Multiple Analysis Of Variance Research Articles

Incidence of fall-from-height injuries and predictive factors for severity

Abstract Context The injuries caused by falls-from-height (FFH) are a significant public health concern. FFH is one of the most common causes of polytrauma. The injuries persist to be significant adverse events and a challenge regarding injury severity assessment to identify patients at high risk upon admission. Understanding the incidence and the factors that predict injury severity can help in developing effective intervention strategies. Artificial intelligence (AI) predictive models are emerging to assist in clinical assessment with challenges. Objectives This retrospective study investigated the incidence of FFH injuries utilizing conventional statistics and a predictive AI model to understand the fall-related injury profile and predictive factors. Methods A total of 124 patients who sustained injuries from FFHs were recruited for this retrospective study. These patients fell from a height of 15–30 feet and were admitted into a level II trauma center at the border of US-Mexica region. A chart review was performed to collect demographic information and other factors including Injury Severity Score (ISS), Glasgow Coma Scale (GCS), anatomic injury location, fall type (domestic falls vs. border wall falls), and comorbidities. Multiple variable statistical analyses were analyzed to determine the correlation between variables and injury severity. A machine learning (ML) method, the multilayer perceptron neuron network (MPNN), was utilized to determine the importance of predictive factors leading to in-hospital mortality. The chi-square test or Fisher’s exact test and Spearman correlate analysis were utilized for statistical analysis for categorical variables. A p value smaller than 0.05 was considered to be statistically different. Results Sixty-four (64/124, 51.6 %) patients sustained injuries from FFHs from a border wall or fence, whereas 60 (48.4 %) sustained injuries from FFHs at a domestic region including falls from roofs or scaffolds. Patients suffering from domestic falls had a higher ISS than border fence falls. The height of the falls was not significantly associated with injury severity, but rather the anatomic locations of injuries were associated with severity. Compared with border falls, domestic falls had more injuries to the head and chest and longer intensive care unit (ICU) stay. The MPNN showed that the factors leading to in-hospital mortality were chest injury followed by head injury and low GCS on admission. Conclusions Domestic vs. border FFHs yielded different injury patterns and injury severity. Patients of border falls sustained a lower ISS and more lower-extremity injuries, while domestic falls caused more head or chest injuries and low GCS on admission. MPNN analysis demonstrated that chest and head injuries with low GCS indicated a high risk of mortality from an FFH.

A Multi‐Center Study of Ossiculoplasty Hearing Outcomes and a Grading Scale of Ear Environment Risk

ObjectiveTo determine which ear environment risk factors impact ossiculoplasty hearing outcomes and to generate a statistically‐valid grading system for ossiculoplasty outcome reporting.Study TypeRetrospective case series.MethodsA multi‐institutional database was generated from cases performed between 2011 and 2019. Preoperative and postoperative hearing thresholds were recorded alongside potential ear environment risk factors. Multiple variable linear regression statistical analyses of risk factors were applied to determine independent association with postoperative pure tone average air‐bone gap (PTA‐ABG). Significant factors were used to generate a statistically‐weighted grading scale of Ear Environment Risk (EER).Results1679 cases had a mean follow‐up time of 33.6 months (SD 36.3) and a mean postoperative PTA‐ABG of 21.2 (SD 12.8). Multiple revision status (p < 0.001), presence of canal wall down mastoidectomy cavity (p = 0.020), absent malleus (p < 0.001), absent stapes superstructure (p = 0.016), frequent otorrhea (p = 0.008), pediatric age (p < 0.001), and blunted/lateralized tympanic membrane (p = 0.003) were independently correlated with PTA‐ABG. These factors were incorporated into an EER Scoring System with four distinct risk groups wherein each risk group was significantly correlated with PTA‐ABG, and this grading system was better correlated with PTA‐ABG (Kendall's τ = 0.193) than other existing published grading scales.ConclusionGrading environment risk according to a novel EER scoring system generates meaningful risk groupings that correlate with ossiculoplasty postoperative PTA‐ABG, and this holds potential to frame reporting of hearing outcomes for future ossiculoplasty research.Level of Evidence3 Laryngoscope, 2024

