Pearson Linear Correlation Analysis Research Articles

Correlations of the CNR1 Gene with Personality Traits in Women with Alcohol Use Disorder.

Alcohol use disorder (AUD) is a significant issue affecting women, with severe consequences for society, the economy, and most importantly, health. Both personality and alcohol use disorders are phenotypically very complex, and elucidating their shared heritability is a challenge for medical genetics. Therefore, our study investigated the correlations between the microsatellite polymorphism (AAT)n of the Cannabinoid Receptor 1 (CNR1) gene and personality traits in women with AUD. The study group included 187 female subjects. Of these, 93 were diagnosed with alcohol use disorder, and 94 were controls. Repeat length polymorphism of microsatellite regions (AAT)n in the CNR1 gene was identified with PCR. All participants were assessed with the Mini-International Neuropsychiatric Interview and completed the NEO Five-Factor and State-Trait Anxiety Inventories. In the group of AUD subjects, significantly fewer (AAT)n repeats were present when compared with controls (p = 0.0380). While comparing the alcohol use disorder subjects (AUD) and the controls, we observed significantly higher scores on the STAI trait (p < 0.00001) and state scales (p = 0.0001) and on the NEO Five-Factor Inventory Neuroticism (p < 0.00001) and Openness (p = 0.0237; insignificant after Bonferroni correction) scales. Significantly lower results were obtained on the NEO-FFI Extraversion (p = 0.00003), Agreeability (p < 0.00001) and Conscientiousness (p < 0.00001) scales by the AUD subjects when compared to controls. There was no statistically significant Pearson's linear correlation between the number of (AAT)n repeats in the CNR1 gene and the STAI and NEO Five-Factor Inventory scores in the group of AUD subjects. In contrast, Pearson's linear correlation analysis in controls showed a positive correlation between the number of the (AAT)n repeats and the STAI state scale (r = 0.184; p = 0.011; insignificant after Bonferroni correction) and a negative correlation with the NEO-FFI Openness scale (r = -0.241; p = 0.001). Interestingly, our study provided data on two separate complex issues, i.e., (1) the association of (AAT)n CNR1 repeats with the AUD in females; (2) the correlation of (AAT)n CNR1 repeats with anxiety as a state and Openness in non-alcohol dependent subjects. In conclusion, our study provided a plethora of valuable data for improving our understanding of alcohol use disorder and anxiety.

Blood parameters as a possible indicator of feed efficiency in Nellore bulls

The objective of this study was to investigate the relationships between energy, protein, enzymatic metabolism, and residual feed intake (RFI) in purebred Nellore bulls. A total of 120 Nellore bulls, individually housed, underwent performance trials while being fed a high-concentrate diet. The study utilized data from the 10 most efficient, least efficient, and moderately efficient animals. Blood samples were collected via venipuncture for a complete blood count, and serum was analyzed for albumin, total protein, urea, creatinine, glucose, cholesterol, gamma GT, AST, and alkaline phosphatase. The data were subjected to a completely randomized design with three treatments and 10 replicates, and treatment means were compared using the Tukey test. Pearson's linear correlation analysis was performed. The most efficient animals demonstrated a 27.62% reduction in feed intake compared to the least efficient ones. No significant differences were observed in the serum biochemistry between different RFI classes. Inefficient animals exhibited elevated mean corpuscular hemoglobin (MCH), a red blood cell index, which correlated with RFI, gain-to-feed ratio, and dry matter intake (r = 0.46, 0.42, and -0.42, respectively). Hemoglobin concentration showed correlations with RFI and gain-to-feed ratio (r = 0.36, -0.41, respectively). These findings suggest potential variations in oxygen-carrying capacity. Red blood cell parameters could serve as biomarkers for identifying inefficient animals.

Analysis of the Methylation Level of the DAT1 Dopamine Transporter Gene in Patients Addicted to Stimulants, Taking into Account an Analysis of Personality Traits.

