6 times treatments, beauty seekers and experienced physicians jointly evaluated effectiveness of treatment. The assessment included improvements in the colour, wrinkles, and skin texture of the lips before and after treatment. Results: According to the beauty seekers and Surgeons 'evaluation, the aging characteristics of the lips of the 15 beauty seekers have been improved to varying degrees. The most obvious improvement was that the color of the lips which became more vivid. There was no swelling, bruising, scar hyperplasia and other complications. A participant was evaluated using the VISIA skin detector. The patient's lip color and discoloration improved after treatment. Of the 15 participants treated. 3 participants experienced mild pain or discomfort during the injection process. There was no swelling, bruising, scar hyperplasia and other complications. Conclusion: The results of this study revealed promising evidence of PRP as an effective option on lip rejuvenation. However, large, multi-center, controlled, long term, pilot studies are required to confirm the preliminary results of our study. [ABSTRACT FROM AUTHOR]

Historical and cultural blocks are witnesses of history and inheritors of culture. As one of the main spaces for outdoor interaction in historical and cultural blocks, the improvement of its vitality is of great significance for the improvement of residential environment and the better inheritance of history and culture. Taking Daopashi Street in Anqing City as an example, an evaluation model of landscape spatial vitality of historical and cultural blocks was constructed from three aspects of viewing function, store status and service facilities, and analytic hierarchy process was used to determine the index weight and vaguely evaluate the landscape spatial vitality of historical and cultural blocks. The results show that through the comparison of weight, architectural style (0.317), the practicability of service facilities (0.168) and plant landscape (0.165) had a significant impact on the landscape spatial vitality of historical and cultural blocks, and the landscape spatial vitality of historical and cultural blocks in Daopashi Street in Anqing City was at a good level. [ABSTRACT FROM AUTHOR]

Railway workers are more likely to have an irregular work schedule, which had an effect on their circadian rhythm of sleep, and may lead to circadian rhythm sleep-wake disorders (CRSWDs). The association between CRSWDs and dyslipidemia in railway workers is poorly understood. The objective of this research is to study the association between CRSWDs and the risk of dyslipidemia. This cross-sectional study was conducted among railway workers in Southwest China. CRSWDs were assessed by the morningness-eveningness questionnaire self-assessment version (MEQ-SA). The blood samples were collected in the morning and the lipids of participants were measured. Associations of CRSWDs with dyslipidemia and its components were analyzed. A total of 8079 participants were enrolled in this study, and the results revealed that shift work sleep disorder (SWD) and advanced sleep-wake phase disorder (ASWPD) were associated with a higher risk of dyslipidemia (OR 1.17, 95%CI 1.06–1.29, P < 0.01; OR 1.68, 95%CI 1.09–2.64, P < 0.05) after adjusting for sociodemographic characteristics and lifestyles, in comparison with the control group. As for its components, the SWD group was associated with a higher risk of elevated total cholesterol, triglycerides, and low-density lipoprotein than the control group, while the ASWPD group was associated with a higher risk of elevated total cholesterol, and low-density lipoprotein (P < 0.05). In summary, SWD and ASWPD participants were associated with a higher risk of dyslipidemia in railway workers in Southwest China. Abbreviation: TG: triglyceride; TC: Total cholesterol; LDL-C: low-density lipoprotein cholesterol; HDL-C: high-density lipoprotein cholesterol; FPG: fasting plasma glucose. MEQ-SA: morningness-eveningness questionnaire self-assessment version; IPW: inverse-probability weighting; HDS: healthy diet scores; FFQ: food frequency; PA: physical activity; IQAP-SF: international physical activity questionnaire short form; MET-min/wk: metabolic equivalent task minutes per week; BMI: body mass index; SBP: systolic blood pressure; DBP: diastolic blood pressure; HBP: hypertension; DM: diabetes; CVD: cerebrovascular disease; OR: odds ratios; CI: confidence intervals. [ABSTRACT FROM AUTHOR]