Which psychological needs profile exhibits higher engagement and favorable attitudes toward interprofessional education? A cluster analysis among health and social care Hong Kong students

BackgroundThis study aimed to investigate which basic psychological needs profile, based on different levels of autonomy, competence, and relatedness, could exhibit higher student engagement and favorable attitudes toward interprofessional education (IPE).MethodsA total of 341 undergraduate and postgraduate health and social care students enrolled in an IPE simulation participated in this study. Data were analyzed using a person-centered approach using a two-step cluster analysis, multiple analysis of variance, and bootstrapped independent t-tests. The participants completed the self-report scales such as the basic psychological needs in general questionnaire, interprofessional attitudes scale, and engagement versus disaffection with learning scale.ResultsTwo basic psychological needs profiles emerged from the cluster analysis: a high basic psychological needs profile (i.e., high autonomy, moderately high competence, and very high relatedness) and a low basic psychological needs profile (i.e., low autonomy, moderately low competence, and very low relatedness). Students with high basic psychological needs profiles (n = 140; 41%) had more positive attitudes about IPE and were more behaviorally and emotionally engaged in participating in IPE tasks than students with low basic psychological needs profiles (n = 201; 59%).ConclusionsFindings suggest that health and social care students’ engagement and attitudes toward interprofessional education differed based on their basic psychological needs profiles. Health professions educators can leverage students’ basic psychological needs in designing interventions and simulation activities to promote students’ engagement and collaborative outcomes in IPE. Enhancing students’ basic psychological needs could be crucial in fostering greater behavioral and emotional engagement and positive attitudes in participating in IPE.

Serum Concentration of Antidepressant Drugs in Geriatric Day Care Patients With Renal Insufficiency and Multimorbidity.

Geriatric depression is challenging to treat owing to age-related changes in pharmacokinetics and comorbidities. Although renal insufficiency and multimorbidity are typical geriatric complications that cannot be completely separated from each other, no study has examined the influence of these factors on the serum concentrations of antidepressants. For the first time, we evaluated the effects of these factors in combination on the dose-corrected serum concentration (C/D) of antidepressants in geriatric patients. In this retrospective study, data from 123 geriatric patients in a gerontopsychiatric day care unit at the University Hospital of Würzburg were analyzed. Multiple linear regression analysis and analysis of variance with confounders were used to examine the associations between glomerular filtration rate (GFR) and stages of renal impairment and the C/D of venlafaxine, mirtazapine, sertraline, and escitalopram corrected for multimorbidity, sex, lithium intake, and the number of triple whammy drugs. GFR (P < 0.001, ß = -0.070) was associated with the C/D of the active moiety of venlafaxine (N = 32). GFR, multimorbidity, and sex were not associated with the C/D of mirtazapine, escitalopram, or sertraline. As the influence of sex may be less pronounced than that of decreasing GFR in terms of the C/D of the active moiety of venlafaxine in geriatric patients, we recommend considering the GFR for dose adjustment rather than sex. In conclusion, even in patients with mild renal impairment, serum venlafaxine concentration should be monitored to prevent overdosing. Mirtazapine, sertraline, and escitalopram may be well-suited antidepressants for geriatric patients with renal function impairment stage 2-3 as well as multimorbidity.

Evaluating the effectiveness of low-level laser therapy in patients undergoing lower third molar extraction: A double-blinded randomized controlled trial.

The use of low-level laser is a therapeutic resource that has been widely used in medicine in general, which has properties capable of modulating inflammatory effects such as pain, edema, and trismus resulting from oral surgeries for the extraction of impacted third molars. This study aimed to evaluate the effect of laser therapy at two different wave frequencies (660nm and 808nm) in patients undergoing impacted 3rd third lower molar extraction. For this, 30 patients were selected and randomly distributed into three groups with 10 individuals each (Control Group, 660nm Group, and 808nm Group). Each participant, according to their experimental group, received irradiation before the start of each surgery and immediately after the surgical procedure. The data regarding edema, pain intensity, and trismus collected before the surgeries, immediately after, and after seven days were spreadsheeted and analyzed to determine the mean and standard deviation. After the Shapiro-Wilk normality test, differences between the experimental groups were determined using Multiple Analyses of Variance, considering a significance level of 5% (p<0.05). The results showed no statistically significant difference between the experimental groups in the analyzed items. Despite this, both groups irradiated with 660nm and 808nm frequencies experienced a reduction in the perception of postoperative pain, thus suggesting the benefit of using low-power laser therapy as an adjunct in the surgical treatment of impacted lower third molars. Despite the results showing no differences between the groups, using LLLT resulted in lower pain perception in the irradiated participants compared to those in the control group. This fact supports the use of LLLT as an adjuvant therapy in patients undergoing oral surgery procedures to remove impacted third molars.

