Search

The reasonable design of hole spacing for buried heat exchangers is the first issue to be solved when developing shallow geothermal energy in the Nanjing erosion and accumulation plain area. In order to obtain the hole spacing for design reference and ensure ground-source heat pump system to operate long and stably, based on the ground-source heat pump test project at No. 102 Shimenkan, Qinhuai District of Nanjing, the hole spacing of ground heat exchanger and time effect of 10-year operation with ground-source heat pump system have been studied with the temperature monitoring system and numerical simulation method, and the hole spacing of ground heat exchanger and the operation mode have been obtained. The results show that : (1) during the complete operation cycle of summer, post summer recovery, winter and post winter recovery working conditions of ground-source heat pump system, formation temperature undergoes periodic change of heating, cooling, slow cooling and basic recovery. (2) The economical and reasonable hole spacing of ground heat exchanger is 4.0 meters suitable for the erosion accumulation plain of Nanjing. (3) In order to eliminate the heat accumulation during the summer working condition and promote the service life of ground-source heat pump system, the operation mode of equal cooling time in the summer and heating time in the winter is suggested, and the post summer recovery working condition is extended as much as possible. This study can provide scientific basis for the design of buried pipes and shallow geothermal energy engineering research in the Nanjing area.

Radionuclide verification is one of the four monitoring technologies used in International Monitoring System of Comprehensive Nuclear-Test-Ban Treaty (CTBT). The activity of radionuclides concerned by CTBT generally performs at the low-level. An anti-cosmic ray γ spectrometer system with a HPGe detector was developed by using a combination of active and passive shielding techniques in order to improve the detection sensitivity and reduce the affections of background. By adjusting the system with a delay time and testing anti-coincidence count loss correction, compared with the original γ spectrum, the integral background in the energy range of 15-2 700 keV is reduced by a factor of 8. The detection sensitivity is greatly improved by using the anti-coincidence method. For 140Ba, the minimum detectable activity (MDA) is 10 mBq by using the anti-cosmic ray γ spectrometer for 7 d measurement, which meets the technical requirements for certification of nuclide laboratory under the CTBT. It is not only of great significance for CTBT radionuclide verification, but also important for radiation environment monitoring.

Brain functional hypernetworks have been successfully utilized in the diagnosis of brain diseases.In the previous study,the different hyper-edge generation method was mainly used to improve the construction of the hyper-network,which ignored the influence of different nodes definitions on the brain functional hyper-network topology.Therefore,in light of this problem,it is proposed to construct a brain functional hyper-network based on parcellation of different scales,so as to analyze its impact on brain functional hyper-network topology and classification performance.Specifically,firstly,based on the anatomical automatic labeling atlas,the brain was segmented by the method of clustering algorithm and the random dynamic seed point;secondly,based on the average time series obtained under each node scale,the brain functional hyper-network was constructed by the LASSO method respectively;then multiple sets of local features (node degree,shortest path,clustering coefficient) were extracted,and non-parametric tests and correlation-based methods were used to select features with difference;finally,support vector machine was adopted to build classification model.The classification results show that as the size of nodes increases,the classification accuracy of the constructed brain functional hyper-network is higher.When the node scale is 1501,the classification accuracy can reach 95.45%.Meanwhile,the classification accuracy of multi-scale fusion is better than that of any scale,which indicate different node definitions will affect the topology of the brain functional hyper-network.In future research,besides focusing to the construction method of the hyper-edge,the choice of brain parcellation scheme needs more attention in hyper-network.Moreover,combining multi-scale features can supplement more classification information to enhance the classification performance of depression and normal control.In addition,regardless of the size of the node,the classification performance of multiple sets of local properties is better than that of a single type of properties,which illustrates multiple sets of local property can make up for the missing information of a type of single feature,thereby discovering more brain disease biological markers.While effectively representing the brain functional hyper-network,it is also necessary to quantify the brain functional hyper-network topology information from multiple angles,so that the ability to characterize differences between groups can be enhanced,and the ability to diagnose and predict brain diseases can be improved.

Gas hydrate is greatly developed in the Qiongdongnan Basin which is one of the key exploration targets in the South China Sea, but the geological study of gas hydrate is insufficient. With 3D seismic data interpretation, geochemical data analysis and a large number of investigations, a related research work of H zone in the Qiongdongnan Basin was carried out in this paper, with accumulation system as the main line and focused on migration and transportation system. According to the analysis of 48 sets of geochemical data, the hydrate decomposition gas in H zone has a methane carbon isotope value (δ13C1) of -48.2‰ and a higher content of ethane and propane (C2+=21%), indicating that the gas is mainly thermogenic, and some are mixed gas. Seismic interpretation showed that the Quaternary tectonic activity in H zone was weak, and the NNE-trending gas chimney structure group, polygonal fault-silt complex and submarine slump body constituted the main migrating system and high-quality reservoir in the study area. Based on the gas source characteristics and migrating system of natural gas hydrate in H zone, three accumulation types were proposed, including the gas chimney type hydrate rich in thermogenic gas, the polygonal fracture-silt composite hydrate rich in thermogenic gas, and the submarine slump hydrate rich in thermogenic gas and mixed genetic gas.

