High Positive Correlation Research Articles

Saliva as a Diagnostic Tool for Early Detection of Exercise-Induced Oxidative Damage in Female Athletes.

Although blood still remains the most commonly utilized medium to detect increased levels of oxidative damage induced by exercise, saliva diagnostics have gained increasing popularity due to their non-invasive nature and athlete-friendly collection process. Given that the contribution of various phases of the menstrual cycle to the levels of oxidative damage may differ, the aim of this study was to evaluate an agreement between salivary and plasmatic levels of lipid peroxidation products in female swimmers in both the follicular (F) and luteal (L) phases of the menstrual cycle at rest and following exercise. Twelve well-trained female swimmers aged 19.6 ± 1.1 years old were examined. We measured diene conjugates (DCs), triene conjugates (TCs), and Schiff bases (SBs) in lipids immediately after their extraction from both saliva and blood plasma. All female swimmers were studied two times each, in the two different phases of one menstrual cycle, before and after high-intensity interval exercise (HIIE). Salivary and plasmatic levels of DCs, TCs, and SBs significantly increased post-exercise compared to pre-exercise, in both the F and L phases. A high positive correlation was observed between the concentrations of DCs, TCs, and SBs in the saliva and blood plasma of participants in the F and L phases, both at rest and following HIIE. Ordinary least products regression analysis indicates that there was no proportional and differential bias in the data. The Bland-Altman method also declares that there was no differential bias, since the line of equality was within the 95% confidence interval of the mean difference between salivary and plasmatic levels of DCs, TCs, and SBs in female swimmers, in both the F and L phases, before and after HIIE. There was also no proportional bias in the Bland-Altman plots. Thus, this is the first study to report a high agreement between the quantifications of DCs, TCs, and SBs in the saliva and blood plasma of female swimmers in both the F and L phases, at rest and following HIIE.

Strategic management and its influence on the economic and financial situation of the MSEs in the hardware sector of the Jesús María district, in times of pandemic

The objective of this research was to determine the relationship between strategic management and the economic and financial situation of micro and small enterprises (MSEs) in the hardware sector of the Jesús María district during the COVID-19 pandemic in the period 2020-2021. A quantitative approach and correlational scope were used, with a sample of 26 MSEs and the data collection technique was a survey. The results showed a very high positive correlation between strategic management and the economic and financial situation, supporting the importance of strategic management in the competitiveness and economic development of MSEs. It was concluded that strategic formulation, strategic execution, and strategic control are also related to the economic and financial situation of MSEs. These conclusions have significant implications for companies in the hardware sector, as they highlight the importance of effective strategic management in times of crisis. The findings support the need to plan, execute, and control strategies to face economic and financial challenges.

Urine Exosomal MicroRNA Profiling in the Family Investigation of Nephropathy and Diabetes (FIND)

