Single Factor Analysis Research Articles

Thermal performance analysis of battery thermal management system utilizing bionic liquid cooling plates with differentiated velocity distribution strategy

Bionic channel liquid cooling plates (BC-LCPs) show high heat dissipation performance in battery thermal management system (BTMS), but suffer from the poor temperature-equalizing ability. Herein, a BTMS with novel BC-LCPs and differentiated velocity distribution strategy is proposed to overcome the low temperature uniformity, and balance the cooling performance and power consumption. The BC-LCPs are firstly designed by precisely tailoring the series cobweb channels inspired by the bionic structures in the nature. Through systematic optimization combining single factor analysis with orthogonal test and complementary test, differentiated velocities (vI and vII) of 0.20 and 0.46 m∙s−1 are adopted, respectively. Ultimately, the LC system demonstrates exceptional cooling performance while maintaining lower energy consumption. For example, with a discharge rate of 3C and an environment temperature of 50 °C, the temperature and temperature difference of the battery pack are controlled synergistically below 30.9 and 4.47 °C, respectively. At the same time, the Ptotal can reach as low as 0.202 W, which is reduced by 42.0 % compared to the case with uniform velocity strategy.

Optimization study on acid condensation and anti-corrosion performance of 3-D finned tube heat exchangers

Low-temperature acid corrosion on flue gas heat exchanger surfaces seriously reduces the stability, safety, and economy of equipment operation. Efficient strategies are urgently required to improve the anti-corrosion performance of heat exchangers. In present paper, a three-dimensional heat and mass transfer model integrating the acid dew point, acid condensation rate, and solution concentration was developed to predict the corrosion characteristics on the surfaces of 3-D finned tube heat exchangers. Firstly, a comparative analysis of acid condensate characteristics for 3-D finned tubes with different configurations was performed. The results showed that the elliptical tube effectively improves the distribution uniformity of acid condensate rate and promotes anti-corrosion performance. Then, the effects of five operating parameters (gas temperature, gas velocity, water vapor concentration, acid vapor concentration and wall temperature) on overall corrosion characteristics were systematically examined in terms of acid dew point, condensation rate and solution concentration using single-factor and orthogonal analysis, and the effect order of each factor was determined. Furthermore, optimization analysis of anti-corrosion performance was conducted based on the orthogonal results, and the optimum working conditions (water vapor concentration below 11.8% and wall temperature of 347 K to 355 K) are recommended. This research can provide theoretical guidance for the anti-corrosion designation and optimization of 3-D finned tube exchangers.

Exploring the causes of the prevalence of vancomycin-resistant Enterococcus faecalis

BackgroundBacterial drug resistance represents a significant global concern, with vancomycin-resistant Enterococcus faecalis posing a particularly grave threat to contemporary healthcare systems. This study aims to reveal the reasons for the prevalence of VRE in China.MethodsThis study collected data from the China Antimicrobial Resistance Detection System, China Statistical Yearbook, and China Meteorological Network. The collected data are meticulously organized and subjected to both single-factor and multi-factor analyses. An accurate multiple linear regression model was developed by utilizing this comprehensive dataset.ResultsSingle-factor analysis revealed significant regional variations in the resistance rate of vancomycin-resistant Enterococcus faecalis (P = 0.003). Specifically, there were noteworthy disparities observed between regions experiencing temperate and monsoon climates (P = 0.029; P = 0.005). Furthermore, multi-factor regression analysis demonstrated a negative correlation between the drug resistance rate and both rainfall and rGDP, while a positive correlation was observed with nPI.ConclusionWe successfully established a prediction model for the VRE and found that the resistance rate was low in areas with high rainfall and high per capita economic income, but high in areas with many specialized public health institutions. This is critical for public health strategies and helps policymakers and healthcare practitioners tailor antibiotic resistance approaches to local geography, meteorology, economic conditions.