Does physical exercise enhance physical appearance? An empirical study based on CFPS

BackgroundIn contemporary society, physical appearance significantly influences individuals' social interactions and career achievements. Although some studies suggest that physical exercise may positively impact physical appearance, most rely on subjective self-assessment data. In contrast, third-party evaluations are widely regarded as more objective and reliable. Thus, this study aims to explore the effects of physical exercise on physical appearance, as assessed by third-party evaluations, and to examine its heterogeneity.MethodsThis study utilized third-party physical appearance evaluation data from 25,460 respondents in the 2018 China Family Panel Studies (CFPS) and assessed the impact of physical exercise on physical appearance using multiple linear regression and instrumental variable analysis. Furthermore, the heterogeneity in the effects of physical exercise was investigated using subgroup regression and quantile regression analyses.ResultsThe findings indicate that physical exercise substantially enhances physical appearance, with its effects varying significantly across different populations. Specifically, women, urban residents, and those with lower appearance scores experience more pronounced enhancement from physical exercise compared to men, rural residents, and those with higher scores. Additionally, the effect of age on the impact of physical exercise on appearance exhibits an inverted U-shaped relationship. Middle-aged adults (40–59 years) experience the most significant improvements, while benefits are lower for adolescents (10–20 years), young adults (20–39 years), and older adults (60–80 years).ConclusionsThis study systematically reveals the positive impact of physical exercise on physical appearance, demonstrating that regular exercise can significantly enhance individual appearance scores. This finding contributes to a broader understanding of the multifaceted benefits of physical exercise.

Differential Gender Effect of Technical and Vocational Education Students’ Human Capital on Long-term Economic Growth in Nigeria

From a gender view point, this study examines the relationship between the human capital of technical and vocational education students and the fundamental principles of long-term economic growth in Nigeria. The study used a correlational survey research approach. The study was directed by four research questions, and four null hypotheses were developed. The population for the study consisted of all 400 level undergraduate students (N = 286) of technical and vocational education in Federal and State-owned Universities in South-South geopolitical zone of Nigeria. The population was of a manageable size, thus there was no sampling. Data was gathered via a questionnaire. Three research experts- two from Ambrose Alli University in Ekpoma, the Department of Vocational and Technical Education, and one from the Measurement and Evaluation University of Benin in Benin City, Edo State validated the instrument. The instrument's dependability was assessed using Cronbach alpha reliability, and a reliability coefficient of 0.85 was found. In order to address these inquiries, bivariate correlation was utilized. Multiple regression analysis and analysis of variance were used to examine the hypotheses. The results showed that, fundamental values and both general and particular human capital were positively correlated long-term growth. Students in technical and vocational education, whether male and female, encounter nearly the same kinds of human capital overall. Keywords: Technical and vocational education, Differential gender effect, Human capital, Long-term economic growth.

Evidential Analysis: An Alternative to Hypothesis Testing in Normal Linear Models.

Statistical hypothesis testing, as formalized by 20th century statisticians and taught in college statistics courses, has been a cornerstone of 100 years of scientific progress. Nevertheless, the methodology is increasingly questioned in many scientific disciplines. We demonstrate in this paper how many of the worrisome aspects of statistical hypothesis testing can be ameliorated with concepts and methods from evidential analysis. The model family we treat is the familiar normal linear model with fixed effects, embracing multiple regression and analysis of variance, a warhorse of everyday science in labs and field stations. Questions about study design, the applicability of the null hypothesis, the effect size, error probabilities, evidence strength, and model misspecification become more naturally housed in an evidential setting. We provide a completely worked example featuring a two-way analysis of variance.