Drug addiction is a chronic biochemical drug use disorder that affects the human brain and behavior and leads to the uncontrolled use of legal or illicit drugs. It has been shown that three factors are involved in the development of addiction: genetic factors, a diverse environment, and the effect of medication on gene expression. The comprehensive approach and holistic analysis of the problem are due to the multigenic and multifactorial nature of addiction. Dopamine, one of the major neurotransmitters in the brain, is believed to be the "culprit" that leads to a drug abuse-induced "high". That is why, in our research, we focused mainly on the genes related to dopaminergic reuptake. In the present study, we chose methylation of the DAT1 dopamine transporter gene based on molecular reasons related to the dopaminergic theory of addiction. This study included two groups: 226 stimulant-dependent and 290 non-stimulant-dependent subjects. The analysis consisted of a case-control comparison of people addicted to psychostimulants compared to a control group of healthy and non-addicted people. There were differences in the levels of statistical significance between the groups. Our research shows lower methylation of islands 1, 9, and 14 in addicted people and greater methylation of islands 32 and 33. The difference in individual CpG methylation islands of the gene under study provides valuable information about the DNA methylation process in patients addicted to psychostimulants. Pearson's linear correlation analysis in stimulant dependence showed a negative correlation between total methylation island levels and the NEO-FFI Neuroticism scale. In subjects with neuroticism, the methylation level was statistically significantly lower. Pearson's linear correlation analysis of stimulant-dependent subjects showed a positive correlation between total methylation island levels and the NEO-FFI Openness scale and the NEO-FFI Conscientiousness scale.

Clinical value of combined predictors of RET%, γ-GT, LDH in the ABO neonatal hemolytic disease.

The purpose of this study is to examine the prognostic significance of the amalgamated indicators, reticulocyte percentage (RET%), lactate dehydrogenase (LDH), and γ-Glutamyltransferase (γ-GT), in neonatal ABO hemolytic disease. A total of 137 hospitalized children with pathological jaundice were included. Based on their medical conditions, they were categorized into two groups, hemolytic (67 cases) and non-hemolytic (70 cases). Pearson linear correlation and binary logistic multivariate analysis were used to analyze LDH, γ-GT, RET% and hemolysis. Furthermore, the predictive value of the combined predictors of RET%, LDH, and γ-GT on ABO neonatal hemolytic disease was evaluated using the ROC curve analysis. The laboratory indexes of the two groups were subject to analysis using binary logistic regression to identify suspicious influencing factors. The study revealed that RET%, LDH, and γ-GT were independent risk factors for hemolysis. Pearson linear correlation analysis indicated a positive correlation between LDH and γ-GT with RET% (r = 0.529, P < 0.01; r = 0.526, P = <0.01, respectively). Furthermore, the predictive value of each combined predictor was obtained using the ROC curve, and it was observed that combined predictor L (RET% + LDH + γ-GT)>L1 (RET% + LDH)>L2 (RET% + γ-GT). Combined predictor L (RET% + LDH + γ-GT)demonstrate its optimal diagnostic efficacy, offering a novel approach towards diagnosing early-onset ABO hemolytic disease of the newborn.

Clinicopathological and prognosis significance of RIPK1 in patients with cervical squamous cell carcinoma: a retrospective cohort study.

Cervical cancer is one of the most common types of carcinoma in women and has high morbidity and mortality rates worldwide. Recurrent and metastatic disease remains difficult to treat. Receptor interacting protein kinase 1 (RIPK1) is a key molecule in mediating apoptosis, necroptosis, and inflammatory pathways downstream of death receptors and pattern recognition receptors. This study sought to explore the clinicopathological and prognosis significance of RIPK1 expression in cervical squamous cell carcinoma (CSCC). The data of 100 CSCC patients who underwent curative surgery from 2019 to 2020 were retrospectively included in this study. We collected the clinicopathological information of the patients and detected RIPK1 protein expression using immunohistochemistry. The Chi-square test and a 1-way analysis of variance were used to make comparisons between groups stratified by RIPK1 expression. A Pearson linear correlation analysis was used to evaluate the association between RIPK1 expression and the clinicopathological characteristics of the patients. A Cox regression analysis and Kaplan-Meier curves were used to analyze overall survival (OS) and progression-free survival (PFS). A multivariable regression analysis was conducted to identify the risk factors for an impaired prognosis in CSCC. RIPK1 was found to be overexpressed in the CSCC tissues. RIPK1 expression was significantly associated with age, the preoperative serum squamous cell carcinoma antigen (SCC-Ag) level, lymph node metastasis, invasion depth, International Federation of Gynecology and Obstetrics (FIGO) stage, tumor size, PFS, and OS (P<0.05). The PFS and OS differed significantly among patients with RIPK1 expression (P<0.05). The multivariate analysis showed that RIPK1 was not independent risk factors for PFS and OS in CSCC patients (P>0.05). The expression of RIPK1 was significantly upregulated in CSCC and was associated with the clinicopathological features of CSCC. RIPK1 might serve as a novel marker that can be used to predict the prognosis of CSCC patients and as a biological target for the treatment of CSCC.

