Differentiating the associations of passive and active social media use with e-cigarette use among U.S. youth.

PURPOSE: The impacts of passive (i.e., browsing) versus active (i.e., engagement) use of social media on e-cigarette use among youth have been understudied in existing literature. This study examines how passive and active use of social media are differentially associated with e-cigarette use among youth and how risk perceptions mediate these associations. METHODS: Pooled data from the 2021 and 2022 National Youth Tobacco Survey (N=48,704, aged 11-19) were used. Weighted structural equation models were employed to estimate the associations between passive and active social media use and youth e-cigarette use. RESULTS: Both passive and active social media use were associated with higher odds and more days of e-cigarette use among youth. E-cigarette risk perceptions mediated the associations between active use and both the likelihood of ever using e-cigarettes and the number of days of use. Risk perceptions mediated the association between active, but not passive, use and the number of days of e-cigarette use. Compared to passive use, active use was overall associated with higher odds and more days of youth e-cigarette use. DISCUSSION: The findings suggest that public health efforts should distinguish between passive and active social media use when designing and executing interventions. Attention and efforts should also be directed towards understanding the distinct indirect effects of passive and active social media use through risk perceptions. These findings advance our theoretical understanding of the role of different types of social media use and offer significant practical insights for interventions.

Adipocytes impact on gastric cancer progression: Prognostic insights and molecular features.

BACKGROUND: Adipocytes, especially adipocytes within tumor tissue known as cancer-associated adipocytes, have been increasingly recognized for their pivotal role in the tumor microenvironment of gastric cancer (GC). Their influence on tumor progression and patient prognosis has sparked significant interest in recent research. The main objectives of this study were to investigate adipocyte infiltration, assess its correlation with clinical pathological features, develop a prognostic prediction model based on independent prognostic factors, evaluate the impact of adipocytes on immune cell infiltration and tumor invasiveness in GC, and identify and validate genes associated with high adipocyte expression, exploring their potential diagnostic and prognostic value. AIM: To explore the relationship between increased adipocytes within tumor tissue and prognosis in GC patients as well as the associated mechanisms and potential biomarkers, using public databases and clinical data. METHODS: Using mRNA microarray datasets from the Gene Expression Omnibus database and clinical samples from Jiangsu Provincial Hospital, survival and regression analyses were conducted to determine the relevant prognostic factors in GC. Feature gene selection was performed using least absolute shrinkage and selection operator and support vector machine recursive feature elimination algorithms, followed by differential gene expression analysis, gene ontology, pathway analysis, and Gene Set Enrichment Analysis. Immune cell infiltration was analyzed using the CIBERSORT algorithm. RESULTS: Tumor adipocyte infiltration correlated with poor prognosis in GC, leading to the development of a highly accurate and discriminative prognostic prediction model. Key genes, ADH1B, SFRP1, PLAC9, and FABP4, were identified as associated with high adipocyte expression in GC. The diagnostic and prognostic potential of these identified genes was validated using independent datasets. Downregulation of immune cells was observed in GC with high adipocyte expression. CONCLUSION: GC with high intratumoral adipocyte expression demonstrated aggressive tumor biology and a poorer prognosis. The genes ADH1B, SFRP1, PLAC9, and FABP4 have been identified as holding diagnostic and prognostic significance in GC. These findings strongly support the use of adipocyte expression as a valuable indicator of tumor invasiveness and anticipated patient outcomes in GC.

Effect of Interval Between Neoadjuvant Chemotherapy and Surgery on Oncological Outcomes in Poor Responders With Locally Advanced Breast Cancer.

