-
Ultrasonics Sonochemistry Oct 2023In biomedical research, ultrasonic cavitation, especially inertial cavitation (IC) has attracted extensive attentions due to its ability to induce mechanical, chemical...
In biomedical research, ultrasonic cavitation, especially inertial cavitation (IC) has attracted extensive attentions due to its ability to induce mechanical, chemical and thermal effects. Like ultrasound contrast agent (UCA) microbubbles or droplets, acoustic cavitation can be effectively triggered beyond a certain pressure threshold through the interaction between ultrasound and nucleation particles, leading to an enhanced thrombolytic effect. As a newly developed nanocarbon material, nitrogen-doped annealed nanodiamond (N-AND) has shown promising catalytic performance. To further explore its effects on ultrasonic cavitation, N-AND was synthesized at the temperature of 1000 °C. After systematic material characterization, the potential of N-AND to induce enhanced IC activity was assessed for the first time by using passive cavitation detection (PCD). Based on experiments performed at varied material suspension concentration and cycle number, N-AND demonstrated a strong capability to generate significant cavitation characteristics, indicating the formation of stable bubbles from the surface of the materials. Furthermore, N-AND was applied in the in vitro thrombolysis experiments to verify its contribution to ultrasound thrombolysis. The influence of surface hydrophobicity on the cavitation potentials of ND and N-AND was innovatively discussed in combination with the theory of mote-induced nucleation. It is found that the cavitation stability of N-AND was better than that of the commercial UCA microbubbles. This study would provide better understanding of the potential of novel carbonous nanomaterials as cavitation nuclei and is expected to provide guidance for their future biomedical and industrial applications.
PubMed: 37647744
DOI: 10.1016/j.ultsonch.2023.106563 -
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 -
Journal of Applied Toxicology : JAT Oct 2023The risk evaluation for pharmacological therapy during pregnancy is critical for maternal and fetal health. The initial risk assessment stage, the risk measurement,...
The risk evaluation for pharmacological therapy during pregnancy is critical for maternal and fetal health. The initial risk assessment stage, the risk measurement, begins with pregnancy-labeling categories (A, B, C, D, and X) for pharmaceuticals defined by the US Food and Drug Administration (FDA). Recently, in silico methods have been preferred in toxicology studies to eliminate ethical issues before conducting clinical toxicology studies and animal experiments. Quantitative structure-activity relationship (QSAR) modeling is one of the in silico methodologies. The research focuses on creating a QSAR model that predicts the five FDA pregnancy categories of medications. Our dataset included 868 pharmaceuticals, containing nearly every pharmacological group collected from the FDA. 2D-molecular descriptors were calculated using PaDEL software. Twenty-four QSAR models were developed, and the best four models were discussed. The results of the models were compared according to sensitivity, accuracy, F-score, specificity, receiver operating characteristic (ROC) values, and Matthews correlation coefficient. Considering the statistical results, random forest is the best model for determining the pregnancy risk category of drugs. The accuracy of the model was 76.49% for internal and 93.58% for external validation. According to the kappa statistics, there is an average agreement of 0.583 for internal validation and a perfect agreement of 0.893 for external validation. Because the error rates of the model are very close to 0, the model is highly accurate. Consequently, our novel QSAR model gives guidance on the safe use of pharmaceuticals during pregnancy without requiring animal tests or clinical trials on pregnant women.
Topics: Pregnancy; Animals; Female; Humans; Quantitative Structure-Activity Relationship; Software; Pharmaceutical Preparations; Risk Assessment
PubMed: 37082782
DOI: 10.1002/jat.4475 -
Heliyon Mar 2024Students in higher vocational education are always encountering various challenges. The way they attempt to conquer these challenges influences their success in...
Students in higher vocational education are always encountering various challenges. The way they attempt to conquer these challenges influences their success in achieving their academic goals. With the development of the times, the needs of students in China's vocational colleges to cope with challenges are also changing. In order to understand the changing needs of these students to cope with the challenges, based on Trautwein and Bosse's academic counseling demand model and Knowles's demand theory, this study adopted semi-structured interviews, key event collection methods, and purposive sampling to select 12 students of different grades majoring in art and design in a higher vocational college in Guangzhou, China. With reference to related studies on the key academic needs of students, interview outlines were designed, interviews were conducted, and coding and analysis were performed. Students' experiences were categorized according to learning-related, individual, organization, and social constructs. The study results showed that the academic counseling needs of China's higher vocational art and design students mainly focused on the learning-related construct, such as understanding the courses and course systems they were majoring in, setting and realizing academic goals, coping with setbacks, pressure and other students' comprehensive evaluation. This was followed by dealing with personal and financial issues, building social circles and peer relationships, and so on. Therefore, for students to overcome challenges and achieve academic goals, it is helpful to strengthen the collaboration between professional teachers and counselors, the influence of peers, the focus on academic consulting work related to learning, and to explore and carry out guidance on students' individual needs in higher vocational colleges.