Study on the Construction of Dynamic Modulus Master Curve of Polyurethane Mixture with Dense Gradation

The PU mixture considered here is a new kind of pavement material with excellent road performance, which lacks study into its dynamic mechanical and viscoelastic properties. In this study, the dynamic modulus of the polyurethane (PU) mixture was fitted by using five master curve models, five shift factor equations, and four error minimization methods. According to test results, the log–log plot form was able to more effectively display the differences between master curves. The solver method, the sum of square error minimization (≤0.02), proved to be more appropriate and accurate with higher fitting parameter results. The line of equality statistic and Pearson linear correlation analysis results demonstrated that WLF and Kaelble equations were appropriate for five master curve models with trend line R2 values higher than 0.98. The GLS and SCM model with the WLF equation had the most accurate master curve fitting results. The dynamic modulus master curve shape of the PU mixture did not follow the traditional smooth “S” shape and did not show the ultimate dynamic modulus at extreme frequency. The viscoelasticity of the PU mixture is quite different from that of the asphalt mixture. This study recommended the most accurate error minimization method, the master curve model, and shift factor equations for characterizing the dynamic properties of the PU mixture.

The Impacts Of COVID-19 Pandemic on Greenhouse Gas Emissions and Climate Change

The outbreak of COVID-19 in 2020 has brought enormous damage to human life and health and socioeconomic development. Yet, the influence of COVID-19 outbreak on the environment within the context of global warming has not been fully understood. Detailed and accurate explanation for the relationship between COVID-19 and economy, carbon emissions, and methane emissions remains a challenge. This study aims to highlight the significant impact of the COVID-19 pandemic on greenhouse gas emissions and climate change through a systematic literature review and comprehensive analysis of data from the U.S., China, Canada, and 27 European countries. To clarify the impact of COVID-19 on climate, the study outlines changes in carbon dioxide emissions by comparing data from pre-pandemic, during-pandemic, and post-pandemic (projected) scenarios. The correlation among carbon dioxide, temperature, GDP, and Population in countries is further examined with different levels of development using Pearson's Linear Correlation analysis and significance test. This study will potentially provide insights into future preparation and management of the impact of global emergency disaster emergencies.

Childhood parental companionship, self-esteem and prosocial behavior in college students: A correlation analysis

BackgroundWe aimed to evaluate the correlation of Childhood parental companionship, self-esteem and prosocial behavior in college students. MethodsWe conducted a survey to assess the childhood parental companionship, self-esteem and prosocial behavior in our college from November 1, 2021 to December 15, 2021. The parental companionship status questionnaire, Self-Esteem Scale (SES) and prosocial behavior questionnaire were used for survey. Pearson linear correlation analysis was used for evaluating the correlation of childhood parental companionship, self-esteem and prosocial behavior in college students. The Bootstrap method was used to test the potentially mediating effect. ResultsA total of 2186 college students were included. The average total companionship score was (60.52 ± 5.17), the average self-esteem scale score was (27.15 ± 8.56), the prosocial behavior questionnaire score was (61.19 ± 15.04). Pearson correlation analysis indicated that childhood parental companionship was positively correlated with self-esteem (r = 0.679) and prosocial behavior(r = 0.679) in included college students (all P < 0.05). Self-esteem had mediating effect on parental companionship and prosocial behavior of included college students, its mediating effect was −0.445, accounting for 77.92 % of the total effect. ConclusionsChildhood parental companionship is positively correlated with self-esteem and prosocial behavior, and self-esteem play a mediating role in the parental companionship and prosocial behavior of college students.

Development of Hydropower and the Environmental Impacts of Hydroelectric Dam Construction in China

The need to mitigate climate change and reduce carbon emissions has resulted in an increasing demand for the transition from fossil fuels to renewable sources of energy. Hydropower, in particular, has emerged as a prominent and extensively developed source of renewable energy in recent decades. This specific renewable energy harnesses the kinetic energy of falling or fast-flowing water to generate electricity. Despite being a dependable, adaptable, and cost-effective energy source, previous studies have highlighted the detrimental ecological effects of hydropower, ranging from altered land use to the disruption of natural habitats in the vicinity of dams. The main purpose of this study is two-fold. First, the change of renewable energy, particularly hydropower, is evaluated from 2000 to 2020 in China and globally, highlighting the leading role of hydropower in renewable energy generation. Second, this study aims to investigate the environmental influences of large hydroelectric dam construction and perform a case study of the Three Gorges Dam in China. The Pearson's linear correlation analysis was utilized to identify the association between hydropower and climate, and biodiversity, individually. Although dam construction can boost hydroelectricity generation, it can also have adverse effects on the regional climate and result in substantial depletion of biodiversity. This study will shed light on potentially reliable strategies to optimize the advantages of hydropower and minimize the negative environmental impacts of large-scale dam construction.