Earthquake emergency thematic map provides timely and necessary technical support for earthquake emergency work. In order to shorten the mapping time of earthquake emergency thematic map，reduce the technical difficulty of seismic thematic map mapping，and improve the efficiency of earthquake emergency work，Hainan Province is selected as the research area to study and apply the off-line automatic mapping of earthquake emergency thematic map. In this study，the traditional idea of using GIS professional software for mapping process is advanced，and a series of pre-stored map slice data are established. When used，it will be separated from GIS software environment and emergency basic database. In software development，these pre-stored slice data are used to splice the needed emergency thematic map geographic base map，which has achieved the realization and application of rapid batch mapping to provide reliable and effective support for earthquake emergency work in Hainan Province.

The study was to screen forage oat ( Avena sativa) varieties (lines) suitable for planting and utilization in Chongqing. The experiment studied the production performance, nutritional quality and disease resistance of 19 oat varieties, and used the grey correlation method for comprehensive evaluation. The results showed that Qingmu No.3 had the highest hay yield (1.26 kg/m²), which was significantly higher than other varieties except Baiyan No. 3 and other nine varieties ( P<0.05). The nutrient composition analysis showed that the variation of crude protein content was the largest (27.23%), among which Qingyin 2 had the highest crude protein content (21.87%), and the average crude protein of 19 varieties was 13.52%. Disease resistance analysis showed that high resistance varieties (HR) were Taike and Dahan, and eight varieties with disease resistance grade or above, and no rust immune varieties were found. The oat varieties with better performance were screened out by the comprehensive evaluation of grey relational degree method: Kanyan No. 4, Baiyan No. 3, Qingmu No. 3. The study indicates that Kanyan 4, Baiyan 3 and Qingmu 3 are suitable for promotion and utilization in Chongqing area. [ABSTRACT FROM AUTHOR]

Objective·To assess the cardiopulmonary exercise capacity in patients with breast cancer after neoadjuvant chemotherapy in the early stage and explore possible factors leading to the reduced functional tolerance in those patients. Methods·Fifty-two consecutive patients suffering from breast cancer and receiving neoadjuvant chemotherapy were included and completed cardiopulmonary exercise testing (CPET), laboratory tests, electrocardiograph and echocardiography after 1 cycle of chemotherapy in the Department of Cardiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine from September, 2020 to May, 2021. Fifty-two healthy age-, gender- and body mass index (BMI)-matched volunteers were enrolled and received CPET as the control group. The general conditions, hematological biomarkers, electrocardiogram and echocardiography of the subjects in the two groups were collected and recorded. Results·Compared to the control group, the group of patients receiving neoadjuvant chemotherapy had reduced peak VO2 [(18.22±3.48) mL/(min·kg) vs (22.80±3.13) mL/(min·kg), P=0.000], anaerobic threshold [(12.09±2.35) mL/(min·kg) vs (14.93±2.60) mL/(min·kg), P=0.000] and oxygen pulse [(7.67±1.45) mL/beat vs (8.87±1.29) mL/beat), P=0.000]. On multivariable regression analysis, BMI was independently associated with peak VO2 (β = - 0.528, P=0.047) of patients in the early stage of neoadjuvant chemotherapy. Conclusion·Decreased cardiopulmonary function could be detected in the early stage of neoadjuvant chemotherapy on patients with breast cancer via CPET. High BMI can be an independent predictor of the reduced peak VO2 . Maintaining BMI at normal level by losing weight may help to improve patients' cardiopulmonary function and long-term cardiovascular prognosis. [ABSTRACT FROM AUTHOR]

This paper mainly introduces the pretreatment of waste lithium battery and the research situation of related processes of recycling valuable metals, analyzes the main processes, principles, advantages and disadvantages of pyrometallurgy, hydrometallurgy, united pyro-roasting & hydrometallurgy and biometallurgy, and prospects the recycling industry of spent lithium battery. Pyrometallurgy has strong adaptibility for raw materials and large processing capacity, which can make full use of the reduction and energy contained in spent lithium batteries. Hydrometallurgy is easy to achieve high metal leaching rate, and the use of reagents such as H3PO4 or ammonia can achieve preferential extraction of individual metals. Biometallurgy has certain challenges in the application of waste lithium batteries, mainly because waste lithium batteries contain toxic electrolytes, which seriously affect microbial activity. The united pyro-roasting and hydrometallurgy combines the advantages of pyrometallurgy and hydrometallurgy, and can extract the advantages of individual metals, which has potential application in future. [ABSTRACT FROM AUTHOR]

We reported the comprehensive treatment of an elderly critically ill patient with pelvic fracture.The functions and quality of life of the patient were recovered after collaborative nursing by both family and hospital according to the general practice principle of both mental and physical rehabilitation.We summarized the diagnosis and treatment strategies of this case,aiming to provide reference for the clinical treatment of such cases.

