BL-YOLOv8: An Improved Road Defect Detection Model Based on YOLOv8.

Road defect detection is a crucial task for promptly repairing road damage and ensuring road safety. Traditional manual detection methods are inefficient and costly. To overcome this issue, we propose an enhanced road defect detection algorithm called BL-YOLOv8, which is based on YOLOv8s. In this study, we optimized the YOLOv8s model by reconstructing its neck structure through the integration of the BiFPN concept. This optimization reduces the model's parameters, computational load, and overall size. Furthermore, to enhance the model's operation, we optimized the feature pyramid layer by introducing the SimSPPF module, which improves its speed. Moreover, we introduced LSK-attention, a dynamic large convolutional kernel attention mechanism, to expand the model's receptive field and enhance the accuracy of object detection. Finally, we compared the enhanced YOLOv8 model with other existing models to validate the effectiveness of our proposed improvements. The experimental results confirmed the effective recognition of road defects by the improved YOLOv8 algorithm. In comparison to the original model, an improvement of 3.3% in average precision mAP@0.5 was observed. Moreover, a reduction of 29.92% in parameter volume and a decrease of 11.45% in computational load were achieved. This proposed approach can serve as a valuable reference for the development of automatic road defect detection methods.

Impact of different industrial activities on heavy metals in floodplain soil and ecological risk assessment based on bioavailability: A case study from the Middle Yellow River Basin, northern China.

Understanding the impact of different industrial activities on heavy metals and conducting scientific ecological risk assessments are critical to the management of heavy metal pollution. The present study compared soils affected by different industrial activities in three types of industrial cities (coal city, oil-gas city, and economic city) to control samples and examined the ecological risk based on bioavailability in the Middle Yellow River Basin. The findings revealed that the impact characteristics of different industrial activities on soil heavy metals in the research area were different. Both coal-based and oil-gas industry activities had a minor impact on soil heavy metals, whereas economic industry activities in the southern part had a major impact, as evidenced by significant enrichment of Cd, Hg, Cu, Pb, and Zn. In principal component analysis, the soil heavy metals affected by economic industry activities designated a distinct source from the control samples, particularly the anthropogenic sources represented by Hg and Cd. In the context of heavy metals in chemical form, three types of industrial activities all had an effect on bioavailability (0.72-24.27%) and could increase migratory activity in the environment. Furthermore, both traditional and improved assessments, based on total content and bioavailability, showed a low ecological risk near coal cities and oil-gas cities in the middle and northern parts, while there was a medium-high ecological risk near economically developed cities in the south, particularly Tianshui, Baoji, Qishan, Xianyang, Xi'an, and Tongchuan. In comparison, improved risk assessment based on bioavailability tends to not only compensate for an overestimation in traditional risk assessment from the perspective of total content, but additionally achieve a more reasonable, effective, and advanced assessment of heavy metal risks in scientific research. The outcome of this study has significance for the ecological conservation and high-quality development of the Yellow River Basin.

Spatial-temporal variability and influence factors of Cd in soils of Guangxi, China.

In this study, the regional spatial-temporal variability of cadmium (Cd) in the topsoil of Guangxi, China from 2010 to 2016 was studied from data obtained from the China Geochemical Baseline Project (CGB Ⅰ and CGB Ⅱ). The driving forces of natural and anthropogenic variables were quantitatively analyzed using a geographically and temporally weighted regression model. The results showed that 1) soil Cd was highly enriched in 2010 and in soils of Hechi city in northwest Guangxi, a non-ferrous metal mining and metallurgy area, ~17% of the samples exceeded the soil contamination risk limit. In contrast, in 2016, the topsoil Cd content decreased significantly, with 7% of sites exceeding the soil risk limit. 2) Multiple factors jointly influenced the regional spatial variability of Cd. pH and organic carbon were found to be the main factors influencing Cd content and were strongly spatially correlated with Cd. Anthropogenic activities, including mining and industrial emissions, resulted in significant Cd enrichment in local areas, whereas agricultural and domestic pollutants were relatively weakly correlated with Cd. The weathering products of carbonates were significantly enriched in Cd; thus, the geological background played a significant role in the spatial variability of Cd. Soil-forming factors, including temperature, precipitation, and elevation influenced the spatial distribution of Cd, especially in the Cd background area. 3) Anthropogenic activities were the key factors influencing temporal changes in Cd. Mining caused significant enrichment of Cd in CGB Ⅰ, while industrial emissions were the primary factor for Cd enrichment in CGB Ⅱ. In addition, natural factors also played an important role; the increased Normalized Difference Vegetation Index suggested reduced desertification and reduction of soil erosion in the watershed and in pollutants transported from upstream.