About 1 in 3 adults with either type 1 or type 2 diabetes (T2D) has some degree of renal injury or diabetic nephropathy (DN). There is a need to develop more sensitive and specific means of detecting and gauging DN progression so that therapies can be started as early as possible. We hypothesized that UE microRNAs (miRs), small, non-coding 21-25 nucleotide species, a relatively stable readout of renal metabolic health, could be utilized in this fashion. From the NIH, NIDDK Central Repository, we obtained 299 urine samples (300 ml) from African American subjects previously enrolled in the FIND study. The FIND study was initially designed to elucidate genetic determinants of DN in related patient populations using both T2D and non-diabetic control (CTRL), male (M) and female (F) subjects. Our samples included: 20 CTRL-M, 46 CTRL-F, 43 T2D-M, and 90 T2D-F). Other deidentified demographic and clinical data was obtained from the NIH. We measured urine albumin and creatinine in the samples and calculated ratios (mg albumin/g creatinine). Patients were categorized as normal (N, < 30, 120 subjects), microalbuminuric (MIC, 30-300, 33 subjects), or macroalbuminuric (MAC, >300, 46 subjects). Urine exosomes (UE) were isolated from each urine using the Total Exosome Isolation (from urine) kit (Thermofisher), which allows for precipitation of water-insoluble exosomes via centrifugation at medium speed (10,000g) for 1 hour. Small RNA was isolated followed by cDNA synthesis using commercially-available kits (Qiagen). Previously, we found miR-451a to be more highly expressed in UE from human subjects with chronic kidney disease, than in control subjects. We also found this miR to be a potential predictive biomarker for albuminuria in diabetic rats. Therefore, first we used conventional qRT-PCR to evaluate UE levels of miR-451a, as well as, the anti-sense product, miR-451b. MiR-127 was used as the internal standard, as it has been reported not to change with T2D. In MAC subjects, we found that the UE median miR-451a level increased with a fold change (FC) of 3.5 (relative to N). Similarly, miR-451b showed a 3.6-fold increase. FC in the MIC groups were 2.9 and 2.5 for miR-451a and b, respectively (relative to N). Next we conducted an unbiased screen of commonly excreted miRs in these subjects using a miR Array (miRCURY LNA miRNA Focus PCR panel, Qiagen) configured with 88 targets highly expressed in UE. We screened 19 subjects representing a range of conditions, i.e., albuminuric and normal, diabetic and non-diabetic, male and female. We found positive signals in 5 or more subjects for 16 miRs. Of those, 12, i.e., let-7b-5p, miR-16-5p, miR-23b-3p, miR-26a-5p, miR-27a-3p, miR-30a-5p, miR-30b-5p, miR-30c-5p, miR30e-5p, miR-141-3p, miR-203a, and miR-204-5p were expressed at mean levels 2-fold higher in MAC versus N subjects. Furthermore, 13 of these miRs were also over 2-fold higher when subjects were divided as T2D versus CTRL, i.e., the above list plus miR-200c-3p and miR-30d-5p, but not let-7b-5p in this case. When subjects were not divided by groups, miR-598-5p had the highest positive correlation with urinary albumin excretion, R = 0.53 and p = 0.035 (for slope ≠ 0). Using miRNet (McGill University), a freely available miR analysis software tool, we mined for common targets of miR-451(a & b) and miR-598. One putative target of both miR-451b and miR-598 was vascular endothelial growth factor A (VEGFA), which has been shown to play a role in DN. In sum, these miRs represent candidate targets to undergo additional scrutiny. We conclude UE miRs may hold clinical value in the non-invasive assessment of DN severity and predicting progression. NIH/NINDS U01-DK103225 (Feldman, PI); Ecelbarger Pilot. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Exploring Endocrine Signaling between Adipose Tissues and the Heart using Transfer Learning and Induced Pluripotent Stem Cell Models

Background: Because of the amount of evidence pointed toward obesity as a co-morbidity of heart disease, our goal in this study is to use a data-driven method to discover potential cross talk signals between adipose and cardiac tissues, which may reveal a physiological reason for this association. For this study, we hypothesized that adipose-cardiac crosstalk signaling can be found by unexpected co-expression between adipose tissue genes encoding secreted proteins and cardiac tissue genes and vice versa. By discovering new crosstalk signals between these two tissues, we can find new associations between heart disease and obesity. Methods: Cross-tissue correlations of gene expression have been used to identify candidate endocrine signals that mediate tissue crosstalk, which are otherwise diffcult to detect in circulation. However, the identification of significant cross-tissue gene co-expression is hindered by immense multiple-testing burden. Our goal here is to abstract gene expression patterns of tissues into eigengenes and then test their correlation with secreted protein coding genes across tissues in a pairwise fashion. We first used the NIH Common Fund Genotype-Tissue Expression data set (GTEx v8) which contains RNA seq gene expression data from matched tissues of over 17,000 transcriptomes, to learn the latent structure of gene expression across tissues. To do so, we used PLIER (pathway level information extractor), a matrix factorization algorithm to extract the latent targets as eigengenes that map to specific biological pathways in the target tissue (e.g., pathways in the heart in the case of adipose to heart crosstalk). The learned gene expression structure is then transferred to a smaller data set with matching donor adipose and heart transcript expression data, from which a correlation matrix is constructed to find significant relationships between source tissue crosstalk signals and target tissue eigengenes and nominate novel crosstalk signals. Results: Adipose to heart tissue cross talk correlations using PLIER derived latent eigengene targets revealed many adipokines that had strong correlations with pathways found in the heart tissue through similar gene expression. Among these strong correlations were eigengene targets that were wrapped in metabolism pathways particularly those of fatty acid, phospholipid, and protein metabolism. Adipokines that showed high significant and positive correlation with cardiac latent variable expression included Adiponectin (R = 0.32, p = 4.7e−13), Glutathione Peroxidase 3 (R = 0.34, p = 5e−15) and Galectin 9 (R = 0.37, p < 2.2e−16) among others. Based on these results, we nominated new potential relationships between adipose and cardiac tissue. Work is currently under way to validate these candidate crosstalk signals using human induced pluripotent stem cell (iPSC)-derived cardiomyocytes. Future Directions In conclusion, we have found strong evidence in silico to suggest a relationship between known secreted proteins from adipose tissue (adipokine) and the expression of important pathways (such as fatty acid and protein metabolism) in the heart. Based on the findings of these correlations between adipokines and latent eigengene pathways within the heart, our future directions will involved the understanding of potential downstream functional consequences mediated by the adipose secreted proteins in iPSC derived models. This project was supported in part by NIH award R03-OD032666 and the University of Colorado Translational Research Scholar Program to E.L. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Three-dimensional quantification of soft tissue changes and its relationship to skeletal changes after Le Fort III, monobloc, and facial bipartition in syndromic craniosynostosis