PubMed: 38509979
DOI: 10.1016/j.heliyon.2024.e27708 -
Journal of Pediatric Nursing Mar 2024Eating in the absence of hunger is a risk factor for excessive energy intake and predisposes children to overweight/obesity. The purpose of this study was to test the... (Review)
Review
BACKGROUND AND PURPOSE
Eating in the absence of hunger is a risk factor for excessive energy intake and predisposes children to overweight/obesity. The purpose of this study was to test the validity and reliability of the "Eating in the Absence of Hunger Questionnaire for Children and Adolescents (EAH-C)" in Türkiye.
METHODS
This study was conducted in a total of six schools, with children 8-18 years old between September and December 2022. Factor analysis, item-total score analysis and Cronbach's alpha coefficient were used for the validity and reliability.
RESULTS
The calculated KMO statistic was >0.60, and the Bartlett's test statistic was <0.05. The three subscales accounted for 65.22% of the total variance. Factor loads ranged from 0.41 to 0.84. The value obtained by dividing χ by the number of degrees of freedom was <5; the RMSEA was <0.10; the RMR was <0.08; and the TLI, GFI, AGFI, and CFI were >0.90. Cronbach's alpha coefficient was 0.91 for the total scale.
CONCLUSIONS
Our study has confirmed that the Turkish-language version of the EAH-C is a valid and reliable tool.
PRACTICE IMPLICATIONS
In the effort of prevention of childhood obesity, identifying eating behaviors in the absence of hunger in children and adolescents will benefit policymakers to develop intervention and prevention programs, in addition to providing guidance to pediatric nurses, all healthcare professionals, researchers, children, and parents.
PubMed: 38518687
DOI: 10.1016/j.pedn.2024.03.018 -
International Journal of Language &... 2024The therapeutic process is fraught with various feelings. This research focused on a specific type of negative feeling, namely self-doubt (SD).
BACKGROUND
The therapeutic process is fraught with various feelings. This research focused on a specific type of negative feeling, namely self-doubt (SD).
AIM
To explore and characterize the nature of SD among speech and language therapists (SLTs) (the frequency of SD, situations that trigger SD, emotions and thoughts related to SD, and coping strategies) in various stages of occupational experience.
METHODS & PROCEDURES
A total of 267 SLTs answered an online survey. Respondents represented SLTs in all stages of vocational experience, with varying academic degrees, from a variety of employment settings. The survey addressed situations that trigger SD, thoughts, and emotions associated with SD and the background information of the respondents. Frequency distributions of the responses of the participants were determined, and independent-samples Kruskal-Wallis tests were conducted to examine if there were differences between groups that differed in their occupational experience on the frequency of SD, attitudes towards SD and emotions related to SD.
OUTCOMES & RESULTS
Differences were found between SLTs in various stages of professional development in several aspects of SD. Novice SLTs reported significantly higher levels of SD compared with experienced SLTs. In the face of SD, novice SLTs consider career abandonment significantly more than do experienced SLTs. They perceive themselves as a failure when experiencing SD to a significantly greater extent than do more experienced SLTs. In addition, SD is associated with various negative emotions.
CONCLUSIONS & IMPLICATIONS
Self-doubt is a natural professional feeling. It may be harmful especially in the early stages of professional development. Our findings call for support and guidance in the face of SD.
WHAT THIS PAPER ADDS
What is already known on the subject Healthcare professionals report feeling SD. This feeling may have deleterious effects on well-being and career satisfaction and is especially harmful in young therapists. What this paper adds to existing knowledge This study characterizes the nature of SD among SLTs in various stages of occupational experience. Our findings indicate that SD is reported among SLTs at all career stages, especially in novice SLTs. Self-doubt is associated with a range of negative thoughts and emotions, and it may be triggered by various situations. Nonetheless, it is a topic that our respondents rarely learn about. What are the potential or actual clinical implications of this work? Normalising and validating SD is important to SLTs' resilience and may facilitate coping. This may be achieved by learning about the subject of SD in graduate programmes. In addition, mentors should create a safe learning culture to allow sharing SD and challenging situations, especially in the first years of occupational experience.
Topics: Humans; Speech Therapy; Language Therapy; Speech; Attitude of Health Personnel; Surveys and Questionnaires
PubMed: 37482961
DOI: 10.1111/1460-6984.12935 -
Heliyon Nov 2023This research is of great importance because it applies artificial intelligence methods, more specifically the Random Forest algorithm and the Anfis method to research...
This research is of great importance because it applies artificial intelligence methods, more specifically the Random Forest algorithm and the Anfis method to research the key factors that influence the success of students in vocational schools. Identifying these influencing factors is not only useful for improving curriculum and practice but also provides valuable guidance to help students master the material more effectively. The main goal of this research is to penetrate deeply into the core of the factors that influence the success of students in vocational schools, using two different methods. Each of the factors represented as input is mutually independent and does not affect each other, but each of them affects the output variable. The parameters considered as input variables are prior programming knowledge and pretest requirements. Then, by finding one factor that has the greatest influence, the factor of pre-exam obligation was investigated in more detail, using the Anfis method, which was broken down into several input parameters. These results emphasize the importance of the combination of the Random Forest algorithm and the ANFIS method in the statistical evaluation and assessment of student achievement in vocational schools. This study provides useful guidelines for improving education and practice in vocational schools to optimize educational outcomes.