Nonlinear time-series analysis on the causality response of phytoplankton in a tributary of the Three Gorges Reservoir

水华的频发已成为当前三峡水库最为突出的生态环境问题之一。尽管水动力调控叠加上温度变暖和营养负荷增加会诱导水华暴发强度和频率增加,但仍缺乏有效的方法框架去利用野外观测数据评估环境因子与浮游植物间的因果关联。本研究以三峡水库澎溪河监测数据为例,采用非线性时序分析的建模框架来量化浮游植物的因果响应规律。数据来自于2007年6月至2018年9月澎溪河流域的高阳平湖和汉丰湖两个观测点,其中包含了水文、气象和水质及叶绿素a等11种变量。首先,利用奇异谱分析(SSA)分离了叶绿素a和环境因子的低维确定性动力学信号;其次,采用收敛交叉映射(CCM)方法检验了叶绿素a与环境因子间的因果关联。结果显示:① 气象因子、支流流量、水温、三峡大坝水位和上游调节坝水位是影响高阳平湖叶绿素a时序变化的重要因素;② 总氮、总磷为代表的营养盐只在汉丰湖观测点中表现出与叶绿素a的因果关系,且总氮较之于总磷对叶绿素a变化影响更为显著;③ CCM结果与传统的皮尔森相关性分析及格兰杰因果检验比较,证实非线性时序分析方法在分析浮游植物的因果响应上更具优势。本研究为水生态系统的因果建模提供了研究范例,也为推动利用长期观测数据评估三峡水库水华驱动因子提供了新的研究角度。;Harmful algae blooms in Three Gorges Reservoir (TGR) have become the most major environmental and ecological problem. Despite broad recognition that hydrological manipulation, warming climate and nutrient loading promote the intensity and frequency of bloom events, the main problem is still no science-based framework for evaluating the causal relationships between environmental factors and phytoplankton biomass by using field observation data. Thus, as a case study, a nonlinear time-series causality analysis framework was used to reveal the phytoplankton response in the TGR, China. Two sampling stations, named Lake Gaoyangping and Lake Hanfeng, were used to reconstruct the dynamics of real-world environmental systems with eleven parameters from June 2007 to September 2018. Singular spectrum analysis isolated low-dimensional, deterministic signals for chlorophyll-a(Chl.a) dynamics and other candidate drivers. Causal analysis with convergent cross-mapping (CCM) provided strong evidence that temperature, sunshine hours, precipitation, discharge in the tributary, and water level of TGR systematically influenced phytoplankton biomass dynamics in Lake Gaoyangping. In contrast, total nitrogen (TN) and total phosphorus (TP) showed a causal relationship with Chl.a only in Lake Hanfeng, and the effect of TN on Chl.a was more significant than that of TP. Finally, the research compares the nonlinear CCM analysis with the linear Pearson correlation analysis and Granger causality test. It confirms that the nonlinear causality method has more advantage in causal discovery based on long time-series monitoring data. Overall, this study provides a case for causal modelling of water ecosystems and a new research perspective for evaluating the environmental drivers of harmful algae blooms in TGR by using long-term observational data.

Can chemical attributes replace sensory evaluation in consumer preference for papaya fruits?

The expansion of the papaya crop depends on cultivars with superior characteristics and human acceptance of the product. Thus, the objective was to study the sensory aspect and the main chemical characteristics of the fruit in 23 papaya genotypes cultivated in the north of the state of Espírito Santo and to evaluate if any chemical characteristic can be used to replace the evaluation by the hedonic scale. At 12 months after planting, fruit samples were evaluated for soluble solids content, titratable acidity, SS/TA ratio and a nine-point structured hedonic scale. The samples submitted to the hedonic scale were represented in codes and evaluated according to the experimental design in randomized blocks, totaling 12 treatments with 15 replications in the first experiment and 11 treatments and 21 replications in the second experiment. The data obtained were submitted to analysis of variance and Tukey's test at 5% probability. The means of the four characteristics, in the two experiments, were submitted to Pearson's linear correlation analysis. There was marked variability between the genotypes by the hedonic scale in the two experiments, highlighting the hybrids CR1 x São Mateus and JS12 x SSAM as the most accepted by the consumer.

