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Lu Xu, Xiaofang Che, Ying Wu, Na Song, Sha Shi, Shuo Wang, Ce Li, Lingyun Zhang, Xinlian Zhang, Xiujuan Qu, Yuee Teng
Neoadjuvant chemotherapy (NAC) is of great importance for patients with triple-negative breast cancer (TNBC) and the achievement of pathological complete response (pCR) to NAC in TNBC patients indicates survival benefits. However, the identification of reliable predictive biomarkers of pCR to NAC in TNBC patients remains an urgent and largely unattended medical issue. In the present study, we evaluated the differentially expressed genes (DEGs) between pCR and non-pCR patients after doxorubicin/cyclophosphamide therapy, followed by paclitaxel pre-operative treatment in 64 TNBC patients recorded in the GSE41998 dataset of Gene Expression Omnibus and identified 118 DEGs...
May 2018: Oncology Reports
Mingyang Shang, Bing Han, Chibiao Ding, Jili Sun, Tao Zhang, Lijia Huang, Dadi Meng
Spotlight synthetic aperture radar (SAR) is a proven technique, which can provide high-resolution images as compared to those produced by traditional stripmap SAR. This paper addresses a high-resolution SAR focusing experiment based on Gaofen-3 satellite (GF-3) staring data with about 55 cm azimuth resolution and 240 MHz range bandwidth. In staring spotlight (ST) mode, the antenna always illuminates the same scene on the ground, which can extend the synthetic aperture. Based on a two-step processing algorithm, some special aspects such as curved-orbit model error correction, stop-and-go correction, and antenna pattern demodulation must be considered in image focusing...
March 22, 2018: Sensors
Lingyu Chen, Youxing Su, Wenbin Luo, Xuemin Hong, Jianghong Shi
The deployment density and computational power of small base stations (BSs) are expected to increase significantly in the next generation mobile communication networks. These BSs form the mobile edge network, which is a pervasive and distributed infrastructure that can empower a variety of edge/fog computing applications. This paper proposes a novel edge-computing application called explicit caching, which stores selective contents at BSs and exposes such contents to local users for interactive browsing and download...
March 22, 2018: Sensors
Safa Ouerghi, Rémi Boutteau, Xavier Savatier, Fethi Tlili
In this paper, we address the problem of vehicle localization in urban environments. We rely on visual odometry, calculating the incremental motion, to track the position of the vehicle and on place recognition to correct the accumulated drift of visual odometry, whenever a location is recognized. The algorithm used as a place recognition module is SeqSLAM, addressing challenging environments and achieving quite remarkable results. Specifically, we perform the long-term navigation of a vehicle based on the fusion of visual odometry and SeqSLAM...
March 22, 2018: Sensors
Kexin Wang, Xiang Wen, Dibo Hou, Dezhan Tu, Naifu Zhu, Pingjie Huang, Guangxin Zhang, Hongjian Zhang
In water-quality, early warning systems and qualitative detection of contaminants are always challenging. There are a number of parameters that need to be measured which are not entirely linearly related to pollutant concentrations. Besides the complex correlations between variable water parameters that need to be analyzed also impairs the accuracy of quantitative detection. In aspects of these problems, the application of least-squares support vector machines (LS-SVM) is used to evaluate the water contamination and various conventional water quality sensors quantitatively...
March 22, 2018: Sensors
Ji-An Luo, Si-Wei Pan, Dong-Liang Peng, Zhi Wang, Yan-Jun Li
A constrained least-squares (CLS) 3D source localization method is presented for acoustic sensor networks with sensor position errors. The proposed approach uses angles of arrivals (AOAs) and gain ratios of arrival (GROAs) measured simultaneously at each node to estimate the source position jointly. Compared to AOA-only localization methods, the GROAs can be used in conjunction with AOA measurements so as to get more accurate results by exploiting the geometrical relationship between these two measurements...
March 22, 2018: Sensors
Reza Rasti, Alireza Mehridehnavi, Hossein Rabbani, Fedra Hajizadeh
The present research intends to propose a fully automatic algorithm for the classification of three-dimensional (3-D) optical coherence tomography (OCT) scans of patients suffering from abnormal macula from normal candidates. The method proposed does not require any denoising, segmentation, retinal alignment processes to assess the intraretinal layers, as well as abnormalities or lesion structures. To classify abnormal cases from the control group, a two-stage scheme was utilized, which consists of automatic subsystems for adaptive feature learning and diagnostic scoring...