PubMed: 38027614
DOI: 10.1016/j.heliyon.2023.e21768 -
PloS One 2024Lifting-correction is a technique to restore buildings experiencing uneven settlement, while ensuring the safety and integrity of the main structural system. This study...
Lifting-correction is a technique to restore buildings experiencing uneven settlement, while ensuring the safety and integrity of the main structural system. This study was based on a real light-steel building structure and provided a detailed description of scenarios involving uneven settlement and the process of lifting and correction. Additionally, a sophisticated finite element (FE) model was established using the generic FE software ABAQUS, with refined material constitutive models to ensure the accuracy of simulation results. Firstly, the impact of uneven settlement on the structure was examined, including modal and stress field analyses. Different methods of breaking column (BC) and lifting column (LC) were compared and scrutinized to identify optimal approaches and minimize damage and disturbance to the building. Four methods have been proposed and compared, including simultaneously breaking columns, breaking columns with chessboard style, simultaneously lifting columns and lifting columns in multiple stages. The four methods were comprehensively evaluated from the perspectives of stress fields, displacement responses, damage and energy dissipation. The results indicated that after uneven settlement, the eigenvalues and frequencies of the structure decrease, the structure tended to be unstable. Simultaneously, as stress increases, some joints' materials enter the yielding stage, affecting the overall structural stability and safety. When damage occurs in some joints, the structural safety was compromised. The comparison between the two BC methods, including the chessboard style and simultaneously BC methods, it was revealed that the former causes less disturbance to structural initial stress field. The comparison between the two LC methods, including, simultaneously and LC in multiple stages, it was revealed that the latter performs slightly better in terms of stress fields, displacement fields, damage, energy dissipation and internal forces. Therefore, the methods of BC in chessboard style and LC in multiple stages were recommended to use in engineering practice to ensure less structural disturbance. The findings obtained from this study can provide guidance for structural engineers to solve the uneven settlement of buildings.
Topics: Steel; Construction Materials; Finite Element Analysis; Computer Simulation; Stress, Mechanical
PubMed: 38787904
DOI: 10.1371/journal.pone.0303249 -
Journal of Contaminant Hydrology Apr 2024Microplastic (MP) pollution has become a research issue on the world agenda. Monitoring studies are essential for MP content in aquatic environments since it is the...
Microplastic (MP) pollution has become a research issue on the world agenda. Monitoring studies are essential for MP content in aquatic environments since it is the final accumulation point. The present study focused on MP characterizations in sediment samples taken from 20 different stations on the Çoruh River, the major river in the North East of Türkiye. Accordingly, the potential anthropogenic pollution from settlements near the four stations (2, 15, 18, and 20) exceeding 400 MP kg was estimated. On the other hand, stations (1, 3, 9, 11, and 13) far from settlements with quite low MP abundance were also observed. The polymer structures of the detected MPs are generally PE and PET, and their shapes are mostly fiber. This situation raises suspicion that MPs originate from primary use waste such as water bottles and packaging materials. In general, the fiber MPs are smaller than the fragments because of the river's high water flow rate and the low strength of the fiber MPs. In light of these results, the current monitoring data in the region will create awareness and guidance regarding MP pollution in settlements.
Topics: Rivers; Environmental Monitoring; Geologic Sediments; Water Pollutants, Chemical; Microplastics; Turkey
PubMed: 38493707
DOI: 10.1016/j.jconhyd.2024.104334 -
PloS One 2023The employment of college students is an important issue that affects national development and social stability. In recent years, the increase in the number of...
The employment of college students is an important issue that affects national development and social stability. In recent years, the increase in the number of graduates, the pressure of employment, and the epidemic have made the phenomenon of 'slow employment' increasingly prominent, becoming an urgent problem to be solved. Data mining and machine learning methods are used to analyze and predict the employment prospects for graduates and provide effective employment guidance and services for universities, governments, and graduates. It is a feasible solution to alleviate the problem of 'slow employment' of graduates. Therefore, this study proposed a feature selection prediction model (bGEBA-SVM) based on an improved bat algorithm and support vector machine by extracting 1694 college graduates from 2022 classes in Zhejiang Province. To improve the search efficiency and accuracy of the optimal feature subset, this paper proposed an enhanced bat algorithm based on the Gaussian distribution-based and elimination strategies for optimizing the feature set. The training data were input to the support vector machine for prediction. The proposed method is experimented by comparing it with peers, well-known machine learning models on the IEEE CEC2017 benchmark functions, public datasets, and graduate employment prediction dataset. The experimental results show that bGEBA-SVM can obtain higher prediction Accuracy, which can reach 93.86%. In addition, further education, student leader experience, family situation, career planning, and employment structure are more relevant characteristics that affect employment outcomes. In summary, bGEBA-SVM can be regarded as an employment prediction model with strong performance and high interpretability.
Topics: Humans; Support Vector Machine; Algorithms; Machine Learning; Employment
PubMed: 37943766
DOI: 10.1371/journal.pone.0294114