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Heliyon Jan 2024In K-12 STEM education, engineering design is emphasized, as demonstrated by the bridge-design project. Due to the iterative nature of engineering design, engineering...
In K-12 STEM education, engineering design is emphasized, as demonstrated by the bridge-design project. Due to the iterative nature of engineering design, engineering practice is frequently complicated and requires pedagogical guidance. As an emerging pedagogy in STEM education, REP (Reverse Engineering Pedagogy) is showing, but not enough, some benefits in several cases. This paper aims to explore the effects of REP in a bridge-design course. A comparison experiment, REP versus PBL (Project-Based Learning), was conducted by randomly forming two groups of fourth-grade students from a primary school in China. Results indicated that REP was more advantageous than PBL in terms of decreasing students' cognitive load, boosting their scientific knowledge level and engineering design skills. However, REP and PBL have the same effect on the students' learning attitude and engagement. The key findings, possible reasons, and suggestions for practice are also discussed.
PubMed: 38293465
DOI: 10.1016/j.heliyon.2024.e24278 -
Open Veterinary Journal Dec 2023Traumatic reticulitis (TR) and abomasal obstruction are common digestive diseases in beef cattle. In clinical practice, these two conditions are often detected alone and...
BACKGROUND
Traumatic reticulitis (TR) and abomasal obstruction are common digestive diseases in beef cattle. In clinical practice, these two conditions are often detected alone and rarely occur at the same time. Surgical therapy is an effective approach to treat both of these diseases. However, there are no reports on the treatment of abomasal obstruction in cattle induced by TR.
CASE DESCRIPTION
We here report a rare case of the diagnosis and treatment of TR associated with abomasal obstruction in a beef cow during late pregnancy. The affected cattle had an iron wire that was piercing the wall of the reticulum, but did not penetrate the wall; the abomasum was blocked and appeared solid; and the fetus survived well (268 days gestation). To save the lives of the cow and fetus on the same day, a cesarean section was first performed, followed by rumenotomy, the foreign body (wire) was removed, and abomasotomy was finally performed. The fetus removed by cesarean section grew well, and the beef cow recovered and successfully became pregnant again.
CONCLUSION
This case thus offers guidance for the timely diagnosis, effective treatment, and postoperative management of these digestive diseases in cattle to prevent progression and further complications.
Topics: Cattle; Animals; Pregnancy; Female; Cattle Diseases; Abomasum; Cesarean Section; Foreign Bodies
PubMed: 38292727
DOI: 10.5455/OVJ.2023.v13.i12.27 -
Frontiers in Genetics 2023Xinjiang Brown cattle are a famous dual-purpose (dairy-beef) cultivated breed in China that occupy a pivotal position within the cattle breeding industry in Xinjiang,...
Xinjiang Brown cattle are a famous dual-purpose (dairy-beef) cultivated breed in China that occupy a pivotal position within the cattle breeding industry in Xinjiang, China. However, little information is available on the genetic background of this breed. To fill this research gap, we conducted a whole-genome screen using specific-locus amplified fragment sequencing to examine the genetic structure and diversity of 130 Xinjiang Brown cattle-grazing type (XBG, traditional type) cattle. A subsequent joint analysis incorporating two ancestral breeds, specifically 19 Brown Swiss (BS) foreign and nine Kazakh (KZ) Chinese cattle, as well as 20 Xinjiang Brown cattle-housing type (XBH) cattle, was used to explore the genetic background of the Xinjiang Brown cattle. The results showed that, after nearly a century of crossbreeding, XBG cattle formed a single population with a stable genetic performance. The genetic structure, genetic diversity, and selection signature analysis of the two ancestral types showed highly different results compared to that of XBH cattle. Local ancestry inference showed that the average proportions of XGB cattle within the BS and KZ cattle lineages were 37.22% and 62.78%, respectively, whereas the average proportions of XBH cattle within the BS and KZ cattle lineages were 95.14% and 4.86%, respectively. Thus, XGB cattle are more representative of all Xinjiang Brown cattle, in line with their breeding history, which involves crossbreeding. Two complementary approaches, fixation index and mean nucleotide diversity, were used to detect selection signals in the four aforementioned cattle breeds. Finally, the analysis of 26 candidate genes in Xinjiang Brown cattle revealed significant enrichment in 19 Gene Ontology terms, and seven candidate genes were enriched in three pathways related to disease resistance (, , and ) and the endocrine system (, , , and ). Finally, development of the core SNPs in XBG cattle yielded 8,379 loci. The results of this study detail the evolutionary process of crossbreeding in Xinjiang Brown cattle and provide guidance for selecting and breeding new strains of this species.
