bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prediction of the clinicopathological subtypes of breast cancer using a Fisher discriminant analysis model based on radiomic features ofdiffusion-weighted MRI
Authors: Ni Ming , Zhou Xiaoming , Liu Jingwei , Yu Haiyang , Gao Yuanxiang , Zhang Xuexi , Li Zhiming 
Published: May 2020

Abstract
Background: The clinicopathological classification of breast cancer is proposed according to therapeutic purposes. It is simplified and can be conducted easily in clinical practice, and this subtyping undoubtedly contributes to the treatment selection of breast cancer. This study aims to investigate the feasibility of using a Fisher discriminant analysis model based on radiomic features of diffusion-weighted MRI for predicting the clinicopathological subtypes of breast cancer.Methods: Patients who underwent breast magnetic resonance imaging were confirmed by retrieving data from our institutional picture archiving and communication system (PACS) between March 2013 and September 2017. Five clinicopathological subtypes were determined based on the status of ER, PR, HER2 and Ki-67 from the immunohistochemical test. The radiomic features of diffusion-weighted imaging were derived from the volume of interest (VOI) of each tumour. Fisher discriminant analysis was performed for clinicopathological subtyping by using a backward selection method. To evaluate the diagnostic performance of the radiomic features, ROC analyses were performed to differentiate between immunohistochemical biomarker-positive and -negative groups.Results: A total of 84 radiomic features of four statistical methods were included after preprocessing. The overall accuracy for predicting the clinicopathological subtypes was 96.4% by Fisher discriminant analysis, and the weighted accuracy was 96.6%. For predicting diverse clinicopathological subtypes, the prediction accuracies ranged from 92% to 100%. According to the cross-validation, the overall accuracy of the model was 82.1%, and the accuracies of the model for predicting the luminal A, luminal BHER2-, luminal BHER2+, HER2 positive and triple negative subtypes were 79%, 77%, 88%, 92% and 73%, respectively. According to the ROC analysis, the radiomic features had excellent performance in differentiating between different statuses of ER, PR, HER2 and Ki-67.Conclusions: The Fisher discriminant analysis model based on radiomic features of diffusion-weighted MRI is a reliable method for the prediction of clinicopathological breast cancer subtypes.
Peri-implant cartilage and bone histological changes following treatment of focal osteochondral defects in the femoral head with polyether ether ketone implants versus cobalt chromium molybdenum alloy implants: assessment in a goat model
Authors: Yuan Zhiguo , Zhang Wei , Meng Xiangchao , Zhang Jue , TengLong Teng , Zhao Yaochao , Yang Chunxi , Lin Ruixin , Yue Bing , Wang You 
Published: May 2020

Abstract
Objective: This study aimed to quantitatively investigate the peri-implant histology of applying defect-size polyether ether ketone (PEEK) implant for the treatment of localized osteochondral defects in the femoral head and compared it with cobalt chromium molybdenum (CoCrMo) alloy implant.Methods: A femoral head osteochondral defect model was created in the left hips of goats (n=12). Defects were randomly treated by immediate placement of a PEEK (n=6) or CoCrMo implant (n=6). The un-operated right hip joints served as a control. Goats were sacrificed at 12 weeks. Periprosthetic cartilage quality was semi-quantitatively analyzed macroscopically and microscopically. Implant osseointegration was measured by micro-CT and histomorphometry.Results: The modified macroscopic articular evaluation score in the PEEK group was lower than that in the CoCrMo group (p<0.05), and the histological score of the periprosthetic and acetabular cartilage in the PEEK group was lower than that in the CoCrMo group (P<0.05). The mean bone-implant contact for PEEK implants was comparable with that for CoCrMo alloy implants at 12 weeks.Conclusions: A PEEK implant for the treatment of local osteochondral defect in the femoral head demonstrated effective fixation and superior in vivo cartilage protection compared with an identical CoCrMo alloy implant.
The association between bone metabolism markers and hypertension in osteoporotic patients
Authors: Hu Zhuoqing , Yang Kevin , Wei Hao , Tang Zheng , Hu Zhihui , Chen Baitong , Li Miaosheng , Su Chengbiao , Cai De , Xu Jinrong 
Published: May 2020

Abstract
Background.

