Results Of Analysis Research Articles

The structural and optical properties of PVA/CMC copolymer cured by UV irradiation for different times

Poly(vinyl alcohol) (PVA)/carboxymethylcellulose (CMC) blend films with equal amounts (0.25 g) of both polymers were prepared through a simple and low-cost comparative casting method. Then, the PVA/CMC blend films were exposed to ultraviolet (UV) radiation for varied time intervals (1, 12, 26, 32, 40 and 48 h). The UV-irradiation effect on the physical properties of as-prepared films, including the structure, morphology, composite and optical properties (transmittance, absorbance and band gap (E g)), was examined. Field-emission scanning electron microscopy images showed that UV irradiation had a strong effect on the shape of PVA/CMC blend films. The X-ray diffraction patterns showed various crystalline qualities in the microstructure of as-synthesized samples. The Fourier transform infrared spectra showed that the UV-irradiation time and CMC film had a positive impact on the blend polymer structure since covalent connections were formed between CMC and PVA. Furthermore, the analysis results of optical inspections showed that the absorbance of the PVA/CMC films improved with an increment in irradiation time from 1 to 40 h. Important tuning of the E g values of blend films was realized. It showed a slight increase from 4.64 to 4.84 eV with increasing irradiation time from 1 to 40 h. The E g value (3.21 eV), however, displayed an inverted behavior due to an increased irradiation time of 48 h. This reduction could be ascribed to the creation of defects inside the blend band gap. Finally, the physical property modification of PVA/CMC blend film using UV irradiation made it an amazing contender in the optoelectronic field.

Development of a High-School Students' Version of the Daily Conversation Scale with Classroom Teachers

Objective This study was intended to develop a "High-School Students' Version of the Daily Conversation Scale with Classroom Teachers" to measure the frequency of daily conversations between high-school students and their classroom teachers.Methods The study consisted of Surveys I and II. Survey I was intended to validate the structural validity and reliability of the "High-School Students' Daily Conversation Scale with Classroom Teachers (Prototype Version)." It measured the frequency of high-school students' daily conversations with classroom teachers using the prototype scale and employed confirmatory factor analysis and item response theory to assess the factor measurement model and item performance, respectively. Internal consistency was evaluated using McDonald's ω (omega) reliability coefficient. Study II was intended to validate the prototype scale through hypothesis testing. The survey assessed daily conversation frequency, teacher support perception, depression/anxiety, and the teacher-student relationship. Two models were constructed: one predicting the impact of daily conversation frequency on support perception and depression/anxiety and the other predicting the impact on the teacher-student relationship. It was hypothesized that both models would fit well, with daily conversation frequency positively associated with support perception and relationship, and depression/anxiety negatively associated with support perception and relationship.Result The sample analyzed in Survey I consisted of 1,394 students in grades 1-3. The results of confirmatory factor analysis, item response theory, and McDonald's omega reliability coefficient met the criteria. The sample for Survey II consisted of 1,688 students in grades 1-3. The results of the analysis supported the hypothesis.Conclusion The results of this study suggest that the prototype version of the scale was conceptually unidimensional and that the difficulty level of each item was well-balanced, indicating the successful development of a "High-School Students' Version of the Daily Conversation Scale with Classroom Teachers." By using this scale and examining the effects of the frequency of daily conversation with homeroom teachers on the psychology and behavior of high-school students, we believe that it will be possible to contribute to an understanding of primary prevention measures that homeroom teachers can take to address mental health problems among their high-school students. We believe that this scale will contribute to future school health activities in the field of public health.