Optimization of nitrogen removal by immobilized heterotrophic nitrification aerobic denitrifying bacterium using response surface methodology

An innovative bacterial carrier complex embedded with polyvinyl alcohol and sodium alginate complex (P.S.) was developed, using the heterotrophic nitrification-aerobic denitrification (HN-AD) strain Paracoccus sp. QD-21, which was carefully selected from activated sludge. The performance of the immobilized bacterium on ammonia nitrogen, nitrate nitrogen, and nitrite nitrogen was thoroughly analyzed, aiming to investigate the synergistic effects of the P.S.-encapsulated bacterial carrier on the HN-AD strain QD-21. To assess the adaptability of the immobilized bacterium, various single-factor analysis experiments were conducted, including the assessment of carbon source, C/N, temperature, pH, rotational speed, and salinity. Subsequently, response surface methodology was employed to conduct further optimization, leading to the identification of optimum conditions (147.31 rpm, 36°C, C/N 8.72, pH 8). Under these conditions, an impressive ammonia nitrogen removal rate of 94.82 ± 0.82% was achieved. Furthermore, practical wastewater treatment experiments were carried out, demonstrating a remarkable 63.31% increase in ammonia nitrogen removal when the carrier with HN-AD bacterium attached was employed. Notably, the addition of a specific carbon source remarkably enhanced the treatment efficiency, resulting in a complete removal rate of 100%. These significant findings lay a solid foundation for the engineering application of the HN-AD bacterium and highlight the promising potential of the P.S.-encapsulated bacterial carrier complex in various applications.

Lipid Identification of Biomarkers in Esophageal Squamous Cell Carcinoma by Lipidomic Analysis

Lipids participate in many important biological functions through energy storage, membrane structure stabilization, signal transduction, and molecular recognition. Previous studies have shown that patients with esophageal squamous cell carcinoma (ESCC) have abnormal lipid metabolism. However, studies characterizing lipid metabolism in ESCC patients through lipidomics are limited. Plasma lipid profiles of 65 ESCC patients and 42 healthy controls (HC) were characterized by lipidomics-based ultraperformance liquid chromatography quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS). Single-factor and multi-factor statistical analysis were used to screen the differences in blood lipids between groups, and combined with component ratio analysis and receiver operating characteristic (ROC) curve diagnostic efficiency assessment, to reveal the potential mechanisms and biomarkers of ESCC. There were significant differences in lipid profiles between the ESCC and HC groups. Thirty-six differential lipids (11 up-regulated and 25 down-regulated) were selected based on the criteria of p < .05 and fold change > 1.3 or < 0.77. Glycerophospholipids were the major differential lipids, suggesting that these lipid metabolic pathways exhibit a significant imbalance that may contribute to the development of esophageal squamous cell carcinoma. Among them, the seven candidate biomarkers for esophageal squamous cell carcinoma with the highest diagnostic value are three phosphatidylserine (PS), three fatty acids (FA) and one phosphatidylcholine (PC).

Experimental study of penetration for the analysis of pre-cut free surface parameters in rock materials based on response surface methods

The strength of intact rock material is reduced after it has been cut by techniques such as water jets, based on which the use of disc cutter hobs for rock-breaking by hobbing has good economic results. The kerf is the free surface created by water jet cutting. The kerf depth, kerf spacing, and kerf angle are the main parameters affecting the rock-breaking force of the disc cutter, which can be simplified as the normal penetration load of the indenter. To investigate the effect of prefabricated notch parameters on the penetration load and the sensitivity of the response of penetration load to each factor, response surface tests were carried out on sandstone and granite specimens, and every factor’s impact on the penetration load was examined. The results showed that: (1) The single factor analysis and interactive analysis of the prefabricated kerf parameters for sandstone and granite samples showed that the penetration load was negatively correlated with kerf depth and kerf angle, and positively correlated with kerf spacing within the set range of the test. (2) The difference in rock strength can also affect the penetration load of the samples. In the prefabricated kerf-assisted rock-breaking test, for the high-strength rock samples represented by granite, increasing the prefabricated kerf depth can reduce the penetration load of the samples more effectively.