Characterization of the m6A-related lncRNA signature in predicting prognosis and immune response in patients with colon cancer.

PURPOSE: Colon adenocarcinoma (COAD) is globally one of the most frequently occurring malignant tumors. The patients' 5-year survival rate with colon cancer was poor. There is a usual form of mRNA modification called N6-methyl adenosine (m6A). It is adjusted by the m6A RNA methylation modulator. Nevertheless, few studies of COAD can fully discuss m6A-related lncRNAs' prognostic function. METHODS: From The Cancer Genome Atlas (TCGA) database, this study of COAD samples discussed 23 m6A regulator-related lncRNAs systemically. 2 m6A patterns with various clinical results were recognized, and a remarkable correlation between various m6A clusters and tumor immune microenvironment was discovered. RESULTS: According to prognostic analysis, cluster1 had a higher immune checkpoint programmed death-ligand 1 (PD-L1) expression and a better prognosis. A 6 m6A-related lncRNAs model was constructed through least absolute shrinkage and selection operator (LASSO), univariate, multivariate Cox regression and stratified analysis. The outcomes reported that compared with the low-risk group, high-risk groups that were based on model closely were related to poor overall survival (OS). The study ensured a risk model consisting of 6 m6A-related lncRNAs as independent prognosis predictors. For the expression differences between the two groups, Genomes Pathway Analysis, Kyoto Encyclopedia of Genes (KEGG) and Gene Ontology (GO) biological process analyses were conducted. In addition, on the basis of full analysis of OS, a nomogram based on gender, age, lncRNA feature and the stage was constructed. One year, two years, and three years are the periods when the calibration chart performed best. CONCLUSIONS: The outcomes of the study confirmed the underlying function of m6A-related lncRNAs and offered fresh perspectives to COAD prognosis.

Six mutator-derived lncRNA signature of genome instability for predicting the clinical outcome of colon cancer.

BACKGROUND: Colon adenocarcinoma (COAD) is one of the most common malignancies worldwide. Genomic instability is one of the hallmarks of colon cancer and is associated with prognosis. Nevertheless, the impact of genome instability-associated long non-coding RNAs (lncRNAs) along with their clinical significance in cancers has remained mostly unexplored. METHODS: In this study, a mutator hypothesis-derived computational frame integrating the somatic mutation profiles and lncRNA expression profiles in a tumor genome was developed, which enabled the identification of 137 novel genomic instability-associated lncRNAs in colon cancer. Subsequently, a genome instability-derived lncRNA signature (GILncSig) segregated the patients into low- and high-risk groups with prominent differences in outcomes. RESULTS: Combined with the overall survival data, we established 6 six lncRNA-based signature to predict prognosis, which were LINC00896, AC007996.1, NKILA, AP003555.2, MIRLET7BHG, and AC009237.14. We found that the expression level of PD-L1 (CD274) and somatic mutations in the high-risk group were higher than those in the low-risk group. This suggests that high-risk patients may be sensitive to immunotherapy. We further found that the prognosis of patients in the high-risk group was significantly lower than that of patients in the low-risk group, and that patients' prognosis was likely to be worse as the patient's risk score increased. CONCLUSIONS: In conclusion, this study explores the role of lncRNAs in genomic instability and cancer prognosis and provides a new idea for the prognostic prediction of colon cancer.

Spatial variations in soil organic carbon, nitrogen, phosphorus contents and controlling factors across the "Three Rivers" regions of southwest China.

