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Hongping Ba, Baihua Li, Xiaoyan Li, Cheng Li, Anlin Feng, Yazhen Zhu, Jing Wang, Zhuoya Li, Bingjiao Yin
Myeloid-derived suppressor cells (MDSCs) accumulated in tumor sites promote immune evasion. We found that TNFR deficiency-induced rejection of transplanted tumor was accompanied with markedly decreased accumulation of MDSCs. However, the mechanism(s) behind this phenomenon is not completely understood. Here, we demonstrated that TNFR deficiency did not affect the amount of MDSCs in bone marrow (BM), but decreased accumulation of Gr-1(+)CD11b(+) MDSCs in the spleen and tumor tissues. The chemotaxis of Tnfr(-/-) MDSCs was prominently decreased in response to both tumor cell culture supernatants and tumor tissue homogenates from Tnfr(-/-) and wild-type mice, indicating an effect of TNFR signaling on chemokine receptor expression in MDSCs...
January 13, 2017: International Immunopharmacology
Min-Gyu Sung, Bongsoo Lee, Chul Woong Kim, Kibok Nam, Yong Keun Chang
In the present study, a novel process-based cultivation system was designed to improve lipid productivity of Nannochloropsis gaditana, an oleaginous microalga that has high potential for biofuel production. Specifically, four flat-panel photobioreactors were connected in series, and this system was subjected to continuous chemostat cultivation by feeding fresh medium to the first reactor at dilution rates of 0.028 and 0.056day(-1), which were determined based on Monod kinetics. The results show that the serially connected photobioreactor system achieved 20...
December 30, 2016: Bioresource Technology
Juan Carlos Castilla
The paper centers on environmental practical ethic point of views according to a professional ecologist. Ecology and the science of Socio-ecology are defined. The framework of the Millennium Ecosystem Assessment initiative (MA 2003), including the use of ecosystems as the environmental unit of analysis, ecosystem services and human well-being as the center for assessment are discussed. Common-pool resources (CPR) and the allegory of the tragedy of the commons are used to illustrate main scientific and ethical environmental approaches, and above all to highlight the case of climate change, considering ″air-atmosphere″ as a CPR...
September 2016: Cuadernos de Bioética: Revista Oficial de la Asociación Española de Bioética y Ética Médica
Jeffrey Burkhardt
Food and agricultural systems are in large part driven by technology. Together with public policy, the kinds of technologies that are induced into, or chosen by actors in, food systems, dictates their structure and activities. The ″Big Story″ or ideology which underlies research, development and adoption of technologies provides the justification for choices we make about the future of the food system. A combination of productionism -more is better, and ″feed the world″- is what governs, and seems to be what will govern Western food systems...
September 2016: Cuadernos de Bioética: Revista Oficial de la Asociación Española de Bioética y Ética Médica
Ronald Sandler
*Portions of this article are drawn from: Sandler, R. Environmental Ethics: Theory in Practice, Oxford University Press, New York, in press. In this article I consider contrasting views on the implications of rapid, macroscale anthropogenic change for environmental ethics, particularly ecosystem management, species conservation, and environmental virtue. I begin by reviewing the Anthropocene debate, which has become a primary point of discourse on whether we ought to embrace a more interventionist stance regarding ecosystem management and species conservation...
September 2016: Cuadernos de Bioética: Revista Oficial de la Asociación Española de Bioética y Ética Médica
Yujia Zhao, Alireza Fatehi, Biao Huang
This paper is concerned with robust identification of processes with time-varying time delays. In reality, the delay values do not simply change randomly, but there is a correlation between consecutive delays. In this paper, the correlation of time delay is modeled by the transition probability of a Markov chain. Furthermore, the measured data are often contaminated by outliers, and therefore, t-distribution is adopted to model the measurement noise. The variational Bayesian (VB) approach is applied to estimate the model parameters along with time delays...
January 10, 2017: IEEE Transactions on Cybernetics
Yiping Liu, Dunwei Gong, Jing Sun, Yaochu Jin
Most existing multiobjective evolutionary algorithms experience difficulties in solving many-objective optimization problems due to their incapability to balance convergence and diversity in the high-dimensional objective space. In this paper, we propose a novel many-objective evolutionary algorithm using a one-by-one selection strategy. The main idea is that in the environmental selection, offspring individuals are selected one by one based on a computationally efficient convergence indicator to increase the selection pressure toward the Pareto optimal front...
January 9, 2017: IEEE Transactions on Cybernetics
Biao