Comparing Nitric Oxide Generation Pathways using Dietary L-Arginine and Dietary Nitrate: A 15N tracer study in Wistar Rats

Mammals generate nitric oxide (NO) through two main pathways. In the direct production pathway, endogenous nitric oxide synthase (NOS) enzymes catalyze the reaction of L-arginine with oxygen, producing nitric oxide and citrulline. When oxygen accessibility is low, the reductive pathway supplies nitric oxide through the nitrate-nitrite-NO reduction cascade. Additional research is needed to understand whether the two NO generation pathways interact and what effects the two pathways have on the body and each other. We investigated how dietary supplementation of 15N-L-arginine (0.5 g/kg), 15N-nitrate (0.013 g/kg), or a combination of L-arginine and nitrate influences nitrate concentrations in plasma, skeletal muscle, and liver tissue from Wistar rats. We administered treatments via oral gavage. Two hours after treatment administration, we euthanized the rats and collected tissue samples. The nitrate concentrations were measured using chemiluminescence, and future mass spectrometry analysis for 15N/14N ratios will be performed. The calculated concentrations were compared between treatment groups using single factor analysis of variance. Firstly, we observed that nitrate administration significantly increased total nitrate levels in plasma, liver, and muscle tissues compared to the control group. Interestingly, L-arginine alone did not result in a significant rise in total nitrate concentrations. Notably, liver tissue from the L-arginine-treated group had slightly lower concentrations of nitrate than the control group. The combination of L-arginine and nitrate showed no statistically significant difference when compared with the nitrate-treated group in all three tissues. These results suggest that a bolus of L-arginine does not have a substantial short-term effect (within 2 hours after ingestion) on total nitrate concentrations in rat tissues. Future mass spectrometry analysis will indicate how the tissues handle acute ingestion of two different NO sources: L-arginine and nitrate. Further research must be performed for a more detailed understanding of the kinetics of arginine and nitrate, as well as for the effects of these dietary supplements on improving NO homeostasis. This work was supported by intramural NIDDK/NIH grant ZIA DK 025104-15 to Alan N. Schechter. 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.

ASSESSMENT OF RIGHT VENTRICULAR FUNCTION FOLLOWING PERMANENT PACEMAKER IMPLANTATION BY ECHOCARDIOGRAPHY (INCLUDING 3D ECHOCARDIOGRAPHY)

Objective: Several studies have shown that unfavorable ventricular remodelling &amp; mechanical dyssynchrony caused by Right ventricular (RV) pacing leading to development of Left Ventricular dysfunction. Nevertheless, impact of RV pacing on Right Ventricle function has not been thoroughly assessed. Hence, prospective study was done to assess RV dimensions &amp; function by 2D and three-dimensional (3D) echocardiography at 3 months &amp; 6 months after pacemaker implantation Design and method: This study was a prospective single-centre study. All patients who underwent pacemaker implantation were assessed for RV function by 2D and 3D Echocardiography at baseline (pre-procedure), 3 months &amp; 6 months after pacemaker implantation. The change in follow-up period was evaluated by using single factor analysis of variance ANOVA with repeated measures in normally distributed data &amp; Bonferroni post-hoc test. A p value of &lt;0.05 is considered to be statistically significant Results: From January 2022 to December 2022, a total of 66 patients with permanent pacemaker were enrolled in the study. There was statistically non-significant changes in mean LVEF (%) during follow up (62.13±3.92(Baseline) vs. 62.21±4.15(3-month) vs 62.03+3.83 (6-months), p value&gt;0.05).However, there was statistically significant changes in mean PASP (mm Hg) during follow up (18.45±3.45 (Baseline) vs. 22.18±3.76 (3-month) vs 26.45+3.97, p value &lt;0.05). Also, there was statistically significant changes in mean RIMP during follow up (0.48±0.04(Baseline) vs. 0.50±0.04(3-month) vs 0.50+0.03(6-month),p value&lt;0.05).Likewise, there was statistically significant changes in mean RV E/E’ during follow up (4.47±0.57(Baseline) vs. 4.70±0.74(3-month) vs 4.95+0.82(6-month),p value &lt;0.05).In addition, there was statistically significant changes in mean TR Jet Area (cm2) during follow up (1.68±0.26(Baseline) vs. 2.22±0.43(3-month) vs 2.56+0.53(6-month), p value &lt;0.05). But, there was statistically non-significant changes in mean RVEF % (3D Echo) during follow up (53.51± 2.75(Baseline) vs. 53.02±2.64 (3-month) vs 53.48+2.34 (6-month), p value &gt;0.05).Other echocardiographic parameters of RV function did not show any change in 3-months &amp; 6-months follow-up. Conclusions: There is change in Right Ventricular function after Pacemaker implantation which can be documented as early as 6 months post implantation. Permanent pacemaker was associated with changes in RIMP, RV E/E’, PASP, TR JET AREA during 6 months after Right ventricular pacing

