Search

// Miao-Qun Xue 1 , Jun Liu 2 , Jian-Feng Sang 1 , Lei Su 1 and Yong-Zhong Yao 1 1 Department of General Surgery, Nanjing Drum Tower Hospital The Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China 2 Department of General Surgery, The Jiang Bei People’s Hospital of Nanjing, Nanjing 210048, China Correspondence to: Yong-Zhong Yao, email: cnyongzhongyao321@yeah.net Keywords: breast cancer, breast cancer stem cells, chemokine receptor, CXCR1, neo-adjuvant chemotherapy Received: October 12, 2016 Accepted: February 22, 2017 Published: April 06, 2017 ABSTRACT Objective: To investigate chemokine receptor CXCR1 expression characteristic in different breast tissues and analyze the relationship between CXCR1 expression changes in breast cancer tissue and efficacy of neo-adjuvant chemotherapy. Results: Chemokine receptor CXCR1 was lowly expressed in normal breast tissues and breast fibroadenoma, but highly expressed in breast cancer. It was significantly correlated with pathological stage, tumor cell differentiation, and lymph node metastasis ( P < 0.05). After neo-adjuvant chemotherapy, CXCR1 expression in breast cancer tissues decreased. Among these 104 breast cancer patients with different molecular subtypes, the survival rate with Luminal A was the highest, followed by the Luminal B breast cancer, TNBC was the worst. Materials and Methods: 104 cases with breast carcinoma, 20 cases with normal breast and 20 cases with breast fibroadenoma were included and followed up. Immunohistochemistry was used to detect the expression of CXCR1 in the various tissues. The relationship between the CXCR1 expression changes in breast cancer biopsies and surgical specimens, as well as the efficacy of neo-adjuvant chemotherapy, was analyzed. Conclusions: Chemokine receptor CXCR1 could be used as an indicator to predict benign or malignant breast disease, and it can even predict the malignancy degree of breast cancer, as well as its invasive ability and prognosis.

The current study aims to investigate the effect of anti-osteoporotic agents of collared and non-collared femoral stem prostheses on periprosthetic bone mineral density (BMD) after total hip arthroplasty (THA). 80 patients who received THA due to femur neck subcapital fractures were involved. The treatment groups were given fosamax, caltrate D and Xianlinggubao for oral administration, whereas the control groups were only given caltrate D. BMD at the greater trochiter around the femoral stem prosthesis and at the femoral shaft 1.5-1.0 cm away from the distal femoral stem was tested using dual-energy X-ray absorptiometry (DEXA) scan. Meanwhile, BMD at the same sites on the uninjured side was also tested. The BMD at both sites in all groups decreased after implantation. In the collared groups, no significant difference was shown between the injured and uninjured sides at 12 days or 3 months (p0.001). At 6 months after implantation, significant differences were displayed at both sites between the treatment and control groups (p0.001). In the non-collared groups, significant differences were displayed at both sites between the treatment and control groups at 6-months postimplantation (p0.001). No significant difference showed between the collared and non-collared groups show any at either site on either side (p0.05). DEXA scan can quantitatively determine bone loss around the prosthesis after THA. BMD around the prosthesis is correlated with administration of anti-osteoporotic agents. Fosamax + caltrate D + Xianlinggubao can prevent early bone loss around the prosthesis.

In the urban water supply system, pump station is the main unit of energy consumption. In the background of pushing forward the informatization in China, using BIM technology in design, construction and operations of water supply pumping station, can break through the limitations of the traditional model and effectively achieve the goal of energy conservation and emissions reduction. This work researches the way to solve energy-saving optimization problems in the process of whole life cycle of water supply pumping station based on BIM technology, and put forward the feasible strategies of BIM application in order to realize the healthy and sustainable development goals by establishing the BIM model of water supply pumping station of Qingdao Guzhenkou water supply project.

A membrane bio-reactor (MBR) process was used as a backbone treatment component at the Qingdao International Airport Wastewater Treatment Station (WWTS) Qingdao, China, to biologically remove COD, nitrogen and phosphorus. This paper describes the design of the MBR as well as the operating results of the station. The design of the MBR emphasized efficiency, simplicity, reliability, low construction and O&M costs, and low land requirement. The WWTS was commissioned and formally put into operation in 2002. The two years influent BOD 5 , COD, SS, T-N and T-P averaged at 102, 208, 160, 36.2 and 1.7 mg/L respectively. The final treated effluent BOD 5 , COD, SS, T-N and T-P for the same period averaged 5.2, 17.3, 4 , 11.6 and 0.4 mg/L respectively. In comparison with the national effluent standard requirements for BOD 5 , SS, T-N and T-P of less than 0.8, 6, 3.4 and 0.12 mg/L respectively, the two years operating results of the WWTS demonstrate that the MBR process is both effective and efficient in meeting the water discharge and reuse quality requirements at the airport.

We present a case of pulmonary cryptococcosis presenting as wandering multiple bilateral shadows and hilar and mediastinal lymph node enlargement in which the fluconazole treatment suppressed the symptoms. This case illustrates the complex nature of immunological responses in the lungs and highlights the need to consider the existence of cryptococcal allergies.

压力性溃疡（PU）作为截瘫、昏迷及各种原因导致的长时间卧床患者的常见并发症，从最初的理论研究到现在的临床实践，其治疗方法产生了重大变化。负压创面疗法(NPWT）作为近20年来兴起的技术，其封闭、负压等特点，可以针对性作用于PU病程中的各种机制，在治疗PU方面取得了良好的临床效果。本文就PU的病因及发病机制研究进展及NPWT在PU治疗中的作用做一综述。

Compared with other methods, NN (neural network) model in water quality evaluation had better performance in the application to water quality assessment. In this paper, In order to improve the NN model's performance, arithmetic, determination of hidden layer nodes amount and the training samples were optimized. Gradient descending arithmetic added by momentum and self-adaptive learning rate was chosen. The amount of nodes in network's hidden layer was optimized by pilot calculation arithmetic based on empirical equation. Training samples was extended by random differential in critical value space of grades to improve model's robustness and veracity of distinguishing. When it was used to evaluate the water quality of Qingdao Dagu river, the improved ANN (artificial neural network) model displayed a good performance.