To determine the effect of midface surgery on soft tissue changes and their relationship to hard tissue changes in patients with syndromic craniosynostosis. A retrospective analysis of patients who had undergone Le Fort III (LFIII), monobloc (MB), or facial bipartition (FB) was conducted. A 3D soft tissue mesh was generated from the preoperative scan and registered to the postoperative scan, after which the advancement was visualised. A total of 68 patients were included: 28 had undergone LFIII, 27 MB, and 13 FB. The included diagnoses were Apert (n = 23), Crouzon (n = 34), and craniofrontonasal syndrome (n = 11). After LFIII, most soft tissue advancement was seen around subnasale and pronasale (mean 15.1 ± 5.9 mm and 14.7 ± 5.7 mm, at age 7–12 years). After MB, a greater hard tissue than soft tissue advancement was seen for most landmarks, showing a high positive correlation. In patients undergoing FB without distraction (n = 10), mean preoperative inter-canthal distance was 48.9 mm, this reduced by 6.9 mm postoperatively. This study provides a comprehensive overview of the outcomes after midface surgery using 3D quantification for a better understanding of the soft tissue changes and their relationship to hard tissue changes.

The Relationship between EFL Learners’ First Impression of their Instructors and their Speaking Performance

The paper examines the relationship between EFL learners' first impressions of their instructors and their speaking performance. The study employed a mixed-methods approach, combining a test and a questionnaire to provide a comprehensive analysis. The participants were 81 EFL learners at Taif University. The results revealed that the correlation coefficient (r) for the scores and all the constructs was small and not significant, indicating that the first impression of the students of their instructors did not affect their performance on the speaking test. We observed that the correlations among the constructs ranged from medium to high positive correlations. The study used a questionnaire to collect data on the factors that influence the first impression of the instructors, such as physical appearance, attitude, and communication style. The results showed that physical appearance and attitude were the most significant factors that affected the first impression of the instructors. The study also found that the participants who had a positive first impression of their instructors tended to perform better in speaking tasks and had higher levels of motivation and engagement.

The Correlation between Self-esteem and Personal Characteristics of MZ Generation's Cosmetics Purchase

In modern society, each individual's personality is important and aesthetic standards are changing day by day. It is also a human instinct to emphasize beauty from others. It is emerging as an important factor in purchasing cosmetics that express these aesthetic needs. In this study, the purpose of the study on the effects of cosmetics purchase, self-esteem, and personal characteristics targeting the MZ generation, which is currently the most actively consumed and socially active, is as follows. First, we examine the difference in self-esteem from purchasing cosmetics with general characteristics. Second, it examines the difference in personal characteristics according to the purchase of cosmetics with general characteristics. Third, we examine the correlation between self-esteem and personal characteristics of MZ generation's cosmetics purchase. Fourth, it examines the effect of self-esteem on personal characteristics of MZ generation's cosmetics purchase. All empirical analyses in this study were verified at the significance level of 5%, and statistical processing was analyzed using the SPSSWIN 21.0 program. Specific analysis methods are as follows. 1. Frequency analysis was conducted to find out the general characteristics of the survey subjects. 2. A factor analysis was conducted to verify the validity of the questions on self-esteem and personal characteristics, and the reliability was judged by Cronbach's coefficient. 3. Descriptive statistical analysis was conducted to find out the average and standard deviation of self-esteem and individual characteristics. 4. To find out the difference in self-esteem and individual characteristics according to the general characteristics of the survey subjects, t-test and one-way variance analysis were conducted, and significant differences were tested at p<.05 through Scheffe's multi-range test. 5. Correlation analysis was conducted to find out the relationship between self-esteem and personal characteristics. 6. Multiple regression analysis was conducted to find out the effect of self-esteem on individual characteristics. The results of this study are summarized as follows. First, the difference in self-esteem according to the general characteristics of the survey subjects was significant in the difference in self-esteem according to age, marital status, and the number of cosmetics purchases. Second, in the difference in individual characteristics according to the general characteristics of the survey subjects, the difference in individual characteristics according to gender, age, and number of cosmetics purchases was significant. Third, in the correlation between self-esteem and individual characteristics, individual characteristics had high positive correlations in the order of self-esteem optimism, interpersonal relationships, and confidence. All were found to have a high positive correlation with self-esteem. Fourth, as a result of conducting multiple regression analysis to find out the effect of self-esteem on individual characteristics, the estimated model was found to be significant as a result of variance analysis on the model. It was significant as a result of conducting multiple regression analysis to find out the effect of self-esteem on optimism. It was significant as a result of multiple regression analysis to find out the effect of self-esteem on self-efficacy. It was significant as a result of multiple regression analysis to find out the effect of self-esteem on resilience.