The rupture risk of intracranial saccular aneurysm: a case-control study based on a three-dimensional computed tomography angiography model.

Assessing the risk of rupture in intracranial aneurysms is crucial. Advancements in medical imaging now allow for three-dimensional (3D) assessments of aneurysms, providing a more detailed understanding of their morphology and associated risks. This study aimed to compare the 3D morphological parameters of ruptured and unruptured intracranial saccular aneurysms (ISAs) using computed tomography angiography (CTA) and to analyze risk factors linked to ISA rupture. This retrospective case-control study included patients diagnosed with ISAs via CTA, for which data were sourced from both the Emergency Department and Inpatient Unit in The First Affiliated Hospital of Jinan University. The patients were categorized into rupture and unrupture groups. We used 3D-Slicer (version 5.2.2, Slicer Community) to construct morphological models of the ISAs and their parent arteries. These models facilitated assessments of intracranial aneurysmal volume (IAV), aneurysmal surface area (ASA), and maximum sectional area (MSA). Differences in 3D morphological parameters between ruptured and unruptured ISAs were then analyzed. For statistical analysis, we first performed single factor analysis on the data, constructed a receiver operating characteristic (ROC) curve one by one with statistically significant parameters, and screened out ROC curves that met the sample requirements. Second, we performed multiparameter logistic regression analysis to construct a ROC curve model and analyzed its predictive performance. The analysis encompassed 97 patients comprising 97 ISAs diagnosed from March 2016 to March 2022. Significant differences in morphological parameters were observed between the rupture and unrupture groups (P<0.05), including IAV, ASA, MSA, IAV/diameter (IAV/D), IAV/neck width (IAV/N), MSA/diameter (MSA/D), MSA/neck width (MSA/N), ASA/neck width (ASA/N), and ASA/MSA. It was found that the IAV, ASA, and MSA values of the rupture group were larger than those of the unrupture group. Meanwhile, the IAV/D, IAV/N, MSA/D, MSA/N, and ASA/N values were larger in the rupture group, while ASA/MSA and ASA/IAV were smaller. This study underscores the significance of specific morphological indicators, such as ASA/N and ASA/MSA, in predicting the rupture risk of ISAs. The IAV, MSA, and ASA parameters, especially in relation to diameter and neck width, provide crucial insights into the rupture potential of ISAs.

Application and value of anxiety and depression scale in patients with functional dyspepsia

BackgroundPatients with functional dyspepsia (FD) cannot be assessed for their mental health using a suitable and practical measure. The purpose of the study is to investigate the usefulness of several anxiety and depression scales in patients with FD, offering recommendations for clinical identification and therapy.MethodsFrom September 2021 to September 2022, patients were sought and selected. The psychological symptoms were assessed using ten depression or anxiety questionnaires. The receiver operating characteristic (ROC) curve, Spearman analysis, Pearson correlation analysis, and single factor analysis were applied.ResultsProspective analysis was performed on 142 healthy individuals and 113 patients with FD. In the case group, anxiety and depression symptoms were more common than in the control group, and the 10 scales showed strong validity and reliability. HAMD had the strongest connection with the PHQ-9 score on the depression scale (0.83). The score correlation between SAS and HAMA on the anxiety analysis scale was the greatest at 0.77. The PHQ-9, SAS, HAMD, and HAMA measures performed exceptionally well in detecting FD with anxiety or depression symptoms (AUC = 0.72, 0.70, 0.70, 0.77, and 0.77, respectively).ConclusionsPHQ-9, SAS, HAMD, and HAMA scales have good application performance in FD patients. They can assist gastroenterologists in evaluating anxiety and depression symptoms, and provide reference and guidance for subsequent treatment.