Purpose: Adenomyosis (AM) is a common benign uterine disorder that has deleterious effects on women's health. However, the pathogenesis of AM is not clearly understood. We aimed to investigate the pathophysiological changes and molecular mechanism in AM. Methods: Single-cell RNA sequencing (scRNA-seq) was employed to construct a transcriptomic atlas of various cell subsets from the ectopic endometrium (EC) and eutopic endometrium (EM) of one AM patient and evaluate differential expression. The Cell Ranger software pipeline (version 4.0.0) was applied to conduct sample demultiplexing, barcode processing and mapping reads to the reference genome (human GRCh38). Different cell types were classified with markers with the "FindAllMarkers" function, and differential gene expression analysis was performed with Seurat software in R. The findings were confirmed by Reverse Transcription Real-Time PCR using samples from three AM patients. Results: We identified nine cell types: endothelial cells, epithelial cells, myoepithelial cells, smooth muscle cells, fibroblasts, lymphocytes, mast cells, macrophages and unknown cells. A number of differentially expressed genes, including CLO4A1, MMP1, TPM2 and CXCL8, were identified from all cell types. Functional enrichment showed that aberrant gene expression in fibroblasts and immune cells was related to fibrosis-associated terms, such as extracellular matrix dysregulation, focal adhesion and the PI3K-Akt signaling pathway. We also identified fibroblast subtypes and determined a potential developmental trajectory related to AM. In addition, we identified increased cell–cell communication patterns in EC, highlighting the imbalanced microenvironment in AM progression. Conclusion: Our results support the theory of endometrial–myometrial interface disruption for AM, and repeated tissue injury and repair could lead to increased fibrosis in the endometrium. Therefore, the present study reveals the association between fibrosis, the microenvironment, and AM pathogenesis. This study provides insight into the molecular mechanisms regulating AM progression. [ABSTRACT FROM AUTHOR]

Edge-to-cloud continuum connects and extends the calculation from edge side via network to cloud platforms, where diverse workflows go back and forth, getting executed on scheduled calculation resources. To better utilize the calculation resources from all sides, workflow offloading problems have been investigating lately. Most works focus on optimizing constraints like: latency requirements, resource utilization rate limits, and energy consumption bounds. However, the dynamics among the offloading environment have hardly been researched, which easily results in uncertain Quality of Service(QoS) on the user side. Any part of the workload change, resource availability change or network latency could incur dynamics in an offloading environment. In this work, we propose a robust PAC (probably approximately correct) offloading algorithm to address this dynamic issue together with optimization. We train an LSTM-based sequence-to-sequence neural network to learn how to offload workflows in edge-to-cloud continuum. Comprehensive implementations and corresponding comparison against state-of-the-art methods demonstrate the robustness of our proposed algorithm. More specifically, our algorithm achieves better offloading performance regarding dynamic heterogeneous offloading environment and faster adaptation to newly changed environments than fine-tuned state-of-the-art RL-based offloading methods. [ABSTRACT FROM AUTHOR]

This study examined whether the teacher-student relationship (TSR) served as a protective factor for students from families of lower socioeconomic status (SES). It was based on data from a standard mathematics assessment and survey using student and teacher questionnaires that were developed by the Collaborative Innovation Center of Assessment toward Basic Education Quality (CICA-BEQ) in China in 2016, which included 8707 fourth-grade Chinese students nested within 164 classes. We used multilevel structural equation models (MSEM) to investigate the mediating role of self-efficacy in mathematics in the relationship between SES and mathematics achievement and the moderating role of TSR in the direct and indirect relationship between SES and mathematics achievement at both the student-level and the class-level. The results suggested that the effect of SES on mathematics achievement was mediated by academic self-efficacy in mathematics both at the student-level and the class-level. The results also demonstrated a significant interaction between TSR and SES for self-efficacy both at the student-level and the class-level. Additionally, statistics indicated that TSR moderated the indirect relationship between SES and achievement via academic self-efficacy in mathematics. [ABSTRACT FROM AUTHOR]