Association between the change in the job facilitating and inhibiting factors of care staff due to the employment of older assistant workers and the emotional exhaustion among care staff

Objectives The mental health condition of care staff in Japan is becoming problematic. Older assistant workers are currently being employed to assist care staff with their jobs and alleviate their job burden. This employment of older assistant workers is drawing attention; however, their influence on the job facilitating and inhibiting factors of care staff and the association with the care staff's emotional exhaustion remains unclear. In this study, we aim to examine how the employment of older care assistant workers relates to the job-facilitating and job-inhibiting factors of care staff and explore that association with the care staff's emotional exhaustion.Methods Data from a mail survey of geriatric health services facilities with older assistant workers were analyzed. Among the answers obtained from the care staff, answers from 5,185 who reported working in facilities that employ older assistant workers (over the age of 60) were analyzed. The Emotional Exhaustion subscale of the Japanese Version of the Burnout Questionnaire was used as the dependent variable. The change in job-facilitating and job-inhibiting factors of care staff due to the employment of older assistant workers (improve, maintain/exacerbate) was explored for nine contents.Results Care staff reported a decrease in the total volume of the task (63.6%), less stress during daily tasks (39.8%), and more concentration on the tasks that require expert care knowledge (38.0%). The results of multiple regression analysis showed that the emotional exhaustion score of care staff was low when the total volume of tasks decreased (β=－0.383, 95%CI=－0.719, －0.047), when less stress was perceived during daily tasks (β=－0.432, 95%CI=－0.796, －0.068), when concentration on tasks that required expert care knowledge increased (β=－0.574, 95%CI=－0.937, －0.210), and when human relationships among staff improved (β=－0.871, 95%CI=－1.263, －0.480). Conversely, an increase in tasks requiring work with regional personnel and organizations (β=0.800, 95%CI=0.162, 1.437) was associated with a high emotional exhaustion score.Conclusion The employment of older care workers was related to the job-facilitating or job-inhibiting factors of care staff, and the change in these factors was associated with lower emotional exhaustion. The employment of older personnel may lower the risk of burnout among care staff.

Accelerating Single-Cell Sequencing Data Analysis with SciDAP: A User-Friendly Approach.

Single-cell (sc) RNA, ATAC and Multiome sequencing became powerful tools for uncovering biological and disease mechanisms. Unfortunately, manual analysis of sc data presents multiple challenges due to large data volumes and complexity of configuration parameters. This complexity, as well as not being able to reproduce a computational environment, affects the reproducibility of analysis results. The Scientific Data Analysis Platform (https://SciDAP.com) allows biologists without computational expertise to analyze sequencing-based data using portable and reproducible pipelines written in Common Workflow Language (CWL). Our suite of computational pipelines addresses the most common needs in scRNA-Seq, scATAC-Seq and scMultiome data analysis. When executed on SciDAP, it offers a user-friendly alternative to manual data processing, eliminating the need for coding expertise. In this protocol, we describe the use of SciDAP to analyze scMultiome data. Similar approaches can be used for analysis of scRNA-Seq, scATAC-Seq and scVDJ-Seq datasets.

Correlations between the peripheral coronary fat attenuation index based on computed tomography images, high-risk plaque and degree of coronary artery stenosis in patients with coronary atherosclerosis.

Coronary artery disease can be quantified by measuring the fat attenuation index (FAI). To explore the correlations between FAI, high-risk plaque and the degree of coronary artery stenosis. The clinical data of patients with coronary atherosclerosis who underwent a coronary computed tomography (CT) angiography examination between July 2020 and June 2023 were selected for retrospective analysis. These patients were classified into a high-risk plaque group and non-high-risk plaque group according to the presence of CT high-risk plaque. The diagnostic value of FAI and FAI combined with the degree of stenosis was evaluated for CT high-risk plaque. Differences in age, body mass index, smoking history, FAI and the degree of stenosis between the two groups were statistically significant (all P< 0.05). The results of a binary logistic regression analysis revealed that FAI (odds ratio (OR): 1.131, 95% confidence interval (CI): 1.101-1.173, P< 0.001) and the degree of stenosis (OR: 1.021, 95% CI: 1.012-1.107, P< 0.001) were risk factors for high-risk plaque. The FAI can be used to monitor the inflammation level of the coronary artery; the higher the FAI is, the higher the risk of plaque and degree of stenosis.