PURPOSE: The interval between neoadjuvant chemotherapy (NAC) and surgery for locally advanced breast cancer (LABC) remains controversial. At the same time, the prognostic effect of delayed surgery in patients with poor responses is currently unclear. METHODS: Data was collected from patients who had poor responses to NAC and underwent modified radical surgery from January 2013 to December 2018. The interval from completion of NAC to surgery was divided into two groups: a longer (greater than four weeks) or shorter (four weeks or less) interval. The associations of these interval groups with overall survival (OS) and recurrence-free survival (RFS) were evaluated by multivariable Cox models adjusting for the existing prognostic factors. Propensity score matching (PSM) was used to minimize election bias. RESULTS: A total of 1,229 patients (mean age, 47.2 ± 8.9 years; median follow-up duration, 32.67 [6.57-52.63] months) were included. The 5-year OS rates were 73.2% and 60.8% in the shorter (n = 171) and longer interval group (n = 1,058), respectively, while the 3-year RFS rates were 80.8% and 71.7%, respectively. In multivariate Cox analysis, the longer interval was associated with an increased risk of mortality (hazard ratio [HR], 1.43; 95% confidence interval [CI], 1.01-2.02; p = 0.046) and recurrence (HR, 1.50; 95% CI, 1.12-1.99; p = 0.006). There was an interaction between the molecular subtype and the surgery interval for OS (pinteraction = 0.014) and RFS (pinteraction = 0.027). After PSM, no significant difference in OS (p = 0.180) and RFS (p = 0.069) was observed between the two groups. CONCLUSION: Among LABC patients with a poor response, those with a longer interval between NAC and surgery had worse OS and RFS. The results indicate that these patients should receive modified radical surgery timely, which may in turn improve their prognosis.

Association between fitness technology use and physical activity mediated by communication behaviors on social media.

Objective: Fitness technologies, such as smartphone applications and wearable tracking devices, have gained widespread popularity. This study had two main objectives: 1) to examine whether fitness technology use is associated with increased physical activity (PA) levels and 2) to investigate whether communication behaviors on social media mediated the association between fitness technology use and PA. Methods: Data were from the U.S. Health Information National Trends Survey 2022 (N = 6,252, weighted N = 258,418,467). Weighted linear regressions were conducted to examine the associations between fitness technology usage, physical activities, and communication behaviors on social media. Mediations were tested using PROCESS macro, a path-analysis based tool. Results: Controlling for demographic and other known influences on PA, the findings revealed that users of fitness technology reported higher levels of both moderate PA (ß = .41, p < 0.001) and strength training (ß = .29, p < 0.001). Additionally, communication behaviors (i.e., sharing personal health information on social media and watching health-related videos on social media) mediated the relationship between fitness technology use and frequencies of strength training. Conclusion: The results underscored the potential of fitness technologies in enhancing PA levels through promoting communication behaviors on social media.

The experience of fertility concerns in patients with testicular cancer: a qualitative study.

BACKGROUND: Testicular cancer usually occurs in young adult men between the ages of 20 and 40 years, which largely coincides with the age of men's reproductive intentions. However, a serious side effect of testicular cancer therapy could reduce the fertility of patients. PURPOSE: To explore the experience of fertility concerns in patients with testicular cancer. METHODS: A phenomenological research was conducted on 12 patients with testicular cancer. Data collection was from May 2023 to August 2023, and Colaizzi analysis method was used to analyze the data. RESULTS: Four themes were found: (1) multiple worries and negative emotions, (2) fertility decision-making faces many challenges, (3) self-coping strategies for facing fertility concerns, (4) unmet supportive care needs. CONCLUSION: Medical staff should pay attention to the fertility needs of patients with testicular cancer and provide relevant interventions and support to reduce their fertility concerns.

Evolutionary adaptation of KPC-2-producing Pseudomonas aeruginosa high-risk sequence type 463 in a lung transplant patient.

OBJECTIVES: KPC-2-producing Pseudomonas aeruginosa high-risk sequence type (ST) 463 is increasingly prevalent in China and poses severe threats to public health. In this study, we aimed to investigate within-host adaptive evolution of this clone during therapy. METHODS: Using nine serial respiratory isolates from a post-lung transplantation patient undergoing multiple antibiotic treatments, we conducted genomic, transcriptomic and phenotypic analyses to uncover the adaptive mechanisms of a KPC-2-producing ST463 P. aeruginosa strain. RESULTS: The early-course isolates exhibited low-level resistance to ceftazidime/avibactam (CZA), facilitated by the blaKPC-2 gene's presence on both chromosome and plasmid, and its overexpression. Comparative genomic analysis revealed that chromosomal integration of blaKPC-2 resulted from intracellular replicative transposition of the plasmid-derived IS26-blaKPC-2-IS26 composite transposon. As the infection progressed, selective pressures, predominantly from antibiotic interventions and host immune response, led to significant genomic and phenotypic changes. The late-course isolates developed a Δ242-GT-243 deletion in plasmid-encoded blaKPC-2 (blaKPC-14) after sustained CZA exposure, conferring high-level CZA resistance. Increased expression of pili and extracellular polysaccharides boosted biofilm formation. A D143N mutation in the global regulator vfr rendered the strain aflagellate by abrogating the ability of fleQ to positively regulate flagellar gene expression. The enhancement of antibiotic resistance and immune evasion collaboratively facilitated the prolonged survival of ST463 P. aeruginosa within the host. CONCLUSIONS: Our findings highlight the remarkable capacity of ST463 P. aeruginosa in adapting to the dynamic host pressures, supporting its persistence and dissemination in healthcare.