Hypertension may be related to osteoporosis through increasing parathyroid hormone (PTH) and catecholamines which promote osteoclast differentiation and bone resorption. There are previous studies on the relationship between hypertension and bone turnover markers but they are still unclear. The aim of the case study is to examine the association between hypertension and the level of bone metabolism markers in osteoporotic patients.
Methods.

A cross-sectional study of 518 subjects was done to see the association between hypertension and the level of osteocalcin (OC), bone-specific alkaline phosphatase (B-ALP), Tartrate-resistant acid phosphatase (TRAP.5B) and 25-hydroxy vitamin D(25-OHD). All of the subjects were divided into two groups for analyzation: with or without hypertension. Subgroup analysis was based on sex for further analysis. The associations were assessed by the univariate analysis and multivariate regression analysis. Potential confounders were also adjusted for multivariate regression analysis.
Results.

There were 243(46.9%) osteoporosis patients with hypertension. Both univariate and multivariate analysis have suggested that lower OC and 25-OHD levels were associated with hypertension. The potential confounders-adjusted OC level was significantly lower in hypertensive female group than that in the female without hypertension group(β= -0.20, 95%CI= -0.37 to -0.03, P = 0.02 in final adjust model). The potential confounders-adjusted 25-OHD level was significantly lower in hypertensive male group than that in male without hypertension group (β= -0.34, 95%CI= -0.58 to -0.10, P = 0.01 in final adjust model). The B-ALP and TRACP.5B levels were positively associated with hypertension in univariate or multivariate analysis. In subgroup analysis, there was a consistent correlation between hypertension and B-ALP level in females and male subjects, but there was no consistent correlation between consistent correlation and TRACP.5B. However, all the correlations had no statistical significance for the B-ALP and TRACP.5B.
Conclusions.

In this study, hypertension was associated with low level of OC in female group and hypertension was associated with low level of 25-OHD level in male which show that OC and 25-OHD may play a role in bone loss.
Comparison of Recombinant Human Bone Morphogenetic Protein-2 versus Iliac Crest Autograft in Anterior Cervical Discectomy and Fusion
Authors: Shi Jinhui , Huang Yonghui , Song Sheng , Yuan Feng , Liu Gang , Bian Jian , Si Meng , Zhou Feng , Zhu Xuesong , Yang Huilin , Jiang Weimin 
Published: May 2020

Abstract
Backgroud The use of rhBMP-2 in anterior cervical discectomy and fusion (ACDF) is still “off-label” therapy because of higher incidence of potential complications such as adverse swelling, dysphagia, and airway compromise. The purpose of this study is to investigate whether the low dose rhBMP-2 (0.5 mg/level) decreases the incidence and severity of local complications in ACDF. Methods 173 consecutively patients from June 2015 to March 2016 at seven participating centers in the China were enrolled. All the patients had primary one- or two-level ACDF with either rhBMP-2(BMP, n=110) or iliac-crest bone autograft (IGB, n=63) were analyzed. Patients in both groups had compared preoperative pain and disability. The follow up timing was postoperative third days, postoperative-1, 3, 6 and 12 months. Results Patient demographics have no significantly difference between the BMP group and IGB group pre-operation (P>0.05). No significant difference in overall dysphagia incidence between the two groups (p > 0.05). There was significant difference of PSTS at C3 level between two groups at all interval time (P<0.01). There was significant difference of PSTS at C6 level at postoperative third days (P<0.01) and 3 months (0.010.05). No pseudarthrosis in both Groups. No significant difference in VAS scores, JOA and NDI .scores between two groups (P>0.05). Conclusion The adverse events associated with low dose rhBMP-2 for one- and two-level ACDF are rare. We recommend placing the rhBMP-2 carrier in the center of cage, and bilateral coverage of the carrier with excised local osteophytes.
Chinese Herbal Medicine for Treatment of Hiv/aids-associated Diarrhea: a Protocol of Systematic Review and Meta-analysis of Randomized Clinical Trails
Authors: Chen Bai-lin , Zhang Ming-zhu , Huang Zi-wei , Zhang Hong-rui , Xu Chang , Li Jing , Liu Zhen-wei , Jiang Feng , Li Xun , Liu Jian-Ping 
Published: May 2020