Mechanical Properties of Super-large and Shallow-buried Loess Tunnel with the Prefabricated Temporary Support

Background: At present, there are few studies on the mechanical properties of tunnels with prefabricated temporary support. Based on the project of the Xichengshan Tunnel on the highway from Zhuanglang to Tianshui, this paper studies the mechanical properties of tunnels with prefabricated temporary support The utility model patent for this article is a temporary steel support device for loess tunnel excavation. The patent number is ZL 2022 2 0141276. 1. Objective: The study aims to show the mechanical properties of a super large section of prefabricated temporary support shallow tunnel. Methods: The mechanical properties of the tunnel surrounding rock, lining, steel arch, anchor, and temporary support during construction were analyzed by combining numerical simulation and theoretical analysis. The maximum and minimum stresses of the tunnel surrounding rock, lining, steel arch, and anchor, and the maximum and minimum displacements of prefabricated temporary support were found through the analysis results. Results: The stress and displacement fields of surrounding rock, lining, steel arch, bolt, and temporary support of loess tunnel were analyzed. Results showed that the maximum principal stress of the surrounding rock is 0.293MPa, and the maximum horizontal displacement is 0.359cm. The maximum horizontal displacement of the lining is 0.413cm, the maximum vertical displacement of the steel arch is 1.538 cm, and the maximum displacement of the temporary support structure is 1.459 cm. The above data verify the safety of the proposed combined temporary support structure. Conclusion: Through the analysis results, the maximum and minimum stresses of the tunnel surrounding rock, lining, steel arch, and anchor, and the maximum and minimum displacements of assembled temporary support are found, which can guide subsequent construction.

Stigma and its influencing factors for seeking professional psychological help among pregnant women: A cross-sectional study

Although the stigma associated with seeking professional psychological help has received significant attention, few studies have focused on the status and factors influencing this stigma among pregnant women, especially those with a Chinese cultural background. This study aimed to assess the status of stigma associated with seeking professional psychological help and its influencing factors. A total of 1325 pregnant women were recruited from Hunan Province, China. The Stigma for Seeking Professional Psychological Help questionnaire, Patient Health Questionnaire-9, Perceived Social Support Scale, Simplified Coping Style Questionnaire, and questionnaires on sociodemographic characteristics and pregnancy-related information were used. Descriptive, univariate, correlation, and multivariate linear regression analyses were used to investigate the status of stigma and identify its influencing factors. Pregnant Chinese women experienced a mild to moderate level of stigma associated with seeking professional psychological help, and self-stigma was more common than social stigma associated with seeking psychological help. The results of the multivariate analysis suggested that perceived social support, positive coping styles, negative coping styles, and depressive symptoms were the factors influencing self-stigma and social stigma associated with seeking professional psychological help. Advanced age and a low educational level were the only predictors associated with self-stigma, while a history of multiple pregnancies had an effect only on social stigma associated with seeking professional psychological help. Chinese pregnant women experienced a mild to moderate level of stigma associated with seeking professional psychological help. Destigmatizing interventions focusing on self-stigma and social stigma should be designed according to maternal characteristics, social support, coping style, and depressive symptoms.

Smilax china L. polysaccharide prevents HFD induced-NAFLD by regulating hepatic fat metabolism and gut microbiota

BackgroundThe increasing incidence of nonalcoholic fatty liver disease(NAFLD) has urged the development of new therapeutics. NAFLD is intimately linked to gut microbiota due to the hepatic portal system, and utilizing natural polysaccharides as prebiotics has become a prospective strategy for preventing NAFLD. Smilax china L. polysaccharide (SCP) possesses excellent hepatoprotective and anti-inflammatory activity. However, its protective effects on NAFLD remains unclear. PurposeThe goal of this study was to explore the protective effects of SCP on high-fat diet (HFD)-induced NAFLD mice by regulating hepatic fat metabolism and gut microbiota. MethodsExtraction and isolation from Smilax china L. rhizome to obtain SCP. C57BL/6J mice were distributed to six groups: Control (normal chow diet), HFD-fed mice were assigned to HFD, simvastatin (SVT), and low-, medium-, high-doses of SCP for 12 weeks. The body, liver, and different adipose tissues weights were detected, and lipids in serum and liver were assessed. RT-PCR and Western blot were used to detect the hepatic fat metabolism-related genes and proteins. Gut microbiota of cecum contents was profiled through 16S rRNA gene sequencing. ResultsSCP effectively reversed HFD-induced increase weights of body, liver, and different adipose tissues. Lipid levels of serum and liver were also significantly reduced after SCP intervention. According to the results of RT-PCR and western blot analysis, SCP treatment up-regulated the genes and proteins related to lipolysis were up-regulated, while lipogenesis-related genes and proteins were down-regulated. Furthermore, the HFD-induced dysbiosis of intestinal microbiota was similarly repaired by SCP intervention, including enriching beneficial bacteria and depleting harmful bacteria. ConclusionSCP could effectively prevent HFD-induced NAFLD, might be considered as a prebiotic agent due to its excellent effects on altering hepatic fat metabolism and maintaining gut microbiota homeostasis.