March 2018: Journal of Biomedical Optics
Tobias Bexelius, Antti Sohlberg
OBJECTIVE: Statistical SPECT reconstruction can be very time-consuming especially when compensations for collimator and detector response, attenuation, and scatter are included in the reconstruction. This work proposes an accelerated SPECT reconstruction algorithm based on graphics processing unit (GPU) processing. METHODS: Ordered subset expectation maximization (OSEM) algorithm with CT-based attenuation modelling, depth-dependent Gaussian convolution-based collimator-detector response modelling, and Monte Carlo-based scatter compensation was implemented using OpenCL...
March 21, 2018: Annals of Nuclear Medicine
Adnane Aouidate, Adib Ghaleb, Mounir Ghamali, Samir Chtita, Abdellah Ousaa, M'barek Choukrad, Abdelouahid Sbai, Mohammed Bouachrine, Tahar Lakhlifi
BACKGROUND: Quantitative structure-activity relationship (QSAR) was carried out to study a series of aminooxadiazoles as PIM1 inhibitors having pki ranging from 5.59 to 9.62 (ki in nM). The present study was performed using Genetic Algorithm method of variable selection (GFA), multiple linear regression analysis (MLR) and non-linear multiple regression analysis (MNLR) to build unambiguous QSAR models of 34 substituted aminooxadiazoles toward PIM1 inhibitory activity based on topological descriptors...
March 22, 2018: Chemistry Central Journal
Khalil Ur Rehman, Noor Ul Saba, M Y Malik, Iffat Zehra
The current paper contains the simultaneous analysis of both Newtonian and non-Newtonian nanofluid models. The fluid flow is achieved by considering the no-slip condition subject to a stretched cylindrical surface. The flow regime manifests with pertinent physical effects, namely temperature stratification, concentration stratification, thermal radiation, heat generation, magnetic field, dual convection and chemical reaction. The strength of fluid temperature and nanoparticles concentration adjacent to an inclined cylindrical surface is assumed to be higher than the ambient flow field...
March 22, 2018: European Physical Journal. E, Soft Matter
Azadeh Ahmadi, Zahra Fatemi, Sara Nazari
Using the multivariate statistical methods, this study interprets a set of data containing 23 water quality parameters from 10 quality monitoring stations in Karkheh River located in southwest of Iran over 5 years. According to cluster analysis, the stations are classified into three classes of quality, and the most important factors on the whole set of parameters and each class are determined by the help of factor analysis. The results indicate the effects of natural factors, soil weathering and erosion, urban and human wastewater, agricultural and industrial wastewater on water quality at different levels and any location...
March 22, 2018: Environmental Monitoring and Assessment
Tal Aharoni, Shy Shoham
Holographic speckle is a major impediment to computer-generated holographic (CGH) projections in applications ranging from display, optical tweezers, and machining to optogenetic neural control. We present an iterative phase retrieval algorithm that allows the projection of amplitude-controlled speckle-free one-dimensional patterns with a high degree of pattern uniformity. The algorithm, termed the weighted Gerchberg-Saxton with phase-control (GSW-PC), is shown to have the ability to simultaneously control both the phase and amplitude of projected patterns with high diffraction efficiencies...
April 2018: Neurophotonics
Paraskevi Chra, Joseph Papaparaskevas, Eleni Papadogeorgaki, George Panos, Michalis Leontsinidis, George Arsenis, Athanassios Tsakris
Background: The aim of the present study was to determine the prevalence of Mycoplasma genitalium (MG) infection among individuals at high risk for sexually-transmitted diseases (STDs) at a major urban STD clinic in Athens, in view of the lack of data pertaining to this infection in Greece. Methods: Urethral and cervical samples from 176 individuals consecutively attending the clinic and agreeing to participate were prospectively collected and tested for MG infection using conventional PCR and TaqMan Real-Time PCR...