노화불안의 척도 개발 및 타당화

This study aimed to analyze the actual contents of elderly people's anxiety about aging, develop a tool to measure aging anxiety based on this analysis, and validate it. Based on the factors of aging anxiety obtained through the analysis of existing scales for aging anxiety, the analysis of literature related to aging and aging anxiety, and in-depth interviews with 15 elderly participants in the "Senior Culture Leisure Total Service Program," 45 preliminary items consisting of 5 domains and 11 factors were selected. As a result of conducting face-to-face and online surveys targeting 50 to 59-year-old pre-elderly individuals and 216 elderly individuals aged 60 and older living in D, G, and I cities, the final sample of 200 respondents was selected. To validate the obtained data, a series of exploratory factor analyses, confirmatory factor analyses, and a concurrent validity analysis were conducted. As a result of the analyses, 10 aging anxiety factors corresponding to physical, psychological, social, environmental, and existential domains were identified, including health loss, attractiveness loss, cognitive function loss, emotional changes, material loss, relationship loss, role loss, loss of meaning in life, death anxiety, and contextual maladjustment. Furthermore, these aging anxiety factors showed relatively high positive correlations with the factors of "life stress" selected as criteria for concurrent validity verification. It is expected that the aging anxiety assessment developed and validated in this study will help to diagnose the factors of psychological anxiety in the elderly more precisely and contribute to providing adaptive counseling support for the elderly.

Changes in Future Rainfall over Southeast Asia Using the CMIP6 Multi-model Ensemble

A multi-model ensemble from the new CMIP6 models was utilized to determine the future changes in precipitation over Southeast Asia (SEA; longitude: 90°E–140°E, latitude: 15°S–30°N). The changes are computed for the three (3) future time slices (2021–2040, 2041–2060, and 2081–2100) under four (4) different scenarios based on the Shared Socioeconomic Pathways (SSPs): 1-2.6, 2-4.5, 3-7.0, and 5-8.5. Our results indicate that future rainfall in the SEA-averaged region could increase by about 4%, 5%, 6%, and 9% towards the end of the century relative to the present-day average (1995–2014) under SSP1-2.6, 2-4.5, 3-7.0, and 5-8.5, respectively. Among all scenarios, SSP3-7.0 widely shows remarkably dry conditions whereas SSP5-8.5 suggests extremely wet conditions on different time scales. A clear dissociation of wet and dry areas is expected in the far-term period (2081–2100). Changes in the annual cycle indicate that monsoon rainfall could experience significant increases. The study also emphasizes the importance of moisture flux convergence (MFC) in determining precipitation patterns across different seasons and regions. The results suggest that MFC plays a crucial role in the projected increase or decrease of rainfall in SEA regions. Spatial correlation of future global mean temperature (GMT) and rainfall have a high positive (negative) correlation in the north (south) latitudes. Changes in rainfall are found to be sensitive to GMT. The responses to future rainfall changes per degree Celsius of warming are at the rate of 8.9%, 6.3%, 3.6%, and 2.7% under SSP1-2.6, 2-4.5, 3-7.0, and 5-8.5, respectively.