Mathematics belief impact on metacognition in solving geometry: Middle school students

Mathematical beliefs and metacognitive knowledge play significant roles in solving mathematical problems; thus, this study aims to investigate the influence of middle school students' beliefs on their metacognitive knowledge when solving geometry problems. This study utilizes both quantitative and qualitative research methods. A linear regression test was used to determine the effect of middle school students' beliefs on their metacognitive knowledge. The results of the quantitative research analysis were followed up with a qualitative research approach to describe the metacognitive knowledge of students who have high and low confidence in solving geometric problems. This research involved 352 middle school students in the Tarakan area. Based on the results of linear regression, it is known that the beliefs of middle school students have a positive effect on their metacognitive knowledge when solving geometric problems. In addition, it was found that students with different beliefs could solve a given geometry problem, but the approach to solving it varied among subjects. Middle school students have diverse beliefs, but these variations do not affect their capacity to apply their metacognitive knowledge at every stage of solving mathematical problems.

Nanoencapsulation of Bixin and Norbixin in Sodium Alginate: Preparation, Characterization, and Release in Food Simulant

Aims: Bixin and norbixin are natural antioxidants used as pigments in the food industry, but their chemical structure makes them susceptible to environmental factors (light, oxygen, and temperature). Background: Nanoencapsulation techniques can improve the stability and solubility of these compounds in addition to reducing particle size which can increase surface:volume ratio and provide many attractive and unique properties to the nanoparticles. Objective: In this study, sodium alginate was used as wall material for the encapsulation of bixin and norbixin in different concentrations (1.25, 2.5, 5, and 7.5 g/g of biopolymer), by emulsification/internal gelation method. Methods: The emulsification/internal gelation method was used to elaborate bixin or norbixin-loaded nanospheres. The internal phase of the water-in-oil (W/O) emulsion was prepared with an aqueous solution of sodium alginate (1.5% w/v – 40 mL), 0.12 g of CaCO3, bixin or norbixin pigments, and mechanically stirred for 15 min at 700 rpm. Results: Nanospheres containing the highest concentration of both carotenoids showed better encapsulation efficiency, with 37.86% for bixin and 51.47% for norbixin, and these formulations were used for characterization analyses. The mean size of the nanospheres was 741.9 ± 41.0 nm, 622.9 ± 71.0 nm, and 589.5 ± 99.1 nm for control particles, bixin, and norbixin, respectively. The addition of both carotenoids resulted in particles with a yellow-red color, which demonstrates the encapsulation of natural antioxidants. The thermal analysis results may indicate an increase in the thermal stability of the pigments after encapsulation, in addition, the nanospheres exhibited the ability to scavenge the ABTS+ radical. Carotenoids release test in food simulant (95% ethanol) presented a rapid release in the first hours and maintenance of concentration for 10 days. Conclusion: Results showed that these nanospheres could be an alternative to the application of these carotenoid pigments in food matrices and food packaging.