Experimental Test of Reinforced Timber of FRCM-PBO with Pull-Off Adhesion Method.

The article describes the results of pull-off adhesion strength of the FRCM-PBO (Fiber Reinforced Cementitious Matrix-p-Phenylene benzobis oxazole) composite adhered to the epoxy resin layer which is the connector with the timber beam. In addition, this paper shows the results of the tests of resistance to pull-off the epoxy resin layer from the pine beam. The tests were carried out based on the Polish Standard PN-EN 1542. The Pearson linear correlation analysis was also carried out in order to determine the correlation between the obtained results and the destructive forces. The factors that occurred during the test that may affect its results, such as the method of applying the bursting force, surface preparation of the tested elements and the types of substrate destruction, were also characterized. The experimental data show that in all the tested samples, non-initial adhesive destruction between the adhesive layer and the disc was observed.

Deep Tillage Strategies in Perennial Crop Installation: Structural Changes in Contrasting Soil Classes.

Tillage modifies soil structure, which can be demonstrated by changes in the soil’s physical properties, such as penetration resistance (PR) and soil electrical resistivity (ρ). The aim of this study was to evaluate the effect of deep tillage strategies on three morphogenetically contrasting soil classes in the establishment of perennial crops regarding geophysical and physical-hydric properties. The experiment was conducted in the state of Minas Gerais, southeastern Brazil. The tillage practices were evaluated in Typic Dystrustept, Rhodic Hapludult, and Rhodic Hapludox soil classes, and are described as follows: MT—plant hole; CT—furrow; SB—subsoiler; DT—rotary hoe tiller; and DT + calcium (Ca) (additional liming). Analyses of PR and electrical resistivity tomography (ERT) were performed during the growing season and measurements were measured in plant rows of each experimental plot. Undisturbed soil samples were collected for analysis of soil bulk density (Bd) at three soil depths (0–0.20, 0.20–0.40, and 0.40–0.60 m) with morphological evaluation of soil structure (VESS). Tukey’s test (p < 0.05) for Bd and VESS and Pearson linear correlation analysis between Bd, ρ, and PR were performed. Soil class and its intrinsic attributes have an influence on the effect of tillage. The greatest effect on soil structure occurred in the treatments DT and DT + Ca that mixed the soil to a depth of 0.60 m. The ρ showed a positive correlation with Bd and with PR, highlighting that ERT may detect changes caused by cultivation practices, although ERT lacks the accuracy of PR. The soil response to different tillage systems and their effects on soil structure were found to be dependent on the soil class.

Forest protection costs in sustainable forest management. The example of Poland

Purpose: The main aim of the study is to analyze the costs of forest protection incurred by Poland's State Forests and to present the activities performed as part of forest protection. The specific objective is to present the method and place of disclosing and reporting information on actions to prevent damage to the forest and on the costs of forest protec-tion on a general level. Methodology/approach: The considerations in the study are presented against the views presented in the literature on the subject by selected authors. The methods of critical analysis and synthesis, inference, and a case study were used. The data for the analyses were taken from the financial and economic reports of the State Forests for the years 2016–2019, from the statistical studies „Forestry”, and reports obtained as part of the application submitted to the State Forests for the reuse of public sector information. Pearson's linear correlation analysis was used, as well as an agglomeration grouping method – Ward's method – which uses the analysis of variance approach in its procedures. Findings: The scale of forest protection measures varied between State Forests in the analyzed period. The highest costs for forest protection in total are borne by forest dis-tricts located in the area of State Forests in Wrocław, and the lowest costs for forest protection in total are borne by forest districts located in the area of State Forests in Kra-ków. The smallest area protected against insects covers forest districts located in the State Forests in Krakow. With the increase in the costs of forest protection, State Forest’s own costs also increase. The highest relationship was noted in 2017, with a correla-tion coefficient of 0.86. Research limitations: The research sample is limited to one country. Originality/value: The presented voice in the discussion fills the research gap in terms of information about State Forests’ activities to protect the forest and the subsequent costs incurred. The use of Ward’s method allowed similar regional directorates of State Forests to be grouped from the perspective of forest protection costs and protective measures (area approach), which is the basis for extended research in this area from the point of view of the natural diversity of these units (narrowing the research and conducting it in similar State Forests units).