Effectively detecting run-time performance anomalies is crucial for clouds to identify abnormal performance behavior and forestall future incidents. To be used for real-world applications, an effective anomaly detection framework should meet three main challenging requirements: high accuracy for identifying anomalies, good robustness when application patterns change, and prediction ability for upcoming anomalies. Unfortunately, existing research about performance anomaly detection usually focuses on improving detection accuracy, while little research tackles the three challenges simultaneously. We conduct experiments for existing detection methods on multiple application monitoring data, and results show that existing detection methods usually focus on different features in data, which will lead to their diverse performance on different data patterns. Therefore, existing anomaly detection methods have difficulty improving detection accuracy and robustness and predicting anomalies. To address the three requirements, we propose an Ensemble Learning-Based Detection (ELBD) framework which integrates existing well-selected detection methods. The framework includes three classic linear ensemble methods (maximum, average, and weighted average) and a novel deep ensemble method. Our experiments show that the ELBD framework realizes better detection accuracy and robustness, where the deep ensemble method can achieve the most accurate and robust detection for cloud applications. In addition, it can predict anomalies in the next four minutes with an F1 score higher than 0.8. The paper also proposes a new indicator A R P _ s c o r e to measure detection accuracy, robustness, and multi-step prediction ability. The A R P _ s c o r e of the deep ensemble method is 5.1821, which is much higher than other detection methods. [ABSTRACT FROM AUTHOR]

Mesenchymal stem cells (MSCs) have become a promising therapeutic method. More safety data are needed to support clinical studies in more diseases. The aim of this study was to investigate the short- and long-term safety of human bone marrow-derived MSCs (hBMMSCs) in mice. In the present study, we injected control (saline infusion only), low (1.0 × 106/kg), medium (1.0 × 107/kg), and high (1.0 × 108/kg) concentrations of hBMMSCs into BALB/c mice. The safety of the treatment was evaluated by observing changes in the general condition, hematology, biochemical indices, pathology of vital organs, lymphocyte subsets, and immune factor levels on days 14 and 150. In the short-term toxicity test, no significant abnormalities were observed in the hematological and biochemical parameters between the groups injected with hBMMSCs, and no significant damage was observed in the major organs, such as the liver and lung. In addition, no significant differences were observed in the toxicity-related parameters among the groups in the long-term toxicity test. Our study also demonstrates that mice infused with different doses of hBMMSCs do not show abnormal immune responses in either shortterm or long-term experiments. We confirmed that hBMMSCs are safe through a 150-day study, demonstrating that this is a safe and promising therapy and offering preliminary safety evidence to promote future clinical applications of hBMMSCs in different diseases. [ABSTRACT FROM AUTHOR]

Objectives: Gestational diabetes mellitus (GDM) is the most common metabolic disease that occurs during pregnancy and may result in fetal cardiac dysfunction. Our study aimed to assess the cardiac function in fetuses of mothers with GDM by a quantitative analysis software based on speckle‐tracking echocardiography. Methods: Forty‐nine fetuses exposed to GDM and 50 normal fetuses were enrolled, and fetal echocardiography were performed and analyzed in this prospective cross‐sectional study. We compared cardiac systolic function between the two groups using fetal cardiac quantitative analysis software. Results: In the GDM group, left ventricular (24 ± 4 versus 28 ± 4, P <.001) and right ventricular global longitudinal strain (23 ± 4 versus 26 ± 4, P =.002) and right ventricular free wall strain (26 ± 6 versus 29 ± 5, P =.006) were significantly lower compared with the control group, whereas there was no significant difference in global spherical index (1.2 ± 0.1 versus 1.2 ± 0.1, P =.425). Additionally, 24‐segment transverse fraction shortening of the right ventricle was more impaired than the left, and the segments with reduced fraction shortening were mainly located in the mid and apical sections of the right ventricle, and midsection of the left ventricle. Conclusion: Fetuses exposed to GDM may have cardiac dysfunction before the onset of cardiac morphologic abnormalities, and the right ventricle is more vulnerable than the left during fetal development. [ABSTRACT FROM AUTHOR]

Differential item functioning (DIF) occurs when the probability of endorsing an item differs across groups for individuals with the same latent trait level. The presence of DIF items may jeopardize the validity of an instrument; therefore, it is crucial to identify DIF items in routine operations of educational assessment. While DIF detection procedures based on item response theory (IRT) have been widely used, a majority of IRT-based DIF tests assume predefined anchor (i.e., DIF-free) items. Not only is this assumption strong, but violations to it may also lead to erroneous inferences, for example, an inflated Type I error rate. We propose a general framework to define the effect sizes of DIF without a priori knowledge of anchor items. In particular, we quantify DIF by item-specific residuals from a regression model fitted to the true item parameters in respective groups. Moreover, the null distribution of the proposed test statistic using robust estimator can be derived analytically or approximated numerically even when there is a mix of DIF and non-DIF items, which yields asymptotically justified statistical inference. The Type I error rate and the power performance of the proposed procedure are evaluated and compared with the conventional likelihood-ratio DIF tests in a Monte Carlo experiment. Our simulation study has shown promising results in controlling Type I error rate and power of detecting DIF items. Even when there is a mix of DIF and non-DIF items, the true and false alarm rate can be well controlled when a robust regression estimator is used. [ABSTRACT FROM AUTHOR]