The Quality Analysis of Of Rolled Pancake with Carrot Extract Substitution as Natural Food Colouring

This research aims to analyze the effect of 0%, 15%, 30% and 45% substitution of carrot extract to the quality of rolled pancakes in terms of shape, color, aroma, texture and taste. This research was conducted in August 2023 at the Culinary Workshop, Department of Family Welfare Sciences, Faculty of Tourism and Hospitality, Padang State University. This type of research is a pure experiment using a completely randomized design method consisting of 4 treatments and 3 repetitions. The data used is primary data obtained from 3 expert panelists using an organoleptic test format on the quality of rolled pancakes with the substitution of carrot extract. The data obtained was then tabulated in table form and analysis of variance (ANOVA) was carried out. If F count &gt; F table then proceed with the Duncan test. The results of this research show that there is a significant effect of substitution of 0%, 15%, 30% and 45% carrot extract on the quality of color and aroma of rolled pancakes. The results of data analysis obtained the highest overall achievement scores, namely: neat shape 3.56 (45%), uniform shape 3.44 (30%), color 3.44 (45%), aroma 3.67 (45%), texture 3.67 (45%) and taste 4.00 (45%). The results of the quality test for rolled pancakes with the best carrot extract substitution were 45% (X3).

A need analysis of the high-frequency words (HFW) dictionary for the Indonesian language for foreigners (ILF)-1 learning

This is a preliminary study of research development for creating a dictionary of high-frequency words (HFW). Thus, this study tries to analyze the need of the ILF learners as the users of a dictionary of HFW for their ILF learning. A list of high-frequency words should be used in ILF learning so that the learning objectives can be achieved effectively. Unfortunately, the word list is not yet available. The ILF learners, especially those at the beginner level, still have difficulty using the Great Dictionary of the Indonesian Language (KBBI). They prefer using translation apps to obtain the meaning of a word, even though these apps do not always help. Employing a descriptive survey, this study involved a total of 183 ILF teachers and learners. The data were gathered through Google-form questionnaires. In addition, interviews were administered with selected ILF teachers who had a teaching experience of more than 15 years. The findings revealed that the teachers and learners had different beliefs on the vocabulary forms needed for making a dictionary of HFW. The learners still did not understand the concepts of high-frequency words. According to the teachers, HFW was more needed for ILF learning. Meanwhile, for the learners, general words were more needed. Besides, digital dictionaries were more in demand than printed dictionaries. Bilingual dictionaries were more needed than monolingual dictionaries. Both the teachers and learners believed that the dictionary of HFW should comprise sentence examples. They both agreed that the dictionary of HFW should provide information about the use of words in sentence examples, affixes, synonymous phrases, antonyms, word classes, and phonetics. Therefore, the results of this research analysis can be used as a basis for developing a dictionary that fits the needs of ILF-1 learners.

AxOMaP : Designing FPGA-based A ppro x imate Arithmetic O perators using Ma thematical P rogramming

With the increasing application of machine learning (ML) algorithms in embedded systems, there is a rising necessity to design low-cost computer arithmetic for these resource-constrained systems. As a result, emerging models of computation, such as approximate and stochastic computing, that leverage the inherent error-resilience of such algorithms are being actively explored for implementing ML inference on resource-constrained systems. Approximate computing (AxC) aims to provide disproportionate gains in the power, performance, and area (PPA) of an application by allowing some level of reduction in its behavioral accuracy (BEHAV). Using approximate operators (AxOs) for computer arithmetic forms one of the more prevalent methods of implementing AxC. AxOs provide the additional scope for finer granularity of optimization, compared to only precision scaling of computer arithmetic. To this end, the design of platform-specific and cost-efficient approximate operators forms an important research goal. Recently, multiple works have reported the use of AI/ML-based approaches for synthesizing novel FPGA-based AxOs. However, most of such works limit the use of AI/ML to designing ML-based surrogate functions that are used during iterative optimization processes. To this end, we propose a novel data analysis-driven mathematical programming-based approach to synthesizing approximate operators for FPGAs. Specifically, we formulate mixed integer quadratically constrained programs based on the results of correlation analysis of the characterization data and use the solutions to enable a more directed search approach for evolutionary optimization algorithms. Compared to traditional evolutionary algorithms-based optimization, we report up to 21% improvement in the hypervolume, for joint optimization of PPA and BEHAV, in the design of signed 8-bit multipliers. Further, we report up to 27% better hypervolume than other state-of-the-art approaches to DSE for FPGA-based application-specific AxOs.