Effect of radio frequency, ultrasound, microwave-assisted papain, and alcalase hydrolysis on the structure, antioxidant activity, and peptidomic profile of Rosa roxburghii Tratt. seed protein.

Traditional enzymatic hydrolysis methods have defects such as low efficiency and poor bioactivity in the production of active peptides. In this study, radio frequency (RF) technology was innovatively used to assist the hydrolysis of Rosa roxburghii Tratt. seed protein (RTSP) by papain and alcalase. RF-assisted hydrolysis was compared with ultrasound-(US) and microwave (MW)-assisted techniques in terms of the degree of hydrolysis, structure, antioxidant properties, and changes in the peptidome of the hydrolysates to clarify the mechanism of functional change of physically-assisted hydrolysate. All three methods improved hydrolysis efficiency. The degree of hydrolysis (DH) of papain group increased from 6.38% to 7.97%, 9.97% and 8.37% after US-, MW- and RF-assisted hydrolysis, respectively, while the DH of alcalase-treated group increased from 21.13% to 25.66%, 26.03%, and 23.01%, respectively. The in vitro antioxidant capacity and intracellular antioxidant capacity of RTSP and its hydrolysates were measured and evaluated by fuzzy statistical evaluation, and MW-assisted alcalase hydrolysis had the highest in vitro and intracellular antioxidant activity scores of 0.713 and 0.820, respectively. Fourier transform infrared and amino acid composition analysis explained the enhanced antioxidant properties of the hydrolysates. Further peptide profiling showed the physical assistance led to an increase in the species and contents of small molecule antioxidant peptides compared to enzyme treatment alone. Pearson's linear correlation analysis showed that AY, LY, IY, PHW, SVL, LHL, YYV, VYY, and NHAV were significantly correlated with the antioxidant properties of hydrolysates. Our data suggested that physical assistance such as US, MW, and RF were effective to improve the efficiency of enzymatic hydrolysis and produce novel antioxidant peptides. PRACTICAL APPLICATION: In this study, it was found that electromagnetic wave-assisted enzymatic hydrolysis could improve the efficiency of hydrolysis and enhance the antioxidant activity of hydrolysates compared to unassisted means. Compared with MW treatment, RF has the comparable hydrolysis effect, but has the advantages of high penetration ability, good uniformity, and low energy consumption and has greater potential for the production of bioactive peptides.

Effects of biochar addition on the fate of ciprofloxacin and its associated antibiotic tolerance in an activated sludge microbiome

This study investigated the effects of adding biochar (BC) on the fate of ciprofloxacin (CIP) and its related antibiotic tolerance (AT) in activated sludge. Three activated sludge reactors were established with different types of BC, derived from apple, pear, and mulberry tree, respectively, and one reactor with no BC. All reactors were exposed to an environmentally relevant level of CIP that acted as a definitive selective pressure significantly promoting AT to four representative antibiotics (CIP, ampicillin, tetracycline, and polymyxin B) by up to two orders of magnitude. While CIP removal was negligible in the reactor without BC, the BC-dosed reactors effectively removed CIP (70–95% removals) through primarily adsorption by BC and biodegradation/biosorption by biomass. The AT in the BC-added reactors was suppressed by 10–99%, compared to that without BC. The BC addition played a key role in sequestering CIP, thereby decreasing the selective pressure that enabled the proactive prevention of AT increase. 16S rRNA gene sequencing analysis showed that the BC addition alleviated the CIP-mediated toxicity to community diversity and organisms related to phosphorous removal. Machine learning modeling with random forest and support vector models using AS microbiome data collectively pinpointed Achromobacter selected by CIP and strongly associated with the AT increase in activated sludge. The identification of Achromobacter as an important AT bacteria revealed by the machine learning modeling with multiple models was also validated with a linear Pearson's correlation analysis. Overall, our study highlighted Achromobacter as a potential useful sentinel for monitoring AT occurring in the environment and suggested BC as a promising additive in wastewater treatment to improve micropollutant removal, mitigate potential AT propagation, and maintain community diversity against toxic antibiotic loadings.

Correlation between Glucose/C-Peptide Ratio and the Risk of Disease Progression in Diabetic Nephropathy Patients: A Clinical Retrospective Analysis.