Influence of dancesport on segmental coordination development in 6-8-year-old children

Background and Study Aim. Dancesport significantly contributes to segmental coordination development in 6-8-year-old children through rhythmic movements and interaction with dance partner. The study aimed to investigate the impact of dancesport on segmental coordination development in children aged 6 to 8. Material and Methods. The study involved a group of 14 children aged 6 to 8 from the National Children's Palace in Bucharest. Research was conducted from February to June 2023. Segmental coordination assessment for upper limbs was done using Witty SEM, with 16 impulses of the smart semaphores (Lap L1-16) at 4 difficulty levels. Parameters measured: visual reaction time for each Lap (seconds), Lap mean (seconds), and total time (seconds). During the study period, a program with dancesport elements (Standard and Latino styles) was implemented for 36 hours, 2 hours per week. Comparative analysis between difficulty levels was done using ANOVA test, Single Factor Analysis of Variance, and Paired Comparison for Means. Statistical significance was set at p&lt;0.05. Results. Comparative analysis between difficulty levels in the initial and final tests reveals an increase in Lap mean from L1-2 (24.5%) in the final test to L2-3 (53.8%) and L3-4 (24.6%) in the initial test. Comparing the average results of difficulty levels between tests, a decrease in visual reaction time by 0.04 seconds at L1, an increase by 0.03 seconds at L2, a decrease by 0.08 seconds at L3, and a decrease by 0.19 seconds at L4 were observed. Comparative analysis results of segmental coordination between tests at each difficulty level show significant differences of 5.6% (p&lt;0.05) and 22.2% (p&lt;0.01). Negative differences, indicating better performance between tests, are also observed at L1 by 33.3%, at L2 by 55.5%, at L3 by 38.9%, and at L4 by 27.8%. Conclusions. The study results reveal a significant increase in difficulty level among 6-8-year-old children, emphasizing the positive influence of dancesport elements on segmental coordination development. Comparative analysis of visual segmental reaction across different difficulty levels highlighted significant differences. Superior performances observed at lower difficulty levels comparing initial with final tests indicate an improvement in segmental coordination abilities.

Spatiotemporal Evolution of Ecological Environment Quality and Driving Factors in Jiaodong Peninsula, China

To monitor the Ecological Environment Quality (EEQ) of the Jiaodong Peninsula and provide a scientific basis for ecological environment governance and sustainable development in the region, this study evaluates the EEQ of Jiaodong using the Remote Sensing-based Ecological Index (RSEI) model and analyzes its spatiotemporal evolution patterns, building upon single-factor correlation analysis using the Random Sample Consensus (RANSAC) algorithm, using GeoDetector to analyze the driving mechanisms of human activities and natural factors in EEQ. The results indicate the following: (1) The average RSEI values for 2000, 2010, and 2020 are 0.60, 0.57, and 0.66, with Good or Excellent areas accounting for 56.48%, 51.02%, and 67.17%. From 2000 to 2020, RSEI strong improvement areas were predominantly distributed in the eastern hilly areas of the Jiaodong Peninsula. The RSEI of the Jiaodong Peninsula showed significant spatial autocorrelation. (2) The RANSAC algorithm effectively reduces noise interference in remote sensing data, thereby improving the accuracy of single-factor correlation analysis. (3) In 2000, the importance of natural factors exceeds that of human activity factors. The Standardized Precipitation Evapotranspiration Index (SPEI) is the most important driving factor; while in 2010 and 2020, human activity factors surpass natural factors in importance, with the Land Use Composite Index (LUCI) being the most significant driving factor. The driving factors exhibited double-factor and nonlinear enhancement. The most significant interaction factors affecting the EEQ of the Jiaodong Peninsula in 2000, 2010, and 2020 are SPEI∩GDP, LUCI∩SPEI, and LUCI∩GDP.