Research on Multi-Parameter Error Model of Backcalculated Modulus Using Abaqus Finite Element Batch Modeling Based on Python Language

The error in modulus backcalculation is a crucial component in validating the rationality and reliability of results for engineering applications. The objective of this study is to identify the theoretical limitations associated with backcalculated modulus errors under typical parameter uncertainties and to determine the primary factors contributing to these errors. Firstly, using the actual measurements or data from the Long-Term Pavement Performance (LTPP) project, the statistical distributions of errors for typical parameters in the modulus backcalculation model were determined. Subsequently, a factor level table for orthogonal experimental design was developed, leading to the construction of 81 orthogonal design experimental schemes and their corresponding theoretical pavement structure models based on the actual error distributions. The deflection responses of 81 theoretical pavement structure models were then computed using an ABAQUS finite element batch analysis method devised in Python. Furthermore, a multi-parameter error model for modulus was established using multiple linear regression and variance analysis. Finally, the theoretical limitations of modulus errors under actual errors were analyzed. The results show that the errors of thickness, load amplitude and load frequency follow a normal distribution, while the distribution of backcalculated modulus errors follows an approximate mixed Gaussian distribution. When the errors of multiple parameters are combined randomly, the modulus errors range from −100% to 595%, and the probability of the modulus errors being less than 15% is highest in the asphalt surface layer, followed by the subgrade, and then the base and subbase layers. Within the same error range, the modulus error is random. However, with different error ranges, the overall level of modulus error increases in proportion to the size of those ranges. Compared to factors such as thickness, load amplitude, and load frequency, the errors in deflections have a highly contribution rate on the modulus errors exceeding 99%.

Optimization of Polysaccharide Extraction from Polygonatum cyrtonema Hua by Freeze–Thaw Method Using Response Surface Methodology

Polygonatum cyrtonema polysaccharides have a variety of pharmacological effects. The commonly used extraction methods include traditional hot water extraction, alkaline extraction, enzymatic hydrolysis method, ultrasonic-assisted extraction, etc., but there are problems such as low yield, high temperature, high cost, strict extraction conditions, and insufficient environmental protection. In this study, crude polysaccharide extraction from the Polygonatum cyrtonema Hua was performed using the freeze–thaw method. Response surface methodology (RSM), based on a three-level, three-variable Box–Behnken design (BBD), was employed to obtain the best possible combination of water-to-raw material ratio (A: 30–50), freezing time (B: 2–10 h), and thawing temperature (C: 40–60 °C) for maximum polysaccharide extraction. Using the multiple regression analysis and analysis of variance (ANOVA), the experimental data were fitted to a second-order polynomial equation and were used to generate the mathematical model of optimization experiments. The optimum extraction conditions were as follows: a water-to-raw material ratio of 36.95:1, a freezing time of 4.8 h, and a thawing temperature of 55.99 °C. Under the optimal extraction conditions, the extraction rate of Polygonatum cyrtonema Hua polysaccharide (PCP) was 65.76 ± 0.32%, which is well in close agreement with the value predicted by the model, 65.92%. In addition, PCP has significant antioxidant activity. This result shows that the freeze–thaw method can improve the extraction efficiency, maintain the structural integrity of polysaccharides, simplify the extraction process, promote the dispersion of polysaccharides, and is suitable for large-scale industrial production.

Does Body Postural Configuration Affect Upper Limb Performance During Point-to-Point Hand Movements?

Adopting a postural configuration may be regarded as preparation for the performance of an upcoming movement. However, it is unclear how different postural configurations affect motor performance. The aim of the current study was to examine how body posture – sitting versus standing – influences fast and accurate planar point-to-point hand movements. Twenty-three healthy adults performed a “Go/No-go” paradigm while doing repetitive point-to-point movements. Arousal levels, which may change due to the change in posture, were independently manipulated by using a sham threat of electrical stimulation. Upper limb kinematics, center of pressure displacement, and galvanic skin responses were recorded in four test conditions: sitting and standing with and without arousal manipulation. Descriptive performance measures were computed and analyzed using multiple analyses of variance. A difference in arousal level was observed in the two conditions with the arousal manipulation, but no difference in arousal level was found between sitting and standing. Center of pressure displacement onset was found to be earlier in the two standing conditions compared to those in sitting. No difference was found in upper limb performance between the two postures, nor due to the arousal manipulation. We concluded that under the tested conditions, body posture does not appear to affect upper limb performance.