Abstract
Background: Diarrhea is a common symptom of acquired immune deficiency syndrome (AIDS) occurring either at the early stage of human immunodeficiency virus (HIV) infection or advanced stage, generally not fetal but seriously affect the quality of life.The treatment of HIV/AIDS-associated diarrhea based on traditional Chinese medicine (TCM) syndrome differentiation or combined with conventional therapy has showed better effect, and improve the immune status of patients to a certain extent, which may have a good application prospect. This is a protocol for a systematicreview on health care intervention. The objective is toassess the beneficial effect and safety of Chinese herbal medicine for people with HIV/AIDS-associated diarrhea.Methods: We will search and include randomized controlled trials comparing Chinese herbal medicine with placebo or other active interventions, regardless of language and publication status. The primary outcome will be diarrhea frequency (per day or per week) and fecal character. Databases to be searched include The Cochrane Central Register of Controlled Trials (CENTRAL) in the Cochrane Library; PubMed;China National Knowledge Infrastructure (CNKI); Wanfang Data; Chinese Biomedical Literature Database (SinoMed) and China Science and Technology Journal database (VIP). For each step, two reviewers will independently perform the selection of studies, data extractionand assess their methodological quality by the Cochrane risk of bias tool. We will analyze data, and performmeta-analyses if data available.Discussion: By providing current evidence of the beneficial effect and safety of Chinese herbal medicine for people with HIV/AIDS-associated diarrhea,we intend toidentify potentialtherapeutic modality that may be of benefits so to inform practice.
Prognostic Value of Genes Related with Tumor Microenvironment in Ovarian Cancer
Authors: Li Shimei , Yao Jiyi , Zhang Shen , Zhou Xinchuan , Zhao Xinbao , Di Na , Hao Shaoyun , Zhi Hui 
Published: May 2020

Abstract
Background

Ovarian cancer (OV) is the fifth leading cause of cancer death among females. Growing evidence supports a key role of tumor microenvironment in growth, progress, and metastasis of OV. However, the impacts of gene expression signatures related with OV microenvironment on prognosis have not been well-established . This study aimed to apply ESTIMATE algorithm to extract genes related with tumor microenvironment that predicted poor outcomes in OV patients.

Methods

The gene expression profile of OV samples were downloaded from The Cancer Genome Atlas (TCGA) database. The immune scores and stromal scores of 469 OV samples were available based on the ESTIMATE algorithm. To better understand impacts of gene expression signatures related with OV microenvironment on prognosis, these samples were categorized based on their ESTIMATE scores into high and low score groups. A different OV cohort from the Gene Expression Omnibus (GEO) database was used for external validation.

Results

The molecular subtypes in OV patients were correlated with stromal scores, in which the mesenchymal subtype had the highest stromal scores (p < 0.0001). Poor prognosis were found in patients (especially for patients with overall survivals (OS) < 5 years) with higher stromal score (p = 0.0376). 449 differentially expressed genes (DEGs) in stromal scores group were identified and 26 DEGs were significantly associated with poor prognosis in OV patients (p < 0.05). Eventually, 6 genes have further validated to be significantly associated with poor outcomes in 40 patients from a different OV cohort of GEO database (p < 0.05).

Conclusion

In this study, several genes related with tumor microenvironment that predicted poor prognosis in OV patients were extracted. In addition, some previously overlooked genes could be potential prognostic biomarkers for OV.
Application of support vector machine for the prediction of strip crown in hot strip rolling
Authors: Ji Ya-feng , Song Le-Bao , Yuan Hao , Peng Wen , Li Hua-Ying , Ma Li-Feng 
Published: May 2020