The aim of this study is to analyze the correlation between the glucose/C-peptide ratio and the risk of disease progression in patients with diabetic nephropathy. Ninety-three patients with diabetic nephropathy, who were treated in the Chun'an Branch of Zhejiang Provincial People's Hospital, China, from January 2016 to January 2019, were recruited as subjects. In accordance with the disease progression, the patients were divided into a progression group (n = 59) and a nonprogression group (n = 34). Clinical data were compared between the two groups. Pearson's correlation was applied to analyze the correlation of age, postprandial glucose/C-peptide, glycosylated hemoglobin, insulin resistance index, serum cystatin C, uric acid, 24 h urinary albumin excretion rate (24 hUAER), and estimated glomerular filtration rate (eGFR). Univariate and multivariate logistic regression models were utilized to analyze the influencing factors for the risk of disease progression in patients with diabetic nephropathy. The receiver operating characteristic (ROC) curve was employed to assess the predictive value of postprandial glucose/C-peptide on the risk of disease progression in patients with diabetic nephropathy. Results. The age differences, postprandial glucose/C-peptide, glycosylated hemoglobin, insulin resistance index, serum cystatin C, uric acid, 24 hUAER, and eGFR were significantly different between the two groups (P < 0.05). Pearson's linear correlation analysis exhibited that postprandial glucose/C-peptide, insulin resistance index, serum cystatin C, and uric acid were positively correlated with 24 hUAER (r = 0.514, 0.345, 0.311, 0.279, P < 0.05). Age, postprandial glucose/C-peptide, insulin resistance index, serum cystatin C, and uric acid were negatively correlated with eGFR (r = −0.210, −0.610, −0.351, −0.347, and −0.274, P < 0.05). Univariate logistic regression analysis displayed that age (OR = 0.938; P=0.043), postprandial glucose/C-peptide (OR = 0.851; p ≤ 0.001), insulin resistance index (OR = 0.219; p ≤ 0.001), serum cystatin C (OR = 0.113; p ≤ 0.001), and uric acid (OR = 0.989; P=0.001) were risk factors for the risk of disease progression in patients with diabetic nephropathy. Multivariate logistic regression analysis exhibited that postprandial glucose/C-peptide (OR = 0.747; P=0.004), insulin resistance index (OR = 0.072; P=0.012), serum cystatin C (OR = 0.023; P=0.020), and uric acid (OR = 0.967; P=0.039) were independent risk factors for the risk of disease progression in patients with diabetic nephropathy. The ROC curve results demonstrated that the AUC of postprandial glucose/C-peptide predicting the risk of disease progression in patients with diabetic nephropathy was 0.931. Postprandial glucose/C-peptide, insulin resistance index, serum cystatin C, and uric acid are correlated with 24hUAER and eGFR. Postprandial glucose/C-peptide, insulin resistance index, serum cystatin C, and uric acid are independent risk factors for the risk of disease progression in patients with diabetic nephropathy. Among them, postprandial glucose/C-peptide can be employed as a crucial indicator to predict the risk of disease progression in diabetic nephropathy patients.

Establishment of a finite element model and stress analysis of intra-articular impacted fragments in posterior malleolar fractures

BackgroundIntra-articular impacted fragments (IAIFs) are considered articular surface fragments resulting from impact and compressive forces. The malreduction of IAIFs in posterior malleolar fractures has been associated with talar subluxation and long-term post-traumatic arthritis. In this study, we establish IAIF defect finite element models of different sizes in posterior malleolar fractures and explored how IAIF defects predict the onset of post-traumatic arthritis.MethodsA reliable three-dimensional finite element model of the normal ankle was established. Finite element models with different sizes of IAIF defects were created to calculate ankle joint contact stress. The finite element data were recorded and analyzed.ResultsThere was a linear relationship between the size of the IAIF defect and MCS with IAIF defects in the posterolateral region. The result of Pearson linear correlation analysis was r = 0.963, P = 0.009. The regression equation was MCS = 0.087*AI + 2.951 (AI, area of IAIF) by simple linear regression analysis. When the IAIF defect was in the posteromedial region, there was also a linear relationship between the size of the IAIF defect and MCS. The result of Pearson linear correlation analysis was r = 908, P = 0.033. The regression equation was MCS = 0.065*AI + 1.841. The MCS was increased mainly in the border of the IAIF defect.ConclusionsA small IAIF defect in the posterior malleolus will result in a high MCS, and the MCS in the posterolateral region is larger than the MCS in the posteromedial region when the size of the IAIF defect is the same. We obtain the regression equation of MCS and area of IAIF defect. This indicates that patients are more prone to post-trauma arthritis when the size of IAIF defects is more than 17.8 mm2 in the posterolateral region and more than 40.9 mm2 in the posteromedial region.Trial registration Retrospectively registered.