Quality of data services is crucial for operational large-scale internet-of-things (IoT) research data infrastructure, in particular when serving large amounts of distributed users. Effectively detecting runtime anomalies and diagnosing their root cause helps to defend against adversarial attacks, thereby essentially boosting system security and robustness of the IoT infrastructure services. However, conventional anomaly detection methods are inadequate when facing the dynamic complexities of these systems. In contrast, supervised machine learning methods are unable to exploit large amounts of data due to the unavailability of labeled data. This paper leverages popular GAN-based generative models and end-to-end one-class classification to improve unsupervised anomaly detection. A novel heterogeneous BiGAN-based anomaly detection model Heterogeneous Temporal Anomaly-reconstruction GAN (HTA-GAN) is proposed to make better use of a one-class classifier and a novel anomaly scoring function. The Generator-Encoder-Discriminator BiGAN structure can lead to practical anomaly score computation and temporal feature capturing. We empirically compare the proposed approach with several state-of-the-art anomaly detection methods on real-world datasets, anomaly benchmarks and synthetic datasets. The results show that HTA-GAN outperforms its competitors and demonstrates better robustness. [ABSTRACT FROM AUTHOR]

Students' response sequences to a technology-based problem-solving task can be treated as a discrete time stochastic process with a conditional Markov property—after conditioning on the students' abilities of problem solving, the next state only depends on the current state. This article proposes a sequential response model (SRM) with a Bayesian approach for parameter estimation that incorporates comprehensive information from the response process to infer problem-solving ability more effectively. A Monte Carlo simulation study showed that parameters were well-recovered. An illustrated example is provided to showcase additional gains using our model for understanding the response process with a real-world interactive assessment item "Tickets" in the programme for international student assessment (PISA) 2012. [ABSTRACT FROM AUTHOR]

We propose a new method, the Monte Carlo confidence interval (MCCI) method, for studying measurement invariance. This method allows researchers to examine the invariance of all items simultaneously by comparing the observed between-group differences in parameters with those obtained under the null hypothesis of invariance. We compare the performance of our method to two other methods: the multigroup confirmatory factor analysis (MG-CFA) and the forward method using confidence intervals (forward CI). The results show that our method performed better than the MG-CFA method and comparably with the forward CI method. The code to implement our method and an empirical example are provided in the . [ABSTRACT FROM AUTHOR]

The action sequences of respondents in problem‐solving tasks reflect rich and detailed information about their performance, including differences in problem‐solving ability, even if item scores are equal. It is therefore not sufficient to infer individual problem‐solving skills based solely on item scores. This study is a preliminary attempt to incorporate process data analysis into the measurement of problem‐solving ability. The entire procedure consists of using information from process data as prior information for the estimation of problem‐solving proficiency in an item response model. The purpose of this study is twofold: (1) to investigate the impact of adding process information on the estimation of latent ability; (2) to examine the extent to which the ability estimates obtained from the combination model can reflect the information of the problem‐solving process. Seven problem‐solving items from the Programme for International Assessment of Adult Competencies were used. Results indicate that the inclusion of process priors enhances the correlation between proficiency estimates and process information related to the problem‐solving strategies adopted by respondents, as well as to their solution efficiency. The inclusion of process priors further reveals differences in the problem‐solving performance of respondents exhibiting the same score pattern and increases precision of latent ability estimation. [ABSTRACT FROM AUTHOR]