A Real-Time Monitoring Method for Selective Laser Melting of TA1 Materials Based on Radiation Detection of a Molten Pool.

Selective laser melting (SLM) technology is a promising additive manufacturing technology. However, due to the numerous influencing factors in this complex process, a reliable real-time method is needed to monitor the forming process of SLM. The molten pool is the smallest forming unit in the SLM process, the consistency of which can effectively reflect the quality of the printing process. By using a coaxial optical path structure and a compound amplifier circuit, high-speed acquisition of molten pool radiation can be realized. Next, single factor analysis and orthogonal experimentation were used to investigate the influence levels of key process parameters on the radiation of molten pool. In addition, numerical simulation was carried out with the same parameter setting schemes, the results of which are consistent with those in radiation detection experiments. It is shown that the laser power has the greatest effect on the radiation of the molten pool, while the scanning speed and the hatch spacing have little effect on the radiation. Finally, the positioning experiment involving the small hole structure was carried out, and the experimental results showed that the device could accurately locate the position coordinates of the given hole structure.

Prediction analysis of TBI 24-h survival outcome based on machine learning

BackgroundTraumatic brain injury (TBI) is the major reason for the death of young people and is well known for its high mortality and morbidity. This paper aim to predict the 24h survival of patients with TBI. MethodsA total of 1224 samples were involved in this analysis, and the clinical indicators involved included age, gender, blood pressure, MGAP and other fields, among which the target variable was “outcome”, which was a binary variable. The methods mainly involved in this paper include data visualization analysis, single factor analysis, feature engineering analysis, random forest model (RF), K-Nearst Neighbors (KNN) model, and so on. Logistic regression model (LR) and deep neural network model (DNN). We will oversample the training set using the SMOTE method because of the very unbalanced labeling of the sample itself. ResultsAlthough the accuracy of all models is very high, the recall rate is relatively low. The DNN model with the best performance only reaches 0.17, and the corresponding AUC is 0.80. After resampling, we find that the recall rate of positive samples of all models has increased a lot, but the AUC of some models has decreased. Finally, the optimal model is LR, whose positive sample recall rate is 0.67 and AUC is 0.82. ConclusionThrough resampling, we obtained that the best model is the RF model, whose recall rate and AUC are the best, and the AUC level is about 0.87, indicating that the accuracy performance of the model is still good.

Pathogenic spectrum and risk factors of peritoneal dialysis-associated peritonitis: a single-center retrospective study

The present study aimed to explore the pathogenic spectrum and risk factors of peritoneal dialysis-associated peritonitis (Peritoneal dialysis associated peritonitis, PDAP) in Yongzhou, Hunan, China. The clinical and epidemiological data on regular peritoneal dialysis (Peritoneal dialysis, PD) between January 2016 and December 2020 in Yongzhou were collected for retrospective analysis. The related factors of peritonitis were evaluated by single-factor analysis, while risk factors of refractory PDAP were evaluated by multivariate logistic regression analysis.172/331 172 (51.9%) patients developed peritonitis. The risk factors of PDAP in PD patients included high C-reactive protein (C-reactive protein, CRP), low albumin(Albumin, ALB), low hemoglobin (Hemoglobin, Hb), low educational level (junior high school or lower), preference of spicy food, irregular diet, low annual household income, unfavorable fluid exchange conditions, unstable employment (including working as a farmer), and unfavorable humidity conditions (P < 0.05). 63/172 (36.6%) PDAP patients were intractable cases with a pathogenic bacteria positive rate of 74.60% in the peritoneal dialysate cultures, and 109/172 patients were non-intractable cases with a pathogenic bacteria positive rate of 53.21%. Gram-positive bacteria (G+) were detected in most of the dialysate cultures, with Staphylococcus epidermidis (S. epidermidis) as the most common type, while Escherichia coli (E. coli) was the most common Gram-negative bacteria (G-). Gram-positive bacteria were sensitive to vancomycin and linezolid, while G- bacteria were sensitive to imipenem and amikacin. Lifestyle, educational level, and environmental factors are the major contributors to PDAP in PD patients. Fungal and multi-bacterial infections are the major causes of death; PD is stopped for such patients.