Correlation Between Blood Glucose Variability and Early Therapeutic Effects After Intravenous Thrombolysis With Alteplase and Levels of Serum Inflammatory Factors in Patients With Acute Ischemic Stroke.

ObjectiveTo investigate the effects of blood glucose variability on early therapeutic effects after intravenous thrombolysis with alteplase and the levels of serum inflammatory factors in patients with acute ischemic stroke (AIS).MethodsWe enrolled AIS patients who received intravenous thrombolysis within 4.5 h of the onset of symptoms. Clinical data, including the National Institutes of Health Stroke Scale (NIHSS), glycosylated hemoglobin, mean blood glucose, standard deviation of blood glucose, mean amplitude of glycemic excursion, mean variation coefficient of blood glucose, interleukin-6 (IL-6), active matrix metalloproteinase-9 (MMP-9), tumor necrosis factor α (TNF-α), and hypersensitive C-reactive protein (hs-CRP) levels, were compared between a group who showed improvement (the improvement group) and a group who did not show improvement (the non-improvement group). Relevant factors for early neurological improvement after thrombolysis with alteplase were analyzed by using multivariate logistic regression models. A Pearson linear correlation analysis was also performed on blood glucose variation and inflammatory factor levels within the two groups.ResultsA total of 146 patients were included, 63 of which had early symptom improvement (43.15%). The diabetes ratio, atrial fibrillation ratio, baseline NHISS score, random blood glucose at admission, and glycosylated hemoglobin of patients in the improvement group were significantly lower than those in the non-improvement group (P < 0.05 in all cases). The mean blood glucose, standard deviation of blood glucose, mean amplitude of glycemic excursion, and mean blood glucose variation coefficients of patients in the improvement group were significantly lower than those in the non-improvement group (P < 0.05). Serum inflammatory factor levels, including IL-6, MMP-9, TNF-α and hs-CRP, were significantly lower in patients in the improvement group compared to patients in the non-improvement group (P < 0.05). Multivariate logistic regression analysis showed that baseline NIHSS scores (OR = 1.28, 95% CI = 1.05–1.62, P = 0.02), glycosylated hemoglobin scores (OR = 2.57, 95% CI = 1.78–3.98, P = 0.0005), diabetes (OR = 13.10, 95% CI = 1.63~131.45, P = 0.021), the mean amplitude of glycemic excursion (OR = 2.98, 95% CI = 1.92–5.00, P < 0.0001), and the mean variation coefficient of blood glucose (OR = 1.40, 95% CI = 1.26–1.60, P = 0.0078) were significantly correlated with early symptom improvement after thrombolysis. Pearson linear correlation analysis showed that the standard deviation of blood glucose, mean amplitude of glycemic excursion, and the mean variation coefficient of blood glucose were significantly positively correlated with IL-6, MMP-9, TNF-α and hs-CRP levels (P < 0.01).ConclusionsBlood glucose variability is correlated with early neurological improvement after intravenous thrombolysis with alteplase in AIS patients. With the increase of blood glucose fluctuation range, the inflammatory response is enhanced, which affects the prognosis of patients.

Correlação e regressão entre mensurações corporais e características de carcaça em bovinos da raça Nelore.

To add quality to the final product, it is necessary to use technologies that carry out the identification and use of superior genetics. The objective was to evaluate the relationship between body measurements (AP and PT) and carcass characteristics evaluated by ultrasonography (AOL, EGS and MAR), through Pearson linear correlation analysis and linear regression. The data used were obtained from the archives of the Santa Nice farm (Amaporã-PR). A total of 543 animals that had AP and PT measurements at 490 days were analyzed. Carcass characteristics were evaluated using ultrasonography equipment. Analyzes were performed using the SAS program. AP and PT presented positive and moderately significant correlation with AOL and negative and weakly significant with MAR. AP and PT showed a negative correlation with EGS, but significant only between AP and EGS, which was negative and very weak. Linear regression analyzes followed correlations, being significant for all analyzed variables, except for PT and EGS. Thus, it was concluded that body measurements such as AP and PT are not good indicators of meat quality related to fat deposition, such as EGS and MAR, however, both AP and PT can be used to increase AOL. Keywords: Body measurements. Carcass characteristics. Nellore.