Objectives: To establish a system for simultaneous detection of miR-888 and miR-891a by droplet digital PCR (ddPCR), and to evaluate its application value in semen identification., Methods: The hydrolysis probes with different fluorescence modified reporter groups were designed to realize the detection of miR-888 and miR-891a by duplex ddPCR. A total of 75 samples of 5 body fluids (including peripheral blood, menstrual blood, semen, saliva and vaginal secretion) were detected. The difference analysis was conducted by Mann-Whitney U test. The semen differentiation ability of miR-888 and miR-891a was evaluated by ROC curve analysis and the optimal cut-off value was obtained., Results: There was no significant difference between the dual-plex assay and the single assay in this system. The detection sensitivity was up to 0.1 ng total RNA, and the intra- and inter-batch coefficients of variation were less than 15%. The expression levels of miR-888 and miR-891a detected by duplex ddPCR in semen were both higher than those in other body fluids. ROC curve analysis showed that the AUC of miR-888 was 0.976, the optimal cut-off value was 2.250 copies/μL, and the discrimination accuracy was 97.33%; the AUC of miR-891a was 1.000, the optimal cut-off value was 1.100 copies/μL, and the discrimination accuracy was 100%., Conclusions: In this study, a method for detection of miR-888 and miR-891a by duplex ddPCR was successfully established. The system has good stability and repeatability and can be used for semen identification. Both miR-888 and miR-891a have high ability to identify semen, and the discrimination accuracy of miR-891a is higher.

Objectives: To study the correlation between CT imaging features of acceleration and deceleration brain injury and injury degree., Methods: A total of 299 cases with acceleration and deceleration brain injury were collected and divided into acceleration brain injury group and deceleration brain injury group according to the injury mechanism. Subarachnoid hemorrhage (SAH) and Glasgow coma scale (GCS), combined with skull fracture, epidural hematoma (EDH), subdural hematoma (SDH) and brain contusion on the same and opposite sides of the stress point were selected as the screening indexes. χ 2 test was used for primary screening, and binary logistic regression analysis was used for secondary screening. The indexes with the strongest correlation in acceleration and deceleration injury mechanism were selected., Results: χ 2 test showed that skull fracture and EDH on the same side of the stress point; EDH, SDH and brain contusion on the opposite of the stress point; SAH, GCS were correlated with acceleration and deceleration injury ( P <0.05). According to binary logistic regression analysis, the odds ratio (OR) of EDH on the same side of the stress point was 2.697, the OR of brain contusion on the opposite of the stress point was 0.043 and the OR of GCS was 0.238, suggesting there was statistically significant ( P <0.05)., Conclusions: EDH on the same side of the stress point, brain contusion on the opposite of the stress point and GCS can be used as key indicators to distinguish acceleration and deceleration injury mechanism. In addition, skull fracture on the same side of the stress point, EDH and SDH on the opposite of the stress point and SAH were relatively weak indicators in distinguishing acceleration and deceleration injury mechanism.

Objectives: To apply the convolutional neural network (CNN) Inception&#95;v3 model in automatic identification of acceleration and deceleration injury based on CT images of brain, and to explore the application prospect of deep learning technology in forensic brain injury mechanism inference., Methods: CT images from 190 cases with acceleration and deceleration brain injury were selected as the experimental group, and CT images from 130 normal brain cases were used as the control group. The above-mentioned 320 imaging data were divided into training validation dataset and testing dataset according to random sampling method. The model classification performance was evaluated by the accuracy rate, precision rate, recall rate, F 1-value and AUC value., Results: In the training process and validation process, the accuracy rate of the model to classify acceleration injury, deceleration injury and normal brain was 99.00% and 87.21%, which met the requirements. The optimized model was used to test the data of the testing dataset, the result showed that the accuracy rate of the model in the test set was 87.18%, and the precision rate, recall rate, F 1-score and AUC of the model to recognize acceleration injury were 84.38%, 90.00%, 87.10% and 0.98, respectively, to recognize deceleration injury were 86.67%, 72.22%, 78.79% and 0.92, respectively, to recognize normal brain were 88.57%, 89.86%, 89.21% and 0.93, respectively., Conclusions: Inception&#95;v3 model has potential application value in distinguishing acceleration and deceleration injury based on brain CT images, and is expected to become an auxiliary tool to infer the mechanism of head injury.