Dynamic Fear in Fear Appeals: Applying Fear Appeals to Environmental Communication in China.

This study investigates the role of dynamic fear in the effectiveness of communicating health threats (i.e. fear appeals) of ground-level ozone among Chinese citizens. An online survey revealed that fear appeal messages effectively enhance the audience's risk perceptions, efficacy beliefs, and acceptance of the message. Crucially, dynamic fear reduction process positively predicts engagement in protective behaviors (i.e. danger control process) and negatively predicts engagement in fear control processes, such as message denial. Presenting severity before susceptibility resulted in a more positive attitude toward the message recommendation. These findings highlight that communicating health-threats about climate pollution is effective in raising awareness and motivating protective behaviors. Furthermore, our study underscores the importance of dynamic fear, specifically fear reduction, in increasing fear appeals' effectiveness in communicating climate issues from a health perspective.

Exposure to user-generated e-cigarette content on social media associated with greater vulnerability to e-cigarette use among youth non-users.

INTRODUCTION: Social media are important venues for youth's exposure to e-cigarette content. This study examined how exposure to user-generated e-cigarette content (i.e., content created and shared by individual social media users) is associated with vulnerabilities to e-cigarette use among youth non-users. METHODS: We pooled data from the 2021 and 2022 National Youth Tobacco Survey. Youth who have never used e-cigarettes were included. Weighted linear and logistic regressions were conducted to examine how exposure to user-generated e-cigarette content (from real-life friends, online-only friends, and celebrities/influencers) on social media was associated with e-cigarette use vulnerabilities measured by perceived norms, perceived risk, and susceptibility of use, controlling for demographics, advertising exposure, and mental health conditions. Multiple imputations were performed to account for missing data. RESULTS: Exposure to e-cigarette content on social media posted by real-life friends, online-only friends, and celebrities/influencers were associated with more positive descriptive norm (ßs = 1.56, 0.37, and 0.35, respectively, all ps < .001), more positive injunctive norm (ßs = 0.46, 0.19, and 0.10, respectively, all ps < .001), and higher odds of e-cigarette use susceptibility (ORs = 1.48, 1.50. 1.29, respectively, all ps < .001). Exposure to content posted by real-life and online-only friends were associated with reduced risk perception of e-cigarette use (ß = -0.04, p < 0.05 and ß = -0.07, p < 0.001). CONCLUSIONS: Our study highlighted that friends and celebrities/influencers are important sources on social media that can influence youth non-users' vulnerabilities to e-cigarette use. Interventional messages communicated through friends and influencers on social media may in turn help reduce e-cigarette vulnerability among youth non-users.

A preliminary study on the normal values of the thoracic Haller index in children.

OBJECTIVES: The Haller index (HI) is widely utilized as a quantitative indicator to assess the extent of the pectus excavatum (PE) deformity, which is the most common chest wall abnormality in children. Both preoperative correction planning and postoperative follow-up need to be based on the standard of normal thoracic growth and development. However, there is currently no established reference range for the HI in children. Consequently, the goal of this study was to conduct a preliminary investigation of normal HI values among children to understand thoracic developmental characteristics. METHODS: Chest computed tomography images obtained from January 2012 to March 2022 were randomly selected from the imaging system of the Children's Hospital of Chongqing Medical University. We divided the images of children into a total of 19 groups: aged 0-3 months (1 group), 4-12 months (1 group) and 1 year to 17 years (17 groups), with 50 males and 50 females, totaling 100 children in each group. HI was measured in the plane where the lowest point of the anterior thoracic wall was located and statistically analysed using SPSS 26.0 software. RESULTS: A total of 1900 patients were included in the study. Our results showed that HI, transverse diameter and anterior-posterior diameter were positively correlated with age (P < 0.05). Using age as the independent variable and HI as the dependent variable, the best-fit regression equations were HI-male = 2.047 * Age0.054(R2 = 0.276, P<0.0001) and HI-female = 2.045 * Age0.067(R2 = 0.398, P<0.0001). Males had significantly larger thoracic diameters than females, and there was little difference in the HI between the 2 sexes. CONCLUSIONS: The HI rapidly increases during the neonatal period, slowly increases during infancy and stops increasing during puberty, with no significant differences between the sexes.