Early predictors of delayed radiographic resolution of lobar pneumonia caused by Mycoplasma pneumoniae in children: a retrospective study in China.

Lobar pneumonia caused by Mycoplasma pneumoniae is a relatively difficult-to-treat pneumonia in children. The time of radiographic resolution after treatment is variable, a long recovery time can result in several negative effects, and it has attracted our attention. Therefore, exploring factors associated with delayed radiographic resolution will help to identify these children at an early stage and prepare for early intervention. The data of 339 children with lobar pneumonia caused by Mycoplasma pneumoniae were collected from the Department of Pediatrics of Fu Yang People's Hospital, China from January 2021 to June 2022. After discharge, the children were regularly followed up in the outpatient department and on the WeChat platform for > 8 weeks. According to whether pulmonary imaging (chest radiography or plain chest computed tomography) returned to normal within 8 weeks, the children were divided into the delayed recovery group (DRG) (n = 69) and the normal recovery group (NRG) (n = 270). The children's general information, laboratory examination findings, bronchoscopy results, and imaging findings were retrospectively analyzed. Single-factor analysis was performed to identify the risk factors for delayed radiographic resolution of lobar pneumonia caused by Mycoplasma pneumoniae, and the factors with statistically significant differences underwent multiple-factor logistic regression analysis. Receiver operating characteristic (ROC) analysis was then performed to calculate the cutoff value of early predictive indicators of delayed radiographic resolution. Single-factor analysis showed that the following were significantly greater in the DRG than NRG: total fever duration, the hospitalization time, C-reactive protein (CRP) level, lactate dehydrogenase (LDH) level, D-dimer level, pulmonary lesions involving two or more lobes, a large amount of pleural effusion, the time to interventional bronchoscopy, and mucus plugs formation. Multivariate logistic regression analysis showed that the hospitalization time, CRP level, LDH level, pulmonary lesions involving two or more lobes, and a large amount of pleural effusion were independent risk factors for delayed radiographic resolution of lobar pneumonia caused by Mycoplasma pneumoniae. The cutoff values on the receiver operating characteristic curve were a hospitalization time of ≥ 10.5 days, CRP level of ≥ 25.92mg/L, and LDH level of ≥ 378 U/L. If patients with lobar pneumonia caused by Mycoplasma pneumoniae have a hospitalization time of ≥ 10.5 days, CRP level of ≥ 25.92mg/L, and LDH level ≥ 378 U/L, the time of radiographic resolution is highly likely to exceed 8 weeks. Pediatricians must maintain a high level of vigilance for these factors, control the infection as early as possible, strengthen airway management, and follow up closely to avoid complications and sequelae of Mycoplasma pneumoniae pneumonia.

Platelet-lymphocyte ratio as a predictor of lymph node metastasis in small bowel cancer.

The purpose of this research was to investigate the potential predictive value of preoperative systemic inflammatory indexes in identifying lymph node metastasis among patients diagnosed with small bowel cancer. A retrospective analysis of clinical data was conducted on small bowel cancer patients who underwent surgical treatment at the gastrointestinal surgery department of our hospital between January 2010 and June 2021. Patients were divided into groups based on the presence or absence of lymph node metastasis as confirmed by postoperative pathological results. The study compared the differences in preoperative inflammatory indexes and clinical data between the two groups using single factor analysis and multifactorial Logistic regression analysis. Furthermore, a nomogram model for predicting lymph node metastasis in colorectal cancer was constructed using R software and internally validated. The study sample consisted of 140 small bowel cancer patients,postoperative pathology confirmed lymph node metastasis in 72 cases. Univariate analysis results indicated associations between preoperative inflammatory indexes and clinical data with lymph node metastasis in small bowel cancer. Multifactorial logistic regression analysis revealed that gender, PLR, number of lymph node dissection, and lymphovascular invasion independently influenced lymph node metastasis in small bowel cancer patients. The developed nomogram model demonstrated a C-index of 0.855 (95% CI 0.792-0.917), with a calibrated prediction curve closely resembling the ideal curve. An elevated PLR is an independent risk factor for LNM in patients with small bowel cancer.