Using social media small-group communication to promote the marketing skills of art entrepreneurs

This study examined the impact of social media-supported small-group communication on the marketing skills of art entrepreneurs. The design that was used in this study was quasi-experimental. A total of 271 art entrepreneurs were sampled for the study and grouped into three social media ( n = 90), face-to-face ( n = 90) and control group ( n = 91). A structured questionnaire was used for the collection of data for the study, while data were analysed using multiple analyses of variance. The study showed that small group communication was effective in improving the marketing skills of art entrepreneurs in the areas of social media marketing, content management, data analysis, mobile advertising, design, video marketing, project management, creativity, interpersonal skills, leadership, time management, problem-solving, critical thinking and communication skills. The study also found that small-group communication on social media can be as effective as face-to-face small-group communication. Improving marketing skills also improves business performance in areas such as sales, return on investment, and net profit. Finally, art entrepreneurs in the social media-supported group had higher scores in satisfaction, convenience and quality of communication than their counterparts in face-to-face communication. This study has shown that social media-supported small-group communication is cost-effective in promoting the acquisition of marketing skills among art entrepreneurs.

Optimizing EFL learning: exploring the role of learner background factors and the nuances of their effects on intrinsic and extrinsic motivation among university students in a mixed-methods study

IntroductionMotivation is a driving force behind man’s behavior which has led to many psychological studies throughout the world. Moreover, it is the fuel for successful learning. While intrinsic motives provide the internal rewards, extrinsic motivation supplies the required external rewards to keep the engine of learning running. Knowing the factors which impact intrinsic/extrinsic motivation helps educators target their efforts at a higher level and make more informed decisions.MethodThis study intends to examine how intrinsic vs. extrinsic motivation may be influenced by demographics including learners’ background factors of major, age, and occupation and to determine the relationships that may exist between intrinsic and extrinsic motivation. To this end, an explanatory sequential mixed-methods research was conducted at one of the public universities in Shiraz on the majors of Elementary Education, Educational Affairs, Social Studies and Theology, and the Arabic language which were selected through cluster sampling. These students were having their English courses at the university. Based on Krejcie and Morgan’s formula for sample size, a questionnaire was administered to 100 participants to collect quantitative data. Moreover, semi-structured interview sessions were conducted with one fourth of the participants.ResultsUsing Multiple Analysis of Variance (MANOVA) and Pearson correlation, we found that learners’ background factors of age, field of study and professional status did not affect intrinsic nor extrinsic motivation. However, significant and positive relationships were found between intrinsic motivation and total motivation index, and between extrinsic motivation and total motivation index. Qualitative data obtained from the interviews were analyzed using a thematic analysis. The results of the interviews showed some new illuminating trends as revealed from the participants’ responses and it was found that most interviewees followed intrinsic motives and considered motivation as a factor of great significance.ConclusionIn the English as a Foreign Language (EFL) context in which our study was conducted, instructors can follow more similar classroom motivational techniques and strategies since neither type of motivation was influenced by the variables of different major, age and occupation. Though many studies have shown that EFL learners are more extrinsically motivated in comparison with ESL ones, our study revealed that participants were more intrinsically motivated. Thus, this study may be replicated in other educational contexts such as an ESL context. The study can also be repeated in some universities in which other educational systems such as coed education is used to see the possible similarities and differences. Motivation is the important stimulant to impel the learners to achieve their learning goals; thus, it should receive sufficient attention in various educational settings.