Based on the data of 3561 fifth-grade and 4062 eighth-grade students from the Beijing Assessment of Educational Quality in China, the present study used a propensity-value matching model to scientifically analyze only-child and non-only-child children in primary and secondary schools. Female differences in cognitive outcomes (linguistic performance) and non-cognitive outcomes (teacher-student relationships, peer relationships, and emotional management) were also evaluated. The results of the study were as follows. First, fifth-grade only-child students had a higher linguistic performance compared to that of their non-only-child counterparts, and the same result was found for eighth-grade students. Second, fifth- and eighth-grade only-child students had good teacher-student relationships that were not significantly different from those of their non-only-child counterparts. Third-, fifth-, and eighth-grade only-child students had significantly better peer relationships and emotional management compared to these parameters in their non-only-child counterparts. [ABSTRACT FROM AUTHOR]

This study explored the association between out-of-school physical activity (PA) and mathematical achievement in relation to mathematical anxiety (MA), as well as the influence of parents' support for their children's physical activity on this association, to examine whether parental support for physical activity affects mental health and academic performance. Data were collected from the responses of 22,509 (52.9% boys) children in Grade 4 from six provinces across eastern, central, and western China who completed the mathematics component and the physical education and health component of the national-level education quality assessment. A moderated moderated-mediation model was tested using PROCESS v3.4 and SPSS v19.0, with socioeconomic status, school location, and body mass index as controlled variables. Out-of-school physical activity had a positive effect on children's mathematical achievement, and math anxiety partially mediated this association. The indices of conditional moderated mediation through the parental support of both girls and boys were, respectively, significant, indicating that children can benefit from physical activity, and that increased perceived parental support for physical activity can alleviate their children's math anxiety and improve their mathematics, regardless of gender. However, gender differences were observed in the influence of parental support for physical activity on anxiety: Although girls' math anxiety levels were significantly higher, the anxiety levels of girls with high parental support were significantly lower than those of boys with low parental support. [ABSTRACT FROM AUTHOR]

Critical thinking is one of the important higher-order skills very much treasured in education, but hard to be measured using paper-pencil tests. In line with recent recommendation to measure high-order thinking skills with interactive tasks (vs. static one set of questions), in this study we developed an interactive and automated game-based assessment of critical thinking, using the Toulmin Model. In two real-life simulation stories, through interactive tasks in progressing scenes in the stories, students chose and rated evidence and conflicting reasons as supportive or non-supportive arguments in making the eventual decision. Critical thinking scores were awarded on choosing the appropriate evidence and reasons. The psychometric quality of the game was evaluated with 185 Chinese senior secondary students. Results showed that (i) reliabilities as measured by Cronbach's α of the whole scale and subdomains were reasonable; (ii) parallel form reliability was high; (iii) its correlation and convergent validity with the popular Halpern Critical Thinking Assessment were comparable to those in other studies; (iv) it was generally not related to academic performance; and (v) the game was interesting and engaging. We also noted that students hesitated to query others and they were weak in applying critical thinking to problem-solving, which were in congruent with previous research showing students rarely used critical thinking to solve complex, real-world problems. In sum, we demonstrated successfully the use of interactive simulation tasks in measuring critical thinking. With the advancement of technology, our study suggested the possibility of assessing hard-to-measure important complex higher-order competence with dynamic games. [ABSTRACT FROM AUTHOR]

Soil salinization is the leading environmental factor that restricts crop growth. This study studied the effects of Bacillus cereus (B. cereus) on growth, photosynthesis, and antioxidant metabolism in salt stressed-cucumber seedlings. The results showed that B. cereus could maintain high activity in the high salt environment (4% NaCl). B. cereus significantly increased plant height, stem diameter, fresh weight, and dry weight of cucumber seedlings under salt stress, and increased root vitality, net photosynthetic rate (Pn), stomatal conductance (Gs), intercellular CO2 concentration (Ci), and transpiration rate (Tr) of cucumber seedlings under salt stress. B. cereus significantly increased the maximum photochemical quantum yield of photosystem II (Fv/Fm), the actual photochemical quantum yield (ΦPSII), and the quantum yield of regulatory energy dissipation Y (NPQ) under salt stress, which were 9.31%, 20.44%, and 5.22% higher than those under salt stress, respectively. The quantum yield of non-regulatory energy dissipation Y (NO) was reduced by 19.81%. Superoxidase (SOD), peroxidase (POD), and catalase (CAT) activities in leaves and roots of cucumber seedlings were significantly increased by B. cereus under salt stress. Compared with salt stress, SOD activities in leaves were significantly increased by 1.70% and 6.32% on the first and third days after treatment. At 1 d, 3 d, and 5 d after treatment, SOD activity in roots increased by 3.06%, 11.24%, and 3.00%, POD activity in leaves increased by 113.38%, 38.81%, and 52.89%, respectively. The POD activity in roots increased by 56.79% and 10.92% on the third and fifth days after treatment, the CAT activity in leaves increased by 8.50% and 25.55%, and the CAT activity in roots increased by 30.59% and 84.45%. Under salt stress, the H2O2 and MDA contents of seedlings treated with B. cereus decreased significantly. Compared with salt stress, the proline content in leaves decreased by 12.69%, 3.90%, and 13.12% at 1 d, 3 d, and 5 d, respectively, while the proline content in roots decreased by 44.94% and 60.08% at 3 d and 5 d, respectively. These results indicated that B. cereus could alleviate salt-induced inhibition of growth and photosynthesis by regulating antioxidant metabolism of cucumber seedlings and thus enhancing salt tolerance of cucumber seedlings. [ABSTRACT FROM AUTHOR]