PubMed: 38283146
DOI: 10.3389/fgene.2023.1348329 -
Behavioral Sciences (Basel, Switzerland) Dec 2023The competitive psychological environment that arises within an organization is widely recognized as a crucial factor impacting employee performance and, indirectly,...
Exploring the Interplay of Competition and Justice: A Moderated Mediation Model of Competitive Psychological Climate, Workplace Envy, Interpersonal Citizenship Behavior, and Organizational Justice.
The competitive psychological environment that arises within an organization is widely recognized as a crucial factor impacting employee performance and, indirectly, overall business productivity. Nonetheless, mishandling this environment can result in unforeseen challenges. Thus, a moderated mediation model was employed in this study to ascertain the adverse effects of competitive psychological climate and how to mitigate said effects. Data were collected via a survey of 523 employees of four- and five-star accommodation establishments in Alanya and Manavgat using convenience sampling. This study revealed that a competitive work environment leads to increased workplace envy, which adversely affects interpersonal citizenship behavior. Additionally, it was discovered that workplace envy mediates the effects of competitive climate on interpersonal citizenship behavior. The negative impact of competitive psychological climate on workplace envy and interpersonal citizenship behavior is mitigated by organizational justice. This study's results offer significant contributions to both theoretical and practical understandings of the potential effects of competitive psychological climate and how to handle them.
PubMed: 38275347
DOI: 10.3390/bs14010005 -
BMC Medical Education Jan 2024Rain Classroom was one of the most popular online learning platforms in Chinese higher education during the pandemic. However, there is little research on user intention...
BACKGROUND
Rain Classroom was one of the most popular online learning platforms in Chinese higher education during the pandemic. However, there is little research on user intention under the guidance of technology acceptance and unified theory (UTAUT).
OBJECTIVE
This research aims to determine factors influencing students' behavioural intention to use Rain Classroom.
METHODS
In this cross-sectional and correlational investigation, 1138 medical students from five medical universities in Guangxi Province, China, made up the sample. This study added self-efficacy (SE), motivation (MO), stress (ST), and anxiety (AN) to the UTAUT framework. This study modified the framework by excluding actual usage variables and focusing only on intention determinants. SPSS-26 and AMOS-26 were used to analyze the data. The structural equation modelling technique was chosen to confirm the hypotheses.
RESULTS
Except for facilitating conditions (FC), all proposed factors, including performance expectancy (PE), effort expectancy (EE), social influence (SI), self-efficacy (SE), motivation (MO), anxiety (AN), and stress (ST), had a significant effect on students' behavioural intentions to use Rain Classroom.
CONCLUSIONS
The research revealed that the proposed model, which was based on the UTAUT, is excellent at identifying the variables that influence students' behavioural intentions in the Rain Classroom. Higher education institutions can plan and implement productive classrooms.
Topics: Humans; China; Cross-Sectional Studies; Intention; Students, Medical
PubMed: 38267919
DOI: 10.1186/s12909-024-05037-6 -
Journal of Public Health (Oxford,... Jan 2024
PubMed: 38236719
DOI: 10.1093/pubmed/fdae001 -
Health Promotion Perspectives 2023Adolescents' sleep deteriorated over the last decades, urging the need to develop effective interventions. Using participatory action research (PAR) is a promising and...
BACKGROUND
Adolescents' sleep deteriorated over the last decades, urging the need to develop effective interventions. Using participatory action research (PAR) is a promising and unique approach to target adolescents' sleep. This study aims to describe the process and results of combining PAR and intervention mapping (IM) to guide future researchers on developing and planning of the implementation and evaluation of interventions promoting healthy sleep in adolescents.