Based on the data of China Geochemical Baselines project, geostatistical analysis was used to investigate the spatial variations in soil organic carbon (SOC), total nitrogen (TN) and total phosphorus (TP) contents across the "Three Rivers" regions of southwest China, and the factors affecting them were analyzed by the redundancy analysis (RDA) and Person's correlation. Results showed that, the average content of SOC, TN and TP in the study area were 7.20 g/kg, 0.84 g/kg and 0.55 g/kg, respectively. The SOC and TN contents showed an obvious enrichment characteristic with great spatial variability, while TP content was stable on regional scale. The SOC, TN and TP contents decreased with elevation increase in the northern frigid highland, but showed an opposite character in the southern tropical & subtropical, which actually reflected the control of temperature on them. Combined with that there were higher SOC, TN and TP contents in subalpine meadow soil and red earth-yellow earth of the middle latitude zone, these suggested that the suitable temperature was conducive to the accumulation of soil nutrients. The weak positive correlation between population density and soil nutrients, together with high level of soil nutrients in the vicinity of large cities, demonstrated that human activities had significantly increased the soil nutrients contents in the study area. The RDA results showed that soil nutrients in the northern frigid highland were mainly controlled by the environmental factors dominated by temperature and soil structural factors dominated by parent materials with the total explanatory power as high as 75.87%, while in the southern tropical & subtropical mainly by the environmental factors dominated by chemical and biological weathering and the biological factors dominated by vegetation with the total explanatory power as high as 88.53%. The above factors superimposing a certain degree of human activities converged to cause that the SOC and TP contents in the south were higher than that in the north while the TN content was lower than that in the north.

Meconium-stained amniotic fluid as a risk factor for necrotizing enterocolitis in very low-birth weight preterm infants: a retrospective cohort study.

Objective: To evaluate whether meconium-stained amniotic fluid (MSAF) is a risk factor for necrotizing enterocolitis (NEC) in very-low-birth-weight preterm infants.Materials and methods: The retrospective study was conducted at the Neonatal Diagnosis and Treatment Center of the Children's Hospital of Chongqing Medical University from January 2010 to October 2016. The maternal and neonatal characteristics in cases of very low-birth weight infants born prior to 34 weeks of gestation were collected and compared between the MSAF and non-MSAF groups.Results: In the present study, 461 medical records of very low-birth-weight preterm infants were reviewed. A total of 41 (8.9%) infants were born to mothers with MSAF; in all, 180 infants were included in the study. Demographic characteristics and neonatal complications in the MSAF (n = 30) and non-MSAF groups (n = 150) were compared. A higher incidence of NEC (26.7% versus 10%, χ2 = 4.825, p = .028) was found in the MSAF group than in the non-MSAF group. Logistic regression analysis showed that MSAF (OR = 3.385, 95% CI: 1.349-8.492, p = .009) and sepsis (OR = 3.538, 95% CI: 1.442-8.679, p = .006) were independent risk factors for NEC.Conclusions: MSAF might be a risk factor for NEC in very-low-birth-weight infants. MSAF and sepsis contribute to the development of NEC.

Probiotics may not prevent the deterioration of necrotizing enterocolitis from stage I to II/III.

BACKGROUND: Probiotic therapy can reduce the incidence of NEC. Therapeutic use of probiotics after NEC diagnosis reduces the severity of NEC in preterm infants or full-term infants is unclear. To evaluate the effect of probiotics on preventing the deterioration of necrotizing enterocolitis (NEC) from stage I to II/III. METHODS: A retrospective matched cohort study was performed. Included patients were ultimately divided into two groups: the probiotic treatment group (probiotics were used ≥4 days) and the no probiotic treatment group. The differences in deterioration trends between the two groups were compared. Additionally, the risk factors associated with the deterioration of NEC were further analyzed with a case-control study. RESULTS: A total of 231 infants met the inclusion criteria. Eighty-one pairs were matched according to similar gestational age and birth weight. Before matching, we found that the rate of deterioration of NEC from stage I to II/III in the group with probiotic treatment was similar to that in the group without probiotic treatment (23.1% [25/108] vs 26.0% [32/123], P = 0.614). After matching, the rate of deterioration of NEC between the two groups still had no significant difference (21.0% [17/81] vs 27.2% [22/81], P = 0.358). Logistic regression analysis showed that sepsis after NEC was an independent risk factor for NEC deteriorating from stage I to II/III (OR 2.378, 95% CI 1.005-5.628, P = 0.049). CONCLUSION: Probiotics may not prevent the deterioration of NEC from stage I to II/III in infants, but this conclusion should be treated with caution.