This article proposes a two-level moderated mediation (2moME) model with single level data, and develops measures to quantify the moderated mediation (moME) effect sizes for both the conventional moME model and the 2moME model. A Bayesian approach is developed to estimate and test moME effects and the corresponding effect sizes (ES). Monte Carlo results indicate that (1) the 2moME model yields more accurate estimates of the parameters than the conventional moME model; (2) the 95% credibility interval following the 2moME model covers the moME effects and the ESs more accurately than that following the conventional moME model; and (3) statistical tests for the existence of the moME effects with the 2moME model are more reliable in controlling type I errors than those with the conventional moME model, especially under heteroscedasticity conditions. In addition, the developed measures of ES are more interpretable, and directly answer the questions regarding the extent to which a moderator can account for the change of the mediation effect between the predictor and the outcome variable through the mediator variable. An empirical example illustrates the application of the 2moME model and the ES measures. [ABSTRACT FROM AUTHOR]

While dialogue regarding the materialism–self-esteem relation continues, the longitudinal empirical evidence is limited. More importantly, the boundary conditions of this relation have received scant attention. Given individual differences in the landscape of resources, we tracked participants for 2 years to examine the effect of materialism on their self-esteem in the long run as well as the moderating role of socioeconomic status (SES) in the focal relation. A total of 430 Chinese undergraduates responded to questionnaires that assessed our core variables in three waves. Cross-lagged models were analyzed using structural equation modeling and model comparisons. The results revealed that materialism decreased self-esteem longitudinally, and this detrimental effect was contingent on the availability of personal resources. Specifically, materialism exerts little influence on self-esteem among people with high SES. [ABSTRACT FROM AUTHOR]

This study investigated the effects of mulberry branch and leaves (MBL) silage on milk yield, ruminal fermentation, and bacteria composition in dairy cows. Thirty-six mid-lactation cows were selected and randomly allocated into three groups. The control group (C) was fed on a total mixed ratio (TMR) diet, while the experimental groups were fed on TMR supplemented with 5% (L) and 10% (H) MBL silage. The experiment lasted for eight weeks, including two weeks of adaption. The results showed that Group H had an increased milk yield, milk fat content (p < 0.05), and 4% feed conversion ratio (p = 0.10). In addition, rumen propionic acid was significantly increased (p < 0.05), while acetate/propionate was significantly decreased (p < 0.05) in the high MBL silage group. The microbiome analysis showed that Bacteroides, Firmicutes, and Proteobacteria were the predominant phyla. Compared with Group C, the abundance of Bacteroides was significantly decreased (p < 0.01), while the Firmicutes and Proteobacteria were increased but not significantly different in Groups L and H. Prevotella was significantly decreased (p < 0.05) in the MBL silage groups, and Succinivibrionaceae_UCG-001 was increased in Group H. The correlation analysis showed that eight bacterial species belonging to Firmicutes were positively correlated with propionic acid. However, four bacterial species belonging to the Bacteroides group were negatively correlated with propionic acid. In conclusion, feed supplementation with about 5–10% of MBL silage could modulate the rumen microbiota and fermentation, and increase the abundance of fiber-digesting, propionic acid synthesis and milk fat-related microorganisms, thus improving milk yield in dairy cows. [ABSTRACT FROM AUTHOR]