METHODS
In each of three intervention schools (two with general and technical education and one with technical and vocational education), an action team including adolescents (age 13- 15 years, n=max. 12) and a researcher was composed to develop and plan the intervention. During weekly sessions (n=ranging from 23 to 34 per school), the action team went through the six steps of IM. A short PAR was performed with parents (n=7) to develop parental intervention components.
RESULTS
Combining PAR and IM resulted in interventions focusing on the importance of healthy sleep, regular sleep patterns and associated behaviors: screen behaviors, physical activity, dietary behavior and relaxation. Several differences in the participatory process (i.e. more guidance needed during brainstorms in the vocational/technical school) and developed intervention (i.e. less intrusive intervention components in the vocational/technical school) were observed between schools.
CONCLUSION
Combining PAR with IM resulted in more extensive interventions than other existing school-based sleep interventions. Future studies should investigate whether a participatory developed sleep intervention could be transferred to another setting using a shorter participatory process.
PubMed: 38235009
DOI: 10.34172/hpp.2023.37 -
Cell Biology International Mar 2024
Topics: RNA, Mitochondrial; Methyltransferases; Mitochondria; RNA
PubMed: 38225665
DOI: 10.1002/cbin.12124 -
PloS One 2024The rapid growth of on-demand ride service platforms has made it increasingly important for these platforms to efficiently match services by understanding driver...
The rapid growth of on-demand ride service platforms has made it increasingly important for these platforms to efficiently match services by understanding driver characteristics and consumer preferences. This paper aims to investigate the pricing strategy by considering the impact of consumer preference heterogeneity and the different service types offered by drivers. The findings of this study reveal the need for the platform to strike a balance between service cost and the benefits of high-quality drivers, which can be referred to as the "cost-performance ratio". If the "cost-performance ratio" that attracts high-quality drivers is high, the platform will attract high-quality drivers or drivers of all types to participate while offering differentiated services. Otherwise, the platform will only provide services through low-quality drivers. Furthermore, the platform will also consider when to offer differentiated services based on network externalities and service quality. When the network externalities of the two types of services are similar, the platform will differentiate them based on service quality differences. Overall, considering consumer preference heterogeneity, drivers of service types, and network externalities, this paper provides guidance for platforms to make optimal decisions that enhance their service offerings and improve overall customer satisfaction.
PubMed: 38215078
DOI: 10.1371/journal.pone.0296732 -
PloS One 2024In order to enhance market share and competitiveness, large banks are increasingly focusing on promoting marketing strategies. However, the traditional bank marketing...
In order to enhance market share and competitiveness, large banks are increasingly focusing on promoting marketing strategies. However, the traditional bank marketing strategy often leads to the homogenization of customer demand, making it challenging to distinguish among various products. To address this issue, this paper presents a customer demand learning model based on financial datasets and optimizes the distribution model of bank big data channels through induction to rectify the imbalance in bank customer transaction data. By comparing the prediction models of random forest model and support vector machine (SVM), this paper analyzes the ability of the prediction model based on ensemble learning to significantly enhance the market segmentation of e-commerce banks. The empirical results reveal that the accuracy of random forest model reaches 92%, while the accuracy of SVM model reaches 87%. This indicates that the ensemble learning model has higher accuracy and forecasting ability than the single model. It enables the bank marketing system to implement targeted marketing, effectively maintain the relationship between customers and banks, and significantly improve the success probability of product marketing. Meanwhile, the marketing model based on ensemble learning has achieved a sales growth rate of 20% and improved customer satisfaction by 30%. This demonstrates that the implementation of the ensemble learning model has also significantly elevated the overall marketing level of bank e-commerce services. Therefore, this paper offers valuable academic guidance for bank marketing decision-making and holds important academic and practical significance in predicting bank customer demand and optimizing product marketing strategy.
Topics: Marketing; Commerce; Forecasting; Learning; Machine Learning
PubMed: 38206947
DOI: 10.1371/journal.pone.0294759