Hefei Municipal Design and Research Institute (China)

ABSTRACT An approach was established for the identification and quantification of 46 antibiotic residues in water and sediment, employing ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS). Solid-phase extraction (SPE) was used to enrich the antibiotics from water-phase samples, utilising an Acquity BEH C18 column for separation and tandem mass spectrometry for detection. The extraction process involved the addition of magnesium nitrate, acetonitrile, and aqueous ammonia to sediment samples. Additionally, testing conditions were optimised to determine trace concentrations (ng/L), which included adjustments to the extractant, eluent, elution volume, and other relevant parameters. Method validation was performed, encompassing assessments of linearity, accuracy, method detection limits (MDLs), and method quantification limits (MQLs). The results demonstrate that the method exhibits high accuracy and precision. The average recoveries of samples from water and sediment ranged from 51.45% to 128.25%. The MDLs for the targeted antibiotics ranged from 0.01 to 0.20 ng/L in water and from 0.003 to 0.05 ng/g in sediments, with corresponding MQLs of 0.04 to 0.68 ng/L and 0.01 to 0.17 ng/g, respectively. Water and sediment samples collected from rivers surrounding Chaohu Lake were analysed for antibiotic residues to demonstrate the method’s applicability to real-world samples. The results confirmed the method’s capability to effectively analyse antibiotics at ultra-trace levels in environmental water and sediment samples.

With the continuous progress of social science and technology, the communication industry has developed rapidly. The state has also increased the development and application of optical fiber communication systems. Optical fiber communication technology is applied in various fields of modern communication, and it has become a new symbol of modern communication technology development. As far as the current situation is concerned, optical fiber communication has been widely used in many fields of society. The main reason is that optical fiber communication has the characteristics of fast transmission speed and low energy consumption, which has been recognized by many people. Genetic algorithm is a search algorithm based on natural genetic and natural selection mechanism. It applies the important mechanism of natural biological system to the design of artificial system. The advantages of simplicity, high robustness and global search make genetic algorithm widely used in system control, numerical optimization and other fields. In view of the shortcomings of BP algorithm, such as slow convergence speed and easy to fall into local optimum, genetic algorithm is used to learn the weights of BP network. In order to ensure the safety of optical fiber communication network and improve the risk assessment accuracy of optical fiber communication network, this paper proposes a risk assessment model of optical fiber communication network based on intelligent classification algorithm. The risk evaluation index of optical fiber communication network is constructed and preprocessed, then the correlation between the evaluation indexes is calculated, the optimal evaluation index set is selected, and the redundant indexes are removed. Finally, the intelligent classification algorithm is used to establish the risk evaluation model of optical fiber communication network and realize the estimation of the risk level.

Abstract Bioretention is widely used in urban sustainable stormwater management; however, limited numerical research has been conducted on its performance in cold regions, particularly for winter snowmelt, spring runoff and summer large storms (>50 mm) for urban flood mitigation. In this study, HYDRUS 1D was used to explore these knowledge gaps. The model was comprehensively calibrated and validated against 2‐year hydrologic and water quality data of four bioretention columns with different designs under lab‐simulated cold region conditions. The Morris method was used to measure the sensitivity and interaction of the calibrated hydraulic parameters. The model revealed that the effective hydraulic conductivity (KS) values of the soil media were similar for winter snowmelt and spring runoff when the soil temperature was around −0.5°C. Preferential flow is likely to occur in soil media during winter or spring in cold regions. The summer modelling showed that bioretention could substantially reduce peak flow, ponding depth and duration for large storm events (even for a 1:100 local storm with 83.4 mm in 4 h). The water quality modelling confirmed experimental results that the bioretention effectively removed phosphate and ammonium but had leaching issues for chloride and nitrate. Finally, optimization and recommendations for bioretention columns were provided.

Background and Objectives: Cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) are malignant disorders with adverse prognoses for advanced patients. Anoikis, which is involved in tumor metastasis, facilitates the survival and separation of tumor cells from their initial site. Unfortunately, it is rarely studied, and in the literature, studies have only addressed the prognosis character of anoikis for patients with CESC. Materials and Methods: We utilized anoikis-related genes (ANRGs) to construct a prognostic signature in CESC patients that were selected from the Genecards and Harmonizome portals. Furthermore, we revealed the underlying clinical value of this signature for clinical maneuvers by providing clinical specialists with an innovative nomogram on the basis of ANRGs. Finally, we investigated the immune microenvironment and drug sensitivity in different risk groups. Results: We screened six genes from fifty-eight anoikis-related differentially expressed genes in the TCGA-CESC cohort, and we constructed a prognostic signature. Then, we built a nomogram combined with CESC clinicopathological traits and risk scores, which demonstrated that this model may improve the prognosis of CESC patients in clinical therapy. Next, the prognostic risk scores were confirmed to be an independent prognostic indicator. Additionally, we programmed a series of analyses, which included immune infiltration analysis, therapy-related analysis, and GSVA enrichment analysis, to identify the functions and mechanisms of the prognostic models during the progression of cancer in CESC patients. Finally, we performed quantitative reverse transcription polymerase chain reaction (qRT-PCR) to verify the six ANRGs. Conclusions: The present discovery verified that the predictive 6-anoikis-related gene (6-ANRG) signature and nomogram serve as imperative factors that might notably impact a CESC patient's prognosis, and they may be able to provide new clinical evidence to assume the role of underlying biological biomarkers and thus become indispensable indicators for prospective diagnoses and advancing therapy.

Pipe Jacking has been paid much attention nowadays because of its wide and successful application. In Hefei city, the capital of Anhui Province, how to choose the appropriate pipe jacking machine has become a headache due to some factors involved, such as cost, construction process and environmental impacts and lack of some quantitative data in this area. Therefore, an initial selection of Pipe Jacking Machine base on the soil strata mainly in Hefei City has been undertaken, varied from the area such as plain area of Nanfei River valley, monadnock area col area to expansive soil area. As a result of comparing the application according to strata, Earth Pressure Balance Machine and Slurry Pipe Jacking Machine are chosen to help engineers install pipes in these areas, which could be as references for initial selection of Pipe Jacking Machine in Hefei City in future.