No prognostic impact of staging bone scan in patients with stage IA non-small cell lung cancer.

OBJECTIVE: To investigate the survival benefit of preoperative bone scan in asymptomatic patients with early-stage non-small cell lung cancer (NSCLC). METHODS: This retrospective study included patients with radical resection for stage T1N0M0 NSCLC between March 2013 and December 2018. During postoperative follow-up, we monitored patient survival and the development of bone metastasis. We compared overall survival, bone metastasis-free survival, and recurrence-free survival in patients with or without preoperative bone scan. Propensity score matching and inverse probability of treatment weighting were used to minimize election bias. RESULTS: A total of 868 patients (58.19 ± 9.69 years; 415 men) were included in the study. Of 87.7% (761 of 868) underwent preoperative bone scan. In the multivariable analyses, bone scan did not improve overall survival (hazard ratio [HR] 1.49; 95% confidence intervals [CI] 0.91-2.42; p = 0.113), bone metastasis-free survival (HR 1.18; 95% CI 0.73-1.90; p = 0.551), and recurrence-free survival (HR 0.89; 95% CI 0.58-1.39; p = 0.618). Similar results were obtained after propensity score matching (overall survival [HR 1.28; 95% CI 0.74-2.23; p = 0.379], bone metastasis-free survival [HR 1.00; 95% CI 0.58-1.72; p = 0.997], and recurrence-free survival [HR 0.76; 95% CI 0.46-1.24; p = 0.270]) and inverse probability of treatment weighting. CONCLUSION: There were no significant differences in overall survival, bone metastasis-free survival, and recurrence-free survival between asymptomatic patients with clinical stage IA NSCLC with or without preoperative bone scan.

Risk factor and correlation between postoperative serum myoglobin and acute kidney injury after pulmonary endarterectomy.

Background: Acute kidney injury (AKI) is a common and life-threatening complication following pulmonary endarterectomy (PEA). Our study aimed to investigate the risk factors associated with AKI and evaluate the correlation between serum myoglobin (sMb) levels and postoperative AKI. Methods: We conducted a retrospective study involving 134 patients who underwent PEA at China-Japan Friendship Hospital. AKI was defined and staged according to the Kidney Disease Improving Global Outcomes (KDIGO) criteria. Results: During the study period, the incidence of postoperative AKI was 57.5%, and the associated mortality rate was 6.0%. Severe AKI was found to be significantly associated with worse short-term outcomes (P<0.05). Logarithmically transformed postoperative day (POD) 0 sMb levels were significantly associated with AKI [odds ratio (OR) =5.174; 95% confidence interval (CI), 2.307-11.603; P<0.001] and severe AKI (OR =4.605; 95% CI, 1.510-14.048; P=0.007), also had independent predictive value [area under the curve (AUC) =0.776 in AKI and AUC =0.737 in severe AKI]. The optimal cut-off values were 370.544 ng/mL for AKI and 419.473 ng/mL for severe AKI. Furthermore, albumin concentration was found to play a protective role in the development of severe AKI (OR =0.838; 95% CI, 0.716-0.980; P=0.027) when higher than 40.350 g/L. Conclusions: Our findings suggest that a high concentration of POD0 sMb may increase the risk of developing AKI following PEA surgery. Increasing albumin concentration could serve as an effective preventive measure against AKI.

Efficacy of ceftazidime-avibactam in the treatment of carbapenem-resistant Klebsiella pneumoniae infections: Focus on solid organ transplantation recipients.