March 2018: Germs
Sukeshi Patel Arora, Devalingam Mahalingam
Over the past few years, the role of immunotherapy in colorectal cancer (CRC) has expanded, specifically in subsets of CRC with microsatellite instability (MSI) for which newer agents, such as programmed death-1 (PD-1) inhibitors, are efficacious. While other immunotherapeutic agents are more immature in development, they have the potential to enhance the efficacy of PD-1 inhibitors and play a role in the treatment algorithm for all subsets of CRC patients. In this review, we will discuss immunotherapeutic agents in development in patients with CRC...
February 2018: Journal of Gastrointestinal Oncology
T Nimmy John, Subha D Puthankattil, Ramshekhar Menon
Alzheimer's disease (AD), a cognitive disability is analysed using a long range dependence parameter, hurst exponent (HE), calculated based on the time domain analysis of the measured electrical activity of brain. The electroencephalogram (EEG) signals of controls and mild cognitive impairment (MCI)-AD patients are evaluated under normal resting and mental arithmetic conditions. Simultaneous low pass filtering and total variation denoising algorithm is employed for preprocessing. Larger values of HE observed in the right hemisphere of the brain for AD patients indicated a decrease in irregularity of the EEG signal under cognitive task conditions...
April 2018: Cognitive Neurodynamics
Siyang Qin, Roberto Manduchi
We introduce an algorithm for word-level text spotting that is able to accurately and reliably determine the bounding regions of individual words of text "in the wild". Our system is formed by the cascade of two convolutional neural networks. The first network is fully convolutional and is in charge of detecting areas containing text. This results in a very reliable but possibly inaccurate segmentation of the input image. The second network (inspired by the popular YOLO architecture) analyzes each segment produced in the first stage, and predicts oriented rectangular regions containing individual words...
November 2017: Proceedings of the International Conference on Document Analysis and Recognition
Inmaculada Arostegui, Nerea Gonzalez, Nerea Fernández-de-Larrea, Santiago Lázaro-Aramburu, Marisa Baré, Maximino Redondo, Cristina Sarasqueta, Susana Garcia-Gutierrez, José M Quintana
Introduction: Colorectal cancer is one of the most frequently diagnosed malignancies and a common cause of cancer-related mortality. The aim of this study was to develop and validate a clinical predictive model for 1-year mortality among patients with colon cancer who survive for at least 30 days after surgery. Methods: Patients diagnosed with colon cancer who had surgery for the first time and who survived 30 days after the surgery were selected prospectively. The outcome was mortality within 1 year...
2018: Clinical Epidemiology
Jatin P Shah
With advancing knowledge and new data available, periodic revisions in the TNM staging system is essential. In addition, new disease entities entering in the spectrum of neoplastic diseases demand that a staging system be developed to facilitate their treatment algorithms and outcomes. The most recent revisions in the AJCC/UICC staging system were published in the eighth edition of the AJCC staging manual. This presentation gives a historical background on the AJCC/UICC staging process and highlights major changes introduced in the eighth edition for cancers of the head and neck...
March 2018: Indian Journal of Surgical Oncology
Chandoshi Mukherjee, Ajith Kumar, Arijit Mitra
To discuss diagnostic strategies and management options in cases with suspected valsalva maculopathy (VM), to optimize visual outcome. We describe six cases with suspected VM. The preretinal hemorrhage resolved spontaneously in four out of six patients, without any intervention. One patient underwent neodymium-doped yttrium aluminum garnet hyaloidotomy and the other proceeded to have a vitrectomy for persistent diffuse vitreous hemorrhage. Considering the evidence available and the outcomes of our patients, we have devised a treatment algorithm for treating VM, which is elaborated in this article...
January 2018: Oman Journal of Ophthalmology
L R Brewster, J J Dale, T L Guttridge, S H Gruber, A C Hansell, M Elliott, I G Cowx, N M Whitney, A C Gleiss
Discerning behaviours of free-ranging animals allows for quantification of their activity budget, providing important insight into ecology. Over recent years, accelerometers have been used to unveil the cryptic lives of animals. The increased ability of accelerometers to store large quantities of high resolution data has prompted a need for automated behavioural classification. We assessed the performance of several machine learning (ML) classifiers to discern five behaviours performed by accelerometer-equipped juvenile lemon sharks ( Negaprion brevirostris ) at Bimini, Bahamas (25°44'N, 79°16'W)...
2018: Marine Biology
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