Effect of pyrolysis parameters on the biochar reactivity in the N-absorption reaction of chemical looping ammonia generation

Biochar from slow pyrolysis was applied to Chemical Looping Ammonia Generation (CLAG) to avoid the preparation of ammonia from fossil fuels and relatively expensive H2. The effects of pyrolysis atmosphere, temperature, heating rate, and residence time on the biochar reactivity in the N-adsorption reaction were investigated. The relationship between specific surface area, average pore diameter, micropore percentage, and disorder degree of biochar on reactivity was evaluated by simple and multiple linear regression and Analysis of Variance (ANOVA). The results showed that the biochar prepared in a CO2 atmosphere with a pyrolysis temperature of 700 °C, a heating rate of 10 °C/min, and a resident time of 30 min had the highest conversion rate of 57.79 % in the N-absorption reaction. When the pyrolysis temperature was increased from 600 °C to 700 °C, the biochar conversion in the N-adsorption reaction was significantly increased due to the Boudouard reaction during biomass pyrolysis. The linear regression and ANOVA results show that the micropore percentage and disorder degree of biochar significantly positively affected the reactivity, guiding feedstock selection and optimization of the preparation method of the carbon source used for CLAG.

Genotypic variations in postfertility traits and yield components of mung bean (Vigna radiata (L.) R. Wilczek) germplasms in Chitwan, Nepal

Assessment of economic traits of germplasms, which are associated with genetic variation, is vital for mung improvement. Therefore, by wielding the randomized complete block design with 3 replications, a probe analysis using multiple trait stability indexing and analysis of variance with Duncan's test at p ≤ 0.05 is performed to compare the means of yield attributes. Moreover, simultaneous application of GA3 and NAA (50 mg/L each) was carried out at 30 DAS and at mid-flowering. Pondering not only factorial analysis but also correlation and path studies revealed that flower shedding before and 12 h after spraying is nearly detrimental to yield. In addition, yield/plant was positively (p < 0.001, r = 0.67–0.96) correlated with the harvesting index and test weight. 'Pratigya', demonstrating heightened sensitivity to environmental cues—unveils increased sensitivity—while 'VC3960A-88′ flourished with hormone-boosted pod formation. 'VC6368(46-40-3)' packed 11 pods/cluster, and 'CN95' thrived, excelling in abundant grains as well as clusters. Notably, 'VC6370-A′ topped yielder, whereas CN95 augmented an efficient harvest index of 0.48. Moreover, path analysis revealed that all postfertility traits are inherently associated with yield. By employing 17 % selection intensity, the MTSI unequivocally ascertained that not only 'VC6370A' but also 'CN95' are the ideal stable and prime performing genotypes for yield(3.04–2.8 tons/ha) as well as interactive traits, a marker for simultaneous selection, as well as improvement. The MTSI view of strengths and weaknesses harbingers that breeders need to focus on increasing the number of genotypes with the desired phenotypes—lower flower abscission, greater grain dimensions and pod setting, harvesting indices, and yields/ha.

Bioinformatics analysis reveals SOD1 is a prognostic factor in lung adenocarcinoma.

Lung cancer is a major cause of cancer-related deaths worldwide. Unfortunately, non-small cell lung cancer (NSCLC) often lacks clear clinical symptoms and molecular markers for early diagnosis, which can hinder the initiation of timely treatments. In this study, we conducted an extensive bioinformatics analysis of copper-zinc superoxide dismutase (SOD1), a molecule linked to lung adenocarcinoma (LUAD) to enhance early detection and treatment approaches for this condition. A bioinformatics analysis was conducted using a dataset from The Cancer Genome Atlas (TCGA) database. Several analytical methods, such as a differential expression analysis, a Kaplan-Meier survival analysis, a clinicopathological analysis, an enrichment analysis, protein-protein interaction (PPI) network construction using the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database, and an immunoreactivity analysis of SOD1 expression in LUAD using TIMER were employed. We further validated the expression of SOD1 in LUAD through in vitro experiments using quantitative polymerase chain reaction (qPCR) and Western blot. Our findings indicate that LUAD tissues exhibited significantly higher expression levels of SOD1 than healthy tissues. The univariate Cox analysis showed that the elevated level was linked to unfavorable overall survival (OS) rates. Further, the Cox regression analysis of multiple variables suggested that elevated SOD1 expression levels acted as an autonomous prognosticator for unfavorable OS. We also conducted Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses, and a gene set enrichment analysis (GSEA) and observed differential pathway enrichment among patients with high SOD1 expression. In addition, a correlation between SOD1 and immune cell infiltration was found. The in vitro experiments confirmed that SOD1 expression was upregulated in LUAD. SOD1 could serve as a reliable prognostic indicator in individuals diagnosed with LUAD. Our findings may prove valuable in the development of therapeutic and prognostic markers for LUAD. The potential clinical utility of SOD1 in LUAD requires further investigation.