INTRODUCTION: Ceftazidime-avibactam (CAZ-AVI) is a new option to treat KPC- and OXA-48 carbapenem-resistant Klebsiella pneumoniae (CRKP) infections. However, clinical evidence is limited regarding its use in treating CRKP infections, especially in solid organ transplantation (SOT) recipients. In this study, we assessed the efficacy of CAZ-AVI in treating CRKP infections in both the general population and the SOT recipients in comparison with other antibiotic regimens. METHODS: This is a single-centre retrospective cohort study of patients admitted between January 1, 2018 and June 30, 2021 with the diagnosis of CRKP infections receiving either CAZ-AVI or other regimens ≥ 72 hours and clinical outcomes were analysed. RESULTS: Of 200 patients with CRKP infections, 67 received CAZ-AVI, 133 received other regimens, and 50 were SOT recipients. In the SOT cohort, 30 patients received CAZ-AVI, and 20 received other regimens. The overall 30-day mortality was 38% in the SOT cohort. Compared with patients receiving other regimens, CAZ-AVI therapy resulted in lower 30-day mortality (23.3% vs. 60%, P = 0.014) and 90-day mortality (35.7% vs. 86.7%, P = 0.003), higher clinical cure (93.3% vs. 40%, P < 0.001) and microbiological clearance. Similar promising results of CAZ-AVI were also shown in the whole population cohort. Moreover, clinical outcomes of SOT recipients receiving CAZ-AVI were not inferior to those without SOT. CONCLUSIONS: CAZ-AVI therapy was associated with better clinical outcomes in CRKP infections in both the general population and SOT recipients. Considering the limitations of the present study, well-conducted RCTs are still warranted to confirm these findings.

Characterization of a Novel Hyperthermophilic GH1 ß-Glucosidase from Acidilobus sp. and Its Application in the Hydrolysis of Soybean Isoflavone Glycosides.

A putative ß-glucosidase gene, BglAc, was amplified from Acidilobus sp. through metagenome database sampling from a hot spring in Yellowstone National Park. BglAc is composed of 485 amino acid residues and bioinformatics analysis showed that it belongs to the GH1 family of ß-glucosidases. The gene was successfully expressed in Escherichia coli with a molecular weight of approximately 55.3 kDa. The purified recombinant enzyme showed the maximum activity using p-nitrophenyl-ß-D-glucopyranoside (pNPG) as the substrate at optimal pH 5.0 and 100 °C. BglAc exhibited extraordinary thermostability, and its half-life at 90 °C was 6 h. The specific activity, Km, Vmax, and Kcat/Km of BglAc toward pNPG were 357.62 U mg-1, 3.41 mM, 474.0 µmol min-1·mg-1, and 122.7 s-1mM-1. BglAc exhibited the characteristic of glucose tolerance, and the inhibition constant Ki was 180.0 mM. Furthermore, a significant ethanol tolerance was observed, retaining 96% relative activity at 10% ethanol, and even 78% at 20% ethanol, suggesting BglAc as a promising enzyme for cellulose saccharification. BglAc also had a strong ability to convert the major soybean isoflavone glycosides (daidzin, genistin, and glycitin) into their corresponding aglycones. Overall, BglAc was actually a new ß-glucosidase with excellent thermostability, ethanol tolerance, and glycoside hydrolysis ability, indicating its wide prospects for applications in the food industry, animal feed, and lignocellulosic biomass degradation.

Chirality-selective topological magnon phase transition induced by interplay of anisotropic exchange interactions in honeycomb ferromagnet.

A variety of distinct anisotropic exchange interactions commonly exist in one magnetic material due to complex crystal, magnetic and orbital symmetries. Here we investigate the effects of multiple anisotropic exchange interactions on topological magnon in a honeycomb ferromagnet, and find a chirality-selective topological magnon phase transition induced by a complicated interplay of Dzyaloshinsky-Moriya interaction and pseudo-dipolar interaction, accompanied by the bulk gap close and reopen with chiral inversion. Moreover, this novel topological phase transition involves band inversion at high symmetry pointsKandK', which can be regarded as a pseudo-orbital reversal, i.e. magnon valley degree of freedom, implying a new manipulation corresponding to a sign change of the magnon thermal Hall conductivity. Indeed, it can be realized in 4dor 5dcorrelated materials with both spin-orbit coupling and orbital localized states, such as iridates and ruthenates,etc.This novel regulation may have potential applications on magnon devices and topological magnonics.

Characterization of bacterial diversity and screening of cellulose-degrading bacteria in the gut system of Glenea cantor (Fabricius) larvae.