A scoring system to predict mortality in infants with esophageal atresia: A case-control study.

Esophageal atresia (EA) is a rare anomaly that mandates surgical intervention. Patients with EA often have complicated medical courses due to both esophageal anomalies and related comorbidities. Although several prognostic classification systems have been developed to decrease the mortality rate in EA, most systems focus only on the influence of the major anomaly, and external risk factors that could be influenced by the neonatal caregivers to a certain extent are not included. The aim of this study was to investigate the risk factors for in-hospital mortality in neonates with EA and develop a scoring model to predict mortality.In total, 198 infants with EA who were treated with surgical intervention at the Children's Hospital of Chongqing Medical University between March 2004 and June 2016 were included. The demographic information, clinical manifestations, laboratory testing, and outcomes during hospitalization were analyzed retrospectively. A predictive scoring model was developed according to the regression coefficients of the risk factors.The mortality rate was 18.1% (36/198). In the univariate analysis, higher incidences of prematurity, low birth weight, long gap, anastomotic leak, respiratory failure, postoperative sepsis, respiratory distress syndrome, pneumothorax, and septic shock were found in the nonsurvivor group than in the survivor group (P < .05). In the logistic regression analysis, anastomotic leak (OR: 10.75, 95% CI: 3.113-37.128), respiratory failure (OR: 4.104, 95% CI: 2.292-7.355), postoperative sepsis (OR: 3.564, 95% CI: 1.516-8.375), and low birth weight (OR: 8.379, 95% CI: 3.357-20.917) were associated with a high mortality rate. A scoring model for predicting death was developed with a sensitivity of 0.861, a specificity of 0.827, a positive predictive value of 0.524, and a negative predictive value of 0.963 at a cutoff of 2 points. The area under the receiver-operating characteristic curve of the score was 0.905 (95% CI, 0.863-0.948, P = .000) for death from EA. The mortality rate increased rapidly as the scores increased, and all patients with scores ≥5 died.Anastomotic leak, respiratory failure, postoperative sepsis, and low birth weight are independent risk factors for mortality in EA. Infants with a predictive score of 5 had a high risk of death.

Differences in the Clinical Characteristics of Early- and Late-Onset Necrotizing Enterocolitis in Full-Term Infants: A Retrospective Case-Control Study.

Information regarding the influence of age at onset on prognosis in full-term infants with necrotizing enterocolitis (NEC) is limited, and identifying differences between the clinical characteristics of early-onset NEC (EO-NEC) and late-onset NEC (LO-NEC) may be helpful in the determination of effective management strategies. In the present study, the medical records of 253 full-term infants with NEC were reviewed, and the clinical characteristics of the EO-NEC group (n = 150) and the LO-NEC group (n = 103) were compared. Infants in the EO-NEC group were characterized by increased gestational age and higher rates of stage III NEC and peritonitis when compared with LO-NEC infants (P < 0.05). Mortality was significantly associated with stage III NEC, peritonitis, sepsis, respiratory failure and shock in univariate analysis (P < 0.05). In logistic regression analysis, peritonitis and renal failure were identified as independent risk factors for mortality in infants with EO-NEC, and peritonitis and respiratory failure were significant predictors of mortality in neonates with LO-NEC. Our finding indicated that the characteristics of the severe medical conditions identified in infants with EO-NEC were distinct from those observed in infants with LO-NEC. Peritonitis and kidney failure and peritonitis and respiratory failure were identified as risk factors for mortality in EO-NEC and LO-NEC infants, respectively.