Novel hybrid chemical magnetorheological fluid for polishing Ti–6Al–4V alloy

ABSTRACT This study presents a highly efficient chemical and magnetorheological fluid (C-MRF) hybrid polishing process established by using an eco-friendly slurry of malic acid, Fe3O4–SiO2 abrasive particles, and hydrogen peroxide (H2O2) as an oxidant, all mixed with purified water, highlighting its efficacy in a wide range of polishing applications. Herein, the polishing processes of Ti–6Al–4V alloy utilizing C-MRF with on Fe3O4–SiO2 abrasives are detailed, and the polishing performance is assessed by investigating the influence of oxidizing agent H2O2 and acid malic to the surface finish of the Ti–6Al–4V alloy. The linear variable magnetic field by improved Halbach array was proposed to improve the material removal rate and surface quality and create a polishing process with a highly efficient magnetic field source. Single-factor and orthogonal experimental analysis methods are applied to provide the technological parameters factors with varying influences on surface quality and material removal ability.

Captivity Shifts Gut Microbiota Communities in Plateau Zokor (Eospalax baileyi).

The gut microbiota in animals is a dynamic ecosystem influenced by both the host itself and the environment it inhabits. It is known that short-term captivity can significantly impact the gut microbiota of plateau zokors, leading to substantial inter-individual variation. However, the specific changes in the assembly process of the gut microbiota in plateau zokors during captivity remain unclear. In this study, we conducted a comparative analysis on the assembly process of the gut microbiota in 22 male plateau zokors from the same location in Qinglin Township, Datong County, Qinghai Province, before (W) and after (L) laboratory rearing. We performed a single-factor correlation network analysis on the top 50 genera with relative abundance in each group. The results revealed that captivity increased the complexity of the gut microbiota in plateau zokors, indicating a higher number of interactions between different microbial species. However, this increase in complexity was accompanied by a decrease in stability, suggesting a higher degree of variability and potential disruption in the microbial community. According to the results of the neutral community model, the gut microbiota of plateau zokors in the W had a higher Nm value (Nm = 48,135) compared to the L (Nm = 39,671), indicating that species dispersal of the gut microbiota was greater in the wild than in captivity. In the wild, the modified stochasticity ratio (MST) was less than 0.5, suggesting that deterministic processes dominated. However, after 15 days of laboratory rearing, the MST became greater than 0.5, indicating a shift toward stochastic processes, and this difference was highly significant (p < 0.001). This differs from research related to aboveground animals. This study provides theoretical support for the application of gut microbiota in subterranean endangered species.

An online survey on public awareness of drug clinical trials in inland cities of northern China.

The aims of this survey were to investigate the public awareness of drug clinical trials (DCTs) and willingness to participate the DCTs, and provide references for propaganda and science popularization of DCTs. A self-designed questionnaire named "an online survey questionnaire on public awareness of DCTs" was used to conduct an online survey from January to March 2022. The demographic characteristics and the response of participants to the awareness and willingness to participate the DCTs were collected. The factors affecting the public awareness of DCTs were analyzed by single factor and binary logistic regression analysis. One thousand three hundred eighty valid questionnaires were collected, and the respondents' awareness rate of DCTs was 61.1%. Thirteen demographic characteristics including age, gender, education, occupation, work fields, household type, marital status, city type, income, medical insurance, medical expenditure, pressure to seek medical care, financial pressure, both significantly affected the qualified rate of participants' awareness of DCTs (p < 0.001) by single factor analysis. Binary logistic regression analysis indicated that education level, work fields, city type, medical insurance, and medical expenditure affected independently the participants' awareness rate of DCTs (p < 0.001). 52.9% of the participants were willing to take part in DCTs. "to promote medical progress" (54.4%) or "believe doctors" (31.1%) were the most frequent reasons for subjects participating in DCTs. The public awareness rate of DCTs and the willingness to participate in drug clinical were significantly affected by the demographic characteristics of subjects. Thus, targeting the needs of the public, propaganda, and science popularization of DCTs should be carried out and served public health.