The intestinal bacteria of longhorn beetles would be ideal targets for pest control and lignocellulosic resources by destroying or exploiting their cellulose-degrading function. This article aims to investigate the diversity and community structure of intestinal bacteria the oligophagous longhorn beetle Glenea cantor. Additionally, it seeks to identify the presence of lignocellulose-degrading bacteria in the gut, and explore their role in consuming host kapok trees Bombax malabaricum. In this study, the bacterial community from G. cantor was examined by Illumina sequencing of 16S ribosomal RNA (rRNA) targeting the V3 and V4 regions. A total of 563,201 valid sequences and 814 OTUs were obtained. The dominant phyla were Proteobacteria, and the dominant genera were Acinetobacter and Lactococcus. The analysis of microbial diversity revealed a high bacterial diversity in the samples, with the gut bacteria playing a crucial role in the physiological activities of the host, particularly, 9 genera of intestinal bacteria with cellulose degradation function were found, highlighting their vital role in cellulose degradation. Five strains of cellulose-degrading bacteria, belonging to the genus Pseudomonas, were obtained from the intestinal tract of G. cantor larvae using traditional isolation and culture techniques as well as 16S rDNA sequencing. Among these strains, A4 exhibited a cellulase activity of 94.42 ± 0.42 U/mL, while A5 displayed the highest filter paper enzyme activity of 127.46 ± 3.54 U/mL. These results offered valuable insights into potential targets for pest control through internal attack digestion and cellulose-degrading bacteria in longhorn beetles.

Moisture content online detection system based on multi-sensor fusion and convolutional neural network.

To monitor the moisture content of agricultural products in the drying process in real time, this study applied a model combining multi-sensor fusion and convolutional neural network (CNN) to moisture content online detection. This study built a multi-sensor data acquisition platform and established a CNN prediction model with the raw monitoring data of load sensor, air velocity sensor, temperature sensor, and the tray position as input and the weight of the material as output. The model's predictive performance was compared with that of the linear partial least squares regression (PLSR) and nonlinear support vector machine (SVM) models. A moisture content online detection system was established based on this model. Results of the model performance comparison showed that the CNN prediction model had the optimal prediction effect, with the determination coefficient (R2) and root mean square error (RMSE) of 0.9989 and 6.9, respectively, which were significantly better than those of the other two models. Results of validation experiments showed that the detection system met the requirements of moisture content online detection in the drying process of agricultural products. The R2 and RMSE were 0.9901 and 1.47, respectively, indicating the good performance of the model combining multi-sensor fusion and CNN in moisture content online detection for agricultural products in the drying process. The moisture content online detection system established in this study is of great significance for researching new drying processes and realizing the intelligent development of drying equipment. It also provides a reference for online detection of other indexes in the drying process of agricultural products.

Quality and Process Optimization of Infrared Combined Hot Air Drying of Yam Slices Based on BP Neural Network and Gray Wolf Algorithm.

In this paper, the effects on drying time (Y1), the color difference (Y2), unit energy consumption (Y3), polysaccharide content (Y4), rehydration ratio (Y5), and allantoin content (Y6) of yam slices were investigated under different drying temperatures (50-70 °C), slice thicknesses (2-10 mm), and radiation distances (80-160 mm). The optimal drying conditions were determined by applying the BP neural network wolf algorithm (GWO) model based on response surface methodology (RMS). All the above indices were significantly affected by drying conditions (p < 0.05). The drying rate and effective water diffusion coefficient of yam slices accelerated with increasing temperature and decreasing slice thickness and radiation distance. The selection of lower temperature and slice thickness helped reduce the energy consumption and color difference. The polysaccharide content increased and then decreased with drying temperature, slice thickness, and radiation distance, and it was highest at 60 °C, 6 mm, and 120 mm. At 60 °C, lower slice thickness and radiation distance favored the retention of allantoin content. Under the given constraints (minimization of drying time, unit energy consumption, color difference, and maximization of rehydration ratio, polysaccharide content, and allantoin content), BP-GWO was found to have higher coefficients of determination (R2 = 0.9919 to 0.9983) and lower RMSEs (reduced by 61.34% to 80.03%) than RMS. Multi-objective optimization of BP-GWO was carried out to obtain the optimal drying conditions, as follows: temperature 63.57 °C, slice thickness 4.27 mm, radiation distance 91.39 mm, corresponding to the optimal indices, as follows: Y1 = 133.71 min, Y2 = 7.26, Y3 = 8.54 kJ·h·kg-1, Y4 = 20.73 mg/g, Y5 = 2.84 kg/kg, and Y6 = 3.69 µg/g. In the experimental verification of the prediction results, the relative error between the actual and predicted values was less than 5%, proving the model's reliability for other materials in the drying technology process research to provide a reference.

Plasma campesterol and ABCG5/ABCG8 gene loci on the risk of cholelithiasis and cholecystitis: evidence from Mendelian randomization and colocalization analyses.