Comparison of the Effects of Teaching Presence and Social Presence on Learning Outcomes According to the Types of Liberal Arts Classes

This study attempted to measure whether there is a difference in the impact of teaching presence and social presence on learning outcomes in university liberal arts classes according to online and offline class types. In addition, based on the differences found according to class type, this study attempted to propose a plan to improve online classes. For this purpose, a survey was conducted among 422 students who took the class ‘Anthropology Ⅱ’. The results were as follows. </br>First, there was a difference in the average of teaching presence and social presence according to the type of class, but no difference in learning outcomes. Second, the correlation between all variables was statistically significant in both online and offline classes, and both variables showed a high positive correlation. Thirdly, this study found that the types of presence that affected learning outcomes differed according to the type of class. The influence of teaching presence in online classes and social presence in offline classes on learning outcomes was relatively high. Based on the research findings, this study suggests some pedagogical implications that can promote a sense of teaching presence and social presence when running liberal arts classes online.

Impact of water quality and morphometric indices on the spatio-temporal prevalence of fish endo-parasites and diversity in the Ase River, Niger-Delta, Nigeria.

Three stations along the Ase River, Delta State Nigeria provided water and 85 fish samples which were analyzed. The fish were measured and examined for endoparasites according to established protocol. All water quality parameters investigated were within the WHO-acceptable values for surface waters. Station variation of physicochemical parameters was not statistically significant (p > 0.05). Fish body conformation indices positively correlated with the prevalence of parasites in Clarias gariepinus, Heterobranchus longifilis, Parachana africana, Chromidotilapia guntheri guntherii, and Denticeps clupeodes. The overall parasite prevalence of 63.53% was established with the most abundant parasite being Trichodina mutabillis. The parasites had a predilection for the gastrointestinal tract with a high occurrence of 307 individuals. Stations 1, 2, and 3 had 326, 213, and 259 parasites, respectively, out of a total of 798 parasites detected. P. laevis was absent in station 1. All parasites were found in stations 2 and 3. Statistically, there was a significant difference (p < 0.05) in the prevalence in all stations. The correlation index of T. mutabillis and R. congolensis in stations 1 and 3 was positively strong (p < 0.05) with the concentrations of water quality. However, water conditions in stations 1 and 3 had a deleterious impact on P. laevis. T. mutabillis maintained a high positive correlation with physicochemical water quality in all three stations. Shannon-Weiner's index in station 3 (H = 1.337) shows that the parasites were more diverse. PCA and biodiversity indices have enabled us to comprehend how parasite-host-environment systems interact.

The Correlation Between Eighth-Grade Students’ Metacognitive Reading Awareness, Reading Intrinsic Motivation, and Reading Habits

Reading, which improves language and mental skills, is the most effective way to reach information from the past to the present. The study tried to determine the relationship between the metacognitive reading awareness, reading intrinsic motivations, and reading motivations of eighth-grade students. The study group consists of 132 eighth-grade students in a secondary school in the Battalgazi district of Malatya province—the research design is a relational screening model. The metacognitive reading awareness scale,” “Intrinsic Reading Motivation Scale,” and “Book Reading Habit Scale” were used as data collection tools. As a result of the analyses, the students got moderate scores from the metacognitive reading awareness, intrinsic motivation, and book reading habit scales. Moreover, no notable difference was found in students’ metacognitive reading strategies, reading motivations, and reading habits according to gender. The study suggests no significant link exists between “metacognitive reading awareness” and “intrinsic motivation to read,” based on the correlation analysis conducted on the three scales. Nonetheless, there were exceptionally high positive correlations among the sub-dimensions of the scales.

Evaluating free segmentation tools for CBCT-derived models: Cost-effective solutions.

This study evaluated the segmentation accuracy and reliability of free software packages and compared them with commercial alternatives. A total of 36 stone models were scanned using a desktop scanner and then imaged by cone beam computed tomography (CBCT). The CBCT volumes were segmented using 2 free software packages (3D Slicer and Blue Sky Plan) and 2 commercial software packages (Mimics and OnDemand3D). Stereolithography (STL) files generated by the desktop scanner were used as the control group (reference models). The accuracy of segmentation was evaluated by (1) comparing 6 linear measurements taken from each STL model generated by the 4 software packages with that obtained by the scanner, and (2) deviation analysis of each STL model generated by the 4 software packages with that obtained by the scanner. Absolute error and percentage error, repeated measures anova and Friedman test followed by post hoc analysis, intraclass correlation coefficient (ICC), and Pearson's r were used to evaluate the accuracy of the tested software packages. There was no statistically significant difference in all intra-arch measurements obtained using the four software packages. Measurements obtained using the free software packages and the scanner showed excellent positive correlation, ranging from 0.825 to 0.988, confirming equivalence with commercial software packages. Within the settings of the current study, accurate and time-saving segmentations with high positive correlation could be performed using the tested free segmentation software packages (3D Slicer and Blue Sky Plan). Nevertheless, further evaluation is necessary to gage their accuracy using different CBCT modalities.