Up-regulation of MSMO1 was associated with poor survival in cervical cancer.

Methylsterol monooxygenase 1 (MSMO1) catalyzes C4-methylsterols demethylation in cholesterol biosynthesis pathway. MSMO1 is increased and up-regulation of MSMO1 is correlated with progression of some tumor. But the correlation of MSMO1 to cervical cancer is unknown. The current study aimed to explore the expression pattern of MSMO1 in cervical cancer and its correlation to clinical characteristics. In this study, 306 cervical cancer cases and 13 non-tumor cases were included. We compared MSMO1 expression level in non-tumor cervical tissues and cervical cancer samples using the Wilcoxon rank sum test. Univariate regression was used to investigate the correlation between MSMO1 expression as well as other clinical characteristics and prognosis. Clinical characteristics associated with prognosis in univariate analysis were used as adjustments for multivariate analysis to further validate the relationship between MSMO1 expression and cervical cancer prognosis. Patients' survival in different subgroups was compared by Kaplan-Meier (KM) method. The potential protein interaction was analyzed. T cell infiltration level in MSMO1 high and low group patients was compared. MSMO1 expression level was up-regulated in cervical cancer (P<0.001). Patients who had stage III-IV diseases (P=0.04) and did not achieve complete response after primary treatment had higher MSMO1 expression (P<0.001). High MSMO1 expression patients showed a lower overall survival (OS) (P=0.004), disease-specific survival (DSS) (P=0.004) and progression-free survival (PFS) (P=0.002). High MSMO1 expression was a risk factor to OS (P=0.01), DSS (P=0.009) and PFS (P=0.009). Multiple variate analysis showed that high MSMO1 expression was an independent risk factor to OS [hazard ratio (HR) =1.902, 95% confidence interval (CI): 1.156-3.129, P=0.01], DSS (HR =2.172, 95% CI: 1.210-3.897, P=0.009) and PFS (HR =1.975, 95% CI: 1.189-3.282, P=0.009) in cervical squamous cell carcinoma (CESC). The prognostic value of high MSMO1 expression was further examined in other databases, including KM-plotter, Gene Expression Profiling Interactive Analysis (GEPIA) and Gene Expression Omnibus (GEO) database. The current research showed that MSMO1 was increased and was associated with poor prognosis in CESC.

The fuzzy system ensembles entomological, epidemiological, demographic and environmental data to unravel the dengue transmission risk in an endemic city

BackgroundThe effectiveness of dengue control interventions depends on an effective integrated surveillance system that involves analysis of multiple variables associated with the natural history and transmission dynamics of this arbovirus. Entomological indicators associated with other biotic and abiotic parameters can assertively characterize the spatiotemporal trends related to dengue transmission risk. However, the unpredictability of the non-linear nature of the data, as well as the uncertainty and subjectivity inherent in biological data are often neglected in conventional models.MethodsAs an alternative for analyzing dengue-related data, we devised a fuzzy-logic approach to test ensembles of these indicators across categories, which align with the concept of degrees of truth to characterize the success of dengue transmission by Aedes aegypti mosquitoes in an endemic city in Brazil. We used locally gathered entomological, demographic, environmental and epidemiological data as input sources using freely available data on digital platforms. The outcome variable, risk of transmission, was aggregated into three categories: low, medium, and high. Spatial data was georeferenced and the defuzzified values were interpolated to create a map, translating our findings to local public health managers and decision-makers to direct further vector control interventions.ResultsThe classification of low, medium, and high transmission risk areas followed a seasonal trend expected for dengue occurrence in the region. The fuzzy approach captured the 2020 outbreak, when only 14.06% of the areas were classified as low risk. The classification of transmission risk based on the fuzzy system revealed effective in predicting an increase in dengue transmission, since more than 75% of high-risk areas had an increase in dengue incidence within the following 15 days.ConclusionsOur study demonstrated the ability of fuzzy logic to characterize the city’s spatiotemporal heterogeneity in relation to areas at high risk of dengue transmission, suggesting it can be considered as part of an integrated surveillance system to support timely decision-making.