The causal relationships between plasma metabolites and cholelithiasis/cholecystitis risks remain elusive. Using two-sample Mendelian randomization, we found that genetic proxied plasma campesterol level showed negative correlation with the risk of both cholelithiasis and cholecystitis. Furthermore, the increased risk of cholelithiasis is correlating with the increased level of plasma campesterol. Lastly, genetic colocalization study showed that the leading SNP, rs4299376, which residing at the ABCG5/ABCG8 gene loci, was shared by plasma campesterol level and cholelithiasis, indicating that the aberrant transportation of plant sterol/cholesterol from the blood stream to the bile duct/gut lumen might be the key in preventing cholesterol gallstone formation.

Coupling analysis of crane accident risks based on Bayesian network and the N-K model.

Crane usage is pervasive on construction sites, however, it is associated with a notably high accident rate. The analyzing of crane accident risks is essential for accident prevention, control, and ensuring the safety of lifting operations. Hence, significant emphasis should be placed on understanding the interaction among various risk factors. This paper proposes a quantitative coupling method for human, machine, management, and environmental risk factors in crane accidents, leveraging Bayesian networks (BN) and the N-K model. Firstly, text mining technology and fault tree analysis are employed to analyze the causes of crane accidents and categorize the associate risk factors. Secondly, the types of risk coupling resulting from human, machine, management, and environmental risk factors are defined. Thirdly, the BN model is developed based on the analysis of crane accident risksand its N-K model. Fourthly, the parameters of the risk coupling nodes in the developed BN are determined based on the calculation results of the N-K model. Finally, for the risk coupling types with high coupling values and the first-level node and second-level node, the failure probability is analyzed through posterior probability and sensitivity analysis. The results indicate that factors related to man and management significantly impact crane accidents and warrant enhanced attention. The interplay among multiple risk factors significantly influences the probability of crane accidents, necessitating careful attention.

Prognostic significance of 18F-Fluorodeoxyglucose positron-emission tomography parameters in patients with biliary tract cancers: a meta-analysis.

BACKGROUND AND OBJECTIVE: Numerous previous studies have assessed the prognostic role of 18F-fluorodeoxyglucose positron-emission tomography (18F FDG PET) in patients with biliary tract cancer (BTC), but those results were inconsistent. The present study aims to determine the predictive value of 18F FDG PET in BTC patients via a meta-analysis. METHODS: The underlying studies related to 18F FDG PET and BTC patients` outcomes were searched and identified in the online databases. The interested parameters include total lesion glycolysis (TLG), metabolic tumor volume (MTV), primary tumor and metastatic lymph node (LN) maximum standardized uptake value (SUVmax), as well as change of SUVmax (ΔSUVmax) during treatment. Overall survival (OS), disease-free survival (DFS), and progression-free survival (PFS) were considered as the primary endpoints. Hazard ratio (HR) and corresponding 95% confidence intervals (CIs) were defined as the effective measure and calculated by a pooled analysis. Publication bias was assessed by funnel plot, Bagg's and Egger's tests. RESULTS: Totally, 23 studies involving 1478 patients were included in the present meta-analysis. After a pooled analysis, it revealed that a high SUVmax was significantly associated with a poor OS (HR:2.07, 95%CI: 1.74-2.46, P = 0.000) and DFS (HR: 2.28, 95%CI: 1.53-3.41, P = 0.000). In addition, an increased TLG level contributed to a shorter OS (HR:1.91, 95%CI: 1.26-2.90, P = 0.002) and DFS (HR: 4.34, 95%CI: 1.42-13.27, P = 0.01). Moreover, we confirmed that an elevated MTV was significantly associated with increased mortality (HR:2.04, 95%CI:1.26-3.31, P = 0.004) and disease relapse (HR: 3.88, 95%CI:1.25-12.09, P = 0.019) risks. Besides, the present study uncovered that increased ΔSUVmax could predict poor OS (HR:1.26, 95%CI:1.06-1.50, P = 0.008) instead of PFS (HR: 1.96, 95%CI: 0.82-4.72, P = 0.280). Lastly, we found that LN SUVmax did not link to OS (HR: 1.49, 95%CI: 0.83-2.68, P = 0.178). No obvious publication bias was detected in the present study. CONCLUSION: 18F FDG PET parameters, including SUVmax, TLG, MTV, and ΔSUVmax, could be applied as convenient and reliable factors for predicting BTC patients` outcomes.