The Effect Of Addition Skipjack Tuna On The Quality Of Wet Corn Noodles

Wet corn noodles are a food product made from wheat flour with the addition of corn flour. This research aims to analyze the effect of adding 10% skipjack tuna on the quality of shape, color, texture, aroma and taste of wet corn noodles. This type of research is experimental using the Independent Sample T-test method. The data used is primary data obtained directly from three expert panelists by filling in the organoleptic test format for the quality of wet corn noodles with the addition of skipjack tuna and secondary data from journals. The data obtained was then tabulated in table form and a level test was carried out on each variable X1 and X2 to find out whether there was a mean comparison for these variables using the Independent Sample T-test. The results of this research show that there is an effect of adding 10% of skipjack tuna on the quality of shape, color, texture, aroma and taste. The results of data analysis obtained the highest overall achievement scores, namely neat shape quality 3.78 (quite neat), uniform shape quality 3.89 (quite uniform), color quality 2.78 (less yellow), springy texture quality 3.67 (fair chewy), easy to break texture quality 2.22 (less easy to break), aroma quality 3.78 (quite a typical wet noodle aroma), taste quality 3.78 (quite tasty). Test results for the best quality of wet corn noodles with the addition of skipjack tuna in treatment X2 with the addition of 10% skipjack tuna.

The Effect Of Adding Carboxy Methyl Cellulose (Cmc) On The Characteristics Of Orange Sweet Potato Jam

This Study aims to analyze the effect of addition Carboxy Methyl Cellulose (CMC) as much as 0%, 0.5%, 1%, 1.5% and 2% on the quality of color, aroma, soft texture, easy to spread texture and taste of orange sweet potato jam. This type of research is a pure experiment using a Completely Randomized Design method consisting of 5 treatments and 3 repetitions. To analyze the quality of orange sweet potato jam, an organoleptic test was carried out involving 3 expert panelists. The data obtained was then tabulated and continued with ANOVA. If F count &gt; F table then proceed with the Duncan test. The results of this research show that the addition of CMC has an effect on the quality of the soft texture and the texture is easy to spread. Meanwhile, the quality of color, aroma and taste has no effect. The results of data analysis obtained the highest overall achievement scores, namely color 3.67 (2%), aroma 3.67 (2%), easy to spread texture 4.00 (2%), soft texture 4.00 (2%), and taste 4.00 (2%). The best quality test results for orange sweet potato jam with the addition of CMC were in treatment X4 with the addition of 2% CMC.

DL-TBAM: Deep Learning Transformer based Architecture Model for Sentiment Analysis on Tamil-English Dataset

NLP, or natural language processing, is a subfield of AI that aims to equip computers with the ability to understand and analyze human language. Sentiment analysis is a widely used application of NLP, particularly for examining attitudes expressed in online conversations. Nevertheless, many social media comments are written in languages that are not native to the authors, making sentiment analysis more difficult, especially for languages with limited resources, such as Tamil. To tackle this issue, a code-mixed and sentiment-annotated corpus in Tamil and English was created. This article will explain how the corpus was established, including the process of data collection and the assignment of polarities. The article will also explore the agreement between annotators and the results of sentiment analysis performed on the corpus. This work signifies various performance metrics such as precision, recall, support, and F1-score for the transformer-based model such as BERT, RoBerta, and XLM-RoBerta. Among the various models, XLM-Robert shows slightly significant positive results on the code-mixed corpus when compared to the state of art models.

Mediating effect of knowledge sharing between participative decision making, transformational leadership and organization performance

This is the era of information economy. Performance of the organization is credited to knowledge and information. Intellectual capital is considered to be the most important assets. But dilemma is that only some organization focus on generation and preservation of knowledge. Participative decision making and transformational leaders are great tools of successful implementation of Knowledge management practices. This study is intended to study the impact of the impact of Knowledge Sharing, Participative Decision Making and Transformational Leadership on Organization Performance. A survey instrument covering knowledge sharing (KS), participative decision making (PDM), transformational leadership (TL), and organizational performance was developed. Data was collected by postal and personal surveys from health, education, manufacturing, telecom, and financial sector of Gujranwala and Lahore region of Pakistan using stratified random sampling technique. Sample size was 300 and 245 complete questionnaires were received back with response rate of 81.7%. The survey instrument used for the study was shown to be valid and reliable. Statistical analytical tools like (kindly mention all the tools) were used. Results of data analysis proposed a correlation between  This study is probably the first to understand the impact of KM practices on organizational performance. It offers valuable information about KM to all the organizations particularly those operating in Pakistan.

Psychological Skills in Relation to Academic Achievement through Swimming Context

This study aimed to investigate: (1) the level of psychological skills among students enrolled in swimming courses at the Physical Education faculties in the Jordanian Universities. (2) the relation between their psychological skills and academic achievement. (3) the differences in these psychological skills according to gender. The descriptive approach was used to conduct this study. The study sample consisted of (260) male and female students enrolled in intermediate and advanced level swimming courses at the School of Sport Sciences/ University of Jordan. Students’ final academic achievement records in addition to the “Life skills through swimming context” scale was used to collect required data. The results of the statistical analysis revealed an average level of psychological skills, significant differences in psychological skills level in favor of female students, A level students, and JU students, and a positive significant relation between psychological skills and academic achievement. In conclusion, it is important to design comprehensive psychological skills-based study plans for swimming courses and in different sports fields. Also, to conduct specified training and guidance courses in this domain to improve psychological skills, teaching competencies, and academic achievement.

Prevalence and predictive factors of colorectal sessile serrated lesions in younger individuals.

Sessile serrated lesions (SSLs) are obscured lesions predominantly in the right-sided colon and associated with interval colorectal cancer; however, their prevalence and risk factors among younger individuals remain unclear. This retrospective study enrolled individuals who underwent index colonoscopy. The primary outcome was the SSL prevalence in the younger (<50 years) and older (≥50 years) age groups, while the secondary outcomes included clinically significant serrated polyps (CSSPs). Multivariable logistic regression was employed to identify predictors. Of the 9854 eligible individuals, 4712 (47.8%) were categorized into the younger age group. Individuals in the younger age group exhibited lower prevalences of adenomas (22.6% vs. 46.2%; P<0.001) and right-sided adenomas (11.2% vs. 27.2%; P<0.001) compared with their older counterparts. However, both groups exhibited a similar prevalence of SSLs (7.2% vs. 6.5%; P=0.16) and CSSPs (10.3% vs. 10.3%;P=0.96). Multivariable analysis revealed that age 40-49 years (odds ratio [OR] 1.81, 95%CI 1.01-3.23), longer withdrawal time (OR 1.17, 95%CI 1.14-1.20, per minute increment), and endoscopist performance (OR 3.35, 95%CI 2.44-4.58) were independent predictors of SSL detection in the younger age group. No significant correlation was observed between adenoma and SSL detection rates among endoscopists. SSLs are not uncommon among younger individuals. Moreover, diligent effort and expertise are of paramount importance in SSL detection. Future studies should explore the clinical significance of SSLs in individuals of younger age.

Exploring science identity among Jordanian high school students: a case study

This study aimed to investigate the validity and reliability of the Arabic version of the science identity scale (SIS) and to explore any differences in levels of science identity due to gender. The study sample comprised 304 male and female high school students who had completed the SIS. To achieve study objectives, exploratory factor analysis and confirmatory factor analysis were used. The results of the exploratory factor analysis showed that four factors explained (40.542%) of total variance. The results of the confirmatory factor analysis indicated a good model fit, and the Cronbach alpha was calculated to be 0.85 for the SIS. Finally, the results revealed statistically significant differences in the level of science identity and its subscales (science performance, science competence, science recognition, and science interest) based on the gender variable, with females scoring higher. The study recommends that teachers utilize the SIS to assess the level of science identity among students and implement teaching practices aimed at enhancing the science identity of secondary school students.