Integrated petrophysical, sedimentological and well-log study of the Mangahewa Formation, Taranaki Basin, New Zealand

This study aims to address the problem of porosity preservation in the Mangahewa Formation of five main hydrocarbon fields covering onshore and offshore of the Taranaki Basin. An integrated reservoir characterization of the Middle to Late Eocene Mangahewa Formation is achieved through petrophysical evaluation, sedimentological and petrographical descriptions, and well log analysis methods. Petrophysical parameters (porosity and permeability) were acquired from the available core analysis and using mathematical equations to obtain other petrophysical matrices such as normalized porosity index (NPI) and reservoir quality index (RQI). Factors that affected Mangahewa reservoir were studied through thin-section microscopy and well-log analysis helped to measure the reservoir and hydrocarbon potentiality in the Mangahewa Formation. The Mangahewa Formation is dominated by sandstone and a range of marginal to shallow marine facies with varying hydraulic flow units (HFU). The Mangahewa Formation has a high positive correlation in porosity-permeability relationship and has a maximum of 4.67 μm RQI and 20.08 μm FZI (Well Kapuni-14) which reflect potential reservoir. The Mangahewa Formation observed from Wells Kapuni-14, Maui-A1G, McKee-16A, and Mokau-1 are dominated with 59.6%, 56.4%, 79.3%, and 68% of macro- and megapores, respectively. The presence of authigenic clay and calcite cement has greatly reduced the reservoir quality; however, primary and secondary pores are still observed within the Mangahewa sands. Moreover, well log analysis was carried out on four wells in Taranaki Basin, to run a qualitative and quantitative analysis of the Mangahewa reservoir. Eight potential reservoir zones were examined, revealing that the Mangahewa Formation has a very low shale volume of less than 6%, good effective porosity ranging between 11.0% and 13.3%, up to 36.2% of average water saturation and maximum of 69.8% average hydrocarbon saturation. In conclusion, from this comprehensive study, it can be deduced that the Mangahewa Formation possesses fair to good reservoir quality and hydrocarbon potentiality.

The impact of sustainable practices on consumer behaviour in the UK automobile sector

Purpose: Sustainability plays a crucial part in consumer decision-making in a world that is changing quickly and where social and environmental issues are of utmost significance. With an emphasis on comprehending how sustainable activities affect consumer decisions, this research investigates the relationship between sustainable practices and consumer behaviour. Methodology: The study uses a positivist research philosophy with a deductive approach. A survey strategy is used, and quantitative research methods are employed. A sample of 50 subjects was selected randomly, and a survey was conducted online. The population is drawn from the UK automotive sector. The questionnaires are designed using Google Forms, and the link is shared using social media. Findings: The research confirms a positive relationship between sustainable practices and consumer behaviour, indicating that customers are choosing more and more goods and services consistent with their sustainability beliefs. The results show a high positive correlation between sustainable practices and customer choice, suggesting that sustainable practices influence consumer choices. Study contributions and implications: By highlighting the importance of sustainable practices, this study adds to the expanding body of information on sustainability in the context of consumer behaviour. Moreover, the research offers a strong foundation for companies and decision-makers to create plans that suit customer tastes and enhance the sustainability of goods and services. Businesses hoping to prosper in a conscientious market must comprehend customers' behaviour and motives as they seek environmentally friendly solutions. In addition to illuminating the beneficial relationship between sustainable practices and customer behaviour, this study emphasises how urgent it is for companies and decision-makers to prioritise sustainability in their plans and choices.

Identification of common mechanisms and biomarkers of atrial fibrillation and heart failure based on machine learning.