Abstract
In order to enhance the prediction accuracy of the strip crown and improve the quality of final product in the hot strip rolling, an optimized model based upon support vector machine (SVM) is proposed firstly. Meanwhile, for purposes of enriching data information and ensuring data quality, the actual data from a hot-rolled plant are collected to establish prediction model, as well as the prediction performance of models was evaluated by using multiple indicators. Besides, the traditional SVM model and the combined prediction models with the particle swarm optimization (PSO) and the cuckoo search (CS) optimization algorithm are also proposed. Furthermore, the prediction performance comparisons of the three different methods are discussed and validated. The results show that the CS-SVM has the highest prediction accuracy compared to the other two methods, and the root mean squared error (RMSE) of the proposed CS-SVM is 2.05µm, and 98.11% of prediction data have an absolute error below 4.5μm. In addition, the results also demonstrated that the CS-SVM not only with faster convergence speed and higher prediction accuracy but can be well applied to the actual hot strip rolling production.
Visual Servo Control of a Legged Mobile Robot Based on Homography
Authors: Liu Haitao , Zhang Dewei , Wang Xianye , Xiao Juliang 
Published: May 2020

Abstract
Due to the intermittent motion of a legged mobile robot, an additional periodic movement must be introduced that directly affects the image processing accuracy and destabilizes the visual servo control of the robot. To address this problem, this paper investigates a control scheme for the visual servoing of a legged mobile robot equipped with a fixed monocular camera. The kinematics of the legged mobile robot and homography- based visual servoing are employed to allow the robot to achieve the desired pose. By investigating the homographic relationship between the current and desired poses, the approach has no need for transcendental knowledge of the three-dimensional geometry of the target image. The feature points are directly extracted from the images to evaluate the homography matrix. To reduce the effects caused by the intermittent motions of the legged robot, an improved adaptive median filter is proposed. Furthermore, a sliding mode controller is designed, and a Lyapunov-based approach is used to analyze the stability of the control system. With the aid of CoppeliaSim software, a simulation is implemented to verify the effectiveness of the proposed method.
Fault detection and diagnosis method of diesel engine by combining rule-based algorithm and Bayesian/neural networks
Authors: Cai Baoping , Sun Xiutao , Wang Jiaxing , Liu Yonghong , Yang Chao , Kong Xiangdi , Liu Zengkai 
Published: May 2020

Abstract
The stable operation of diesel engine is critical to the normal production of the industry, and the prevention, monitoring and identification of faults are of great significance. At present, the fault research on diesel engine still has some defects, such as only few types of faults diagnosis are identified, the accuracy of fault diagnosis is still low, and fault identification is located at a constant speed. Therefore, a rule-based algorithm for fault diagnosis is proposed. Bayesian networks (BNs) and BP neural networks are used to identify seven faults at different speeds. Changchai EV80 diesel engine is taken as an example, and the feature values are extracted from the vibration signals measured from the cylinder head. The signals are processed by wavelet threshold de-noising and Ensemble Empirical Mode Decomposition (EEMD). The signal-sensitive feature values extracted from the decomposed Intrinsic Mode Function are used to distinguish different faults. After obtaining the feature values, a rule-based algorithm using IF... THEN's logic statement is proposed. BNs and BP neural networks established by parameter learning method are used for fault identification. Furthermore, this paper considers the uncertain factors and the interference of the external environment. Gaussian white noise is added to the raw signal and external excitation interference is applied to the diesel engine when it is running under normal operation condition. The results show that the proposed fault diagnostic method can accurately identify the faults.
Research on high-order flux reconstruction method with adaptive mesh for shock capturing
Authors: Ma Xiuqiang , Xia Jian , Fu Hao 
Published: May 2020

Abstract
High order schemes have been developed for a quite long time, and many famous schemes arise like Discontinuous Galerkin (DG), Spectral Difference (SD) and WENO schemes, etc. The Flux Reconstruction (FR) scheme proposed by Huynh has attracted the attention of researchers for its simplicity and efficiency. It’s written in differential form and bridges the DG and SD schemes, which can be constructed with a proper choice of parameter. In this paper, realize FR scheme based on the framework of the open source Adaptive Mesh Refinement (AMR) library p4est. To capture shock sharply, the performance of Localized Laplacian Artificial Viscosity (LLAV) and In-cell Piecewise Integrated Solution methods are compared. As an important way of reducing computational cost, AMR technique integrated in p4est is also combined with FR. The performance of the developed code is tested in both one dimensional and two dimensional and get some quite attracting results.
Stroke as a an initial presentation of&nbsp;SARS-COV2 infection: a brief report
Authors: buccafusca maria , autunno massimo , cotroneo masina , versace antonio giovanni , nunnari giuseppe 
Published: May 2020