A Novel Prognostic Model of Hepatocellular Carcinoma per Two NAD+ Metabolic Synthesis-Associated Genes.

Hepatocellular carcinoma (HCC) is a formidable challenge to global human health, while recent years have witnessed the important role of NAD+ in tumorigenesis and progression. However, the expression pattern and prognostic value of NAD+ in HCC still remain elusive. Gene expression files and corresponding clinical pathological files associated with HCC were obtained from the Cancer Genome Atlas (TCGA) database, and genes associated with NAD+ were retrieved from the GSEA and differentially analyzed in tumor and normal tissues. A consensus clustering analysis was conducted by breaking down TCGA patients into four distinct groups, while Kaplan-Meier curves were generated to investigate the disparity in clinical pathology and endurance between clusters. A prognostic model based on NAD+-associated genes was established and assessed by combining LASSO-Cox regression, uni- and multi-variate Cox regression, and ROC curve analyses. Investigations were conducted to determine the expression of distinct mRNAs and proteins in both HCC and non-tumor tissues. A novel two-gene signature including poly (ADP-Ribose) polymerase 2 (PARP2) and sirtuin 6 (SIRT6) was obtained through LASSO-Cox regression and was identified to have favorable prognostic performance in HCC patients from TCGA. Analyses of both single and multiple variables showed that the prognostic model was a distinct prognostic factor in the endurance of liver cancer patients in both the training and trial groups. The nomogram also exhibited clinical significance in the prognosis of HCC patients. Immunohistochemistry, qRT-PCR, and Western blotting revealed that HCC samples exhibited higher PARP2 and SIRT6 expression levels than those of normal controls. This study identified a robust prognostic model comprising two NAD+-associated genes using bioinformatic methods, which is accurate in predicting the survival outcome of HCC patients. This model might benefit the early diagnosis of HCC and further facilitate the management of individualized medical service and clinical decision-making.

Number of Retrieved Lymph Nodes during Esophagectomy Affects the Outcome of Stage III Esophageal Cancer in Patients Having Had Pre-Operative Chemo-Radiation Therapy.

Background: Lymphadenectomy plays a crucial role in the surgical management of early- stage esophageal cancer. However, few studies have examined lymphadenectomy outcomes in advanced stages, particularly in patients who initially underwent concurrent chemoradiation therapy. This retrospective study investigates the effect of lymphadenectomy in patients diagnosed with AJCC 8th-edition clinical stage III esophageal squamous cell carcinoma who received concurrent preoperative chemoradiation. Methods: Data from 1994 to 2023 were retrieved from our retrospective database. All patients underwent a uniform evaluation and treatment protocol, including preoperative concurrent chemoradiation therapy comprising cisplatin and 5-fluorouracil, followed by esophagectomy. The analysis encompassed clinical T and N stages, tumor location, tumor grade, pathological T and N stages, pathological stage, and the extent of lymph node dissection. Overall survival, "Free-To-Recurrence", and disease-free survival were assessed via Kaplan-Meier survival curves and the Cox regression model for multivariate analysis. Results: The dataset was stratified into two groups according to extent of lymph node dissection, with one group having <15 dissected nodes and the other having ≥15 dissected nodes. The group with <15 nodes exhibited a shorter "Free-To-Recurrence", worse disease-free survival, and lower overall survival. In multiple-variate analysis (Cox regression model), the number of dissected lymph nodes emerged as a significant factor influencing overall survival and freedom from recurrence. Conclusions: The quantity of lymphadenectomy is a crucial determinant for patients with AJCC 8th-edition clinical stage III esophageal squamous cell carcinoma receiving preoperative concurrent chemoradiation.