Atrial fibrillation (AF) is the most common arrhythmia. Heart failure (HF) is a disease caused by heart dysfunction. The prevalence of AF and HF were progressively increasing over time. The co-existence of AF and HF presents a significant therapeutic challenge. In order to provide new ideas for the diagnosis of AF and HF, it is necessary to carry out biomarker related studies. The training set and validation set data of AF and HF patient samples were downloaded from the GEO database, 'limma' was used to compare the differences in gene expression levels between the disease group and the normal group to screen for differentially expressed genes (DEGs). Weighted correlation network analysis (WGCNA) identified the modules with the highest positive correlation with AF and HF. Functional enrichment and PPI network construction of key genes were carried out. Biomarkers were screened by machine learning. The infiltration of immune cells in AF and HF groups was evaluated by R-packet 'CIBERSORT'. The miRNA network was constructed and potential therapeutic agents for biomarker genes were predicted through the drugbank database. Through WGCNA analysis, it was found that the modules most positively correlated with AF and HF were MEturquoise (r=0.21, P value=0.09) and MEbrown (r=0.62, P value=8e-12), respectively. We screened 25 genes that were highly correlated with both AF and HF. Lasso regression analysis results showed 7 and 20 core genes in AF and HF groups, respectively. The top 20 important genes in AF and HF groups were obtained as core genes by RF model analysis. Four biomarkers were obtained after the intersection of core genes in four groups, namely, GLUL, NCF2, S100A12, and SRGN. The diagnostic efficacy of four genes in AF validation sets was good (AUC: GLUL 0.76, NCF2 0.64, S100A12 0.68, and SRGN 0.76), as well as in the HF validation set (AUC: GLUL 0.76, NCF2 0.84, S100A12 0.92, and SRGN 0.68). The highest correlation with neutrophils was observed for GLUL, NCF2, and S100A12, while SRGN exhibited the strongest correlation with T cells CD4 memory resting in the AF group. GLUL, NCF2, S100A12, and SRGN were most associated with neutrophils in the HF group. A total of 101 miRNAs were predicted by four genes, and GLUL, NCF2, and S100A12 predicted a total of 10 potential therapeutic agents. We identified four biological markers that are highly correlated with AF and HF, namely, GLUL, NCF2, S100A12, and SRGN. Our findings provide theoretical basis for the clinical diagnosis and treatment of AF and HF.

Divergence Assessment of Advanced Bread Wheat Lines under Contrasting Heat Stress Regimes Utilizing Stress Tolerance Indices

Heat stress during the post-anthesis phase significantly impacts wheat cultivation. To evaluate the tolerance of advanced wheat lines to heat stress, stress tolerance indices were used under both normal and post-anthesis heat stress conditions. The results showed a decrease in the average yield of advanced lines under both conditions, indicating the negative impact of heat stress on wheat cultivation. The analysis using PCs, biplot, and ranked clusters revealed that line V-21448 had below-average values for RHSI and %YDR, while V-21243 had values close to the average and all other lines had above-average values. Additionally, under normal conditions, V-19532 had the highest values for RHSI and HYT 100-47 had the lowest values for %YDR. In heat stress conditions, HYT 100-47 had the lowest values for both indices. HYT 100-74 and HYT 100-76 had the highest average values for MNP and YDI and were highly stable in the heat environment. Under normal settings, YDI, RHSI, and % YDR showed a positive correlation, while under heat stress conditions, the same traits showed a negative correlation. MNP had a high positive correlation with Yp and Ys, while YDSI had a negative correlation with Yp but a positive correlation with Ys. These results suggest that these traits are useful for identifying advanced lines with increased yield under both conditions.

Assessing Musculoskeletal Disorder Risks in an Automobile Part Manufacturing Factory: A Comparison Study of Biomechanical and Ergonomic Tools