Abstract
The novel Coronavirus 19 infection spread rapidly from Wuhan, Hubei Province – China, to the worldwide, becoming a pandemic. The infection does not cause only flu-like syndrome (fever, dry cough and shortness of breath) and respiratory distress of varying severity but also affects the kidneys, the heart, the nervous system and the circulatory apparatus, causing thromboembolic events. Usually these problems occur in patients with severe respiratory failure admitted to Intensive Care Unit and with pre-existing comorbidities.We report the case of a patient without Covid symptoms who had thrombotic stroke as the presenting features of Coronavirus infection.
The Discourse of Propaganda in Traveloka’s YouTube Advertising Videos
Authors: Akmal Saiful , Jarjani Jarjani , Farida Ita 
Published: May 2020

This present study was conducted to analyze the propaganda techniques used by Traveloka in their YouTube social media advertising strategy. The material of analysis were videos taken from 2015 to 2019. Anaylsis of propaganda techniques proposed by Filene in 1937 and followed by Abd. Kadir, Hasan & Sauffiyan, 2014 were used to identify how Traveloka persuade its customers. Finding shows that Traveloka used six techniques of propaganda in its advertising videos to; glittering generality, plain folks, card staking, visual symbol of power, music of propaganda and arousal of emotion to promote its products. The use of propaganda technique is very likely becoming one of the main reasons behind their customers and target audiences use of their services.
Characterisation of suspended and sedimented particulate matter in blue-green infrastructure ponds
Authors: Krivtsov V. , Arthur S. , Buckman J. , Kraiphet A. , Needham T. , Gu Wanying , Gogoi Prasujya , Thorne C. 
Published: May 2020

Abstract
Blue-green infrastructure (BGI) ponds have an important function of alleviating flood risk and provide water quality improvements among other multiple benefits. Characterisation of bottom sediments and suspended particulate matter (SPM) is understudied, but is indispensable for assessing the ponds' functioning because of their role in biogeochemical cycling and pollutant adsorption. Here we report on the analysis of particle sizes and chemistry from multiple locations. The results have shown that SPM in these ponds includes particles of both biological and abiotic origin, and the in situ produced organic matter constitutes a major part of SPM. The relevance of biological processes is often overlooked, but a combination of scanning electron microscopy (SEM) observations and chemical analysis highlights its primary importance for characterisation of the particulate matter. A considerable proportion of both suspended and sedimented particulates is smaller than 100 microns. There is normally a large fraction of small silt-sized particles, and often a considerable proportion of very fine particles (clay-size). Although for some spectra unimodal distribution has been observed, in many cases the revealed particle size distribution (PSD) was bimodal, and in some instances more than two modes were revealed. A complex PSD would be expected to result from a combination of simple unimodal distributions. Hence the multimodality observed may have reflected contributions from different sources, both abiotic and biological. Furthermore, many smaller particles appear to be interconnected by detrital matter. Among chemical elements routinely detected within the SPM in significant concentrations were Si, Al, Ca, Mg, Fe, K, Mn, P, Cl and S. In a number of cases, however, there were less expected elements such as Ti, Y, Mo, Cr and even Au; these may have reflected the effect of car park and road runoff and/or industrial pollution. Most of these elements (except Mo and Au) and up to 30 others were also routinely detected in sediment samples. Such pollutants as Co, Cu, Ni, Zn and As were detected in bottom sediments of all ponds. There were a number of correlations between pollutants in sediments and the particle's median diameter. However, aggregation leads to large low density flocks and masks correlation of chemicals with SPM particle size. Statistical associations among the elements aided the understanding of their sources and pathways, as well as the underlying biological and abiotic processes. Specifically, our analysis implicated contributions from such sources as allochthonous and autochthonous detritus, roadside and industrial pollution, biologically induced precipitation, and discarded electronics. Elevated levels of rare earth elements (REE) and other trace elements open a possibility of their recovery from the sediments, which should be considered among the multiple benefits of BGI.