Background: Various tools and methods are available to assess the risk of musculoskeletal injuries in occupational settings, each considering different assessment criteria. While these methods have been previously studied, further comparative investigations are still needed. Objectives: This study aimed to assess the risk of musculoskeletal disorders (MSDs) in workers performing various tasks using different ergonomic and biomechanical risk assessment tools and to compare the outcomes of these tools. Methods: This analytical and cross-sectional study was conducted in a sector of the SAIPA Automobile Part Manufacturing Factory in Iran. A total of 33 workers engaged in lifting, grinding, pushing, and lowering activities participated. Lifting activities involved handling parts weighing 36, 7.9, and 3.4 kg at three workstations. In total, six tasks were examined, and workers' discomfort levels were evaluated using the Cornell Musculoskeletal Discomfort Questionnaires (CMDQ). Fourteen biomechanical and ergonomic risk assessment tools were utilized and compared. Kendall's tau-b correlation coefficient and Cohen's kappa agreement coefficient were applied to determine relationships between different tools and to match the measurement of risk levels, respectively. Additionally, the mean and standard deviation of the data were calculated. Results: There was a high positive correlation between the outcomes of three biomechanical tools [3D static strength prediction programTM (3DSSPP), hand-calculation back compressive force (HCBCF), and JACK], with 3DSSPP and HCBCF being interchangeable for estimating lumbar spine loads. Ergonomic assessment tools showed a suitable correlation in assessing load-carrying tasks. Manual handling assessment charts (MAC) had perfect agreement with National Institute for Occupational Safety and Health (NIOSH), and SNOOK with Washington Industrial Safety and Health Act (WISHA). Among body posture evaluation methods, rapid upper limb assessment (RULA) and rapid entire body assessment (REBA) had the highest correlation. Lifting fatigue failure tool (LiFFT) correlated well with manual handling methods, and survival chance correlated better with body posture evaluation methods. Lowering activities were identified as the most hazardous. Conclusions: Ease of use and accuracy are key considerations when selecting biomechanical risk assessment tools. Experienced assessors can effectively utilize JACK, 3DSSPP, and HCBCF. The MAC and NIOSH, as well as RULA and REBA tools, are interchangeable. Selecting appropriate tools requires consideration of their limitations and advantages.

The effect of music played to new birth mothers on postpartum blues: A randomized controlled trial

BackgroundPostpartum blues/postpartum maternal blues is a psychological disorder experienced by mothers with symptoms of postpartum sadness, easy crying, easy anxiety, sensitivity, indecisiveness. The study aimed to examine the effect of music played on newly delivered mothers on postpartum blues. MethodsA prospective, two-arm, randomized controlled study was conducted on n = 82 (41 = control, 41 = music group) mothers who gave birth at term in Trakya University Health Research and Application Center Maternity Service between May and December 2023. The research data were collected through the Personal Information Form, Stein Blues Scale (SBS), and Edinburgh Postpartum Depression Scale (EPDS). The scales used in the study were evaluated four times: postoperative 0–3 h, 12th, 24th, and 36th hours. ResultsThe postoperative 0–3 h SBS test median of the new mothers in the music group was 19.00, and the 36th hours test median was 2.00, while the postoperative 0–3 h SBS test median of the control group was 21.00, and the 36th hour test median was 13.00. The postoperative 0–3 h EPDS test median of the new mothers in the music group was 22.00, and the 36th hours test median was 0.00, while the postoperative 0–3 h EPDS test median of the control group was 26.00, and the 36th hours test median was 10.00. A significant difference was found in the 12th, 24th, and 36th hours (p < .001). A statistically significant high positive correlation was found between EPDS and SBS in the 12th, 24th, and 36th hours (p < .001). ConclusionsIn the study, it was found that music played to newly delivered mothers reduced postpartum blues and depression levels. RegistrationThe submission date for a clinical trial protocol is prior to completing participant recruitment and for a systematic review, prior to completing full paper screening. NCT06252155

The Quest for Reliable Drought Stress Screening in Tetraploid Wheat (Triticum turgidum spp.) Seedlings: Why MDA Quantification after Treatment with 10% PEG-6000 Falls Short.

Drought stress poses significant productivity challenges to wheat. Several studies suggest that lower malondialdehyde (MDA) content may be a promising trait to identify drought-tolerant wheat genotypes. However, the optimal polyethylene glycol (PEG-6000) concentration for screening seedlings for drought tolerance based on MDA quantification is not clear. The aim of this study was to verify whether a 10% (w/v) PEG-6000 concentration-induced water stress was reliable for discriminating between twenty-two drought-susceptible and drought-tolerant tetraploid wheat (Triticum turgidum spp. durum, turanicum, and carthlicum) accessions based on MDA quantification. To do so, its correlation with morpho-physiological traits, notoriously related to seedling drought tolerance, i.e., Seedling Vigour Index and Seedling Water Content, was evaluated. Results showed that MDA content was not a reliable biomarker for drought tolerance, as it did not correlate significantly with the aforementioned morpho-physiological traits, which showed, on the contrary, high positive correlation with each other. Combining our study with the cited literature, it clearly emerges that different wheat genotypes have different "water stress thresholds", highlighting that using a 10% PEG-6000 concentration for screening wheat seedlings for drought tolerance based on MDA quantification is not reliable. Given the conflicting results in the literature, this study provides important insights for selecting appropriate methods for evaluating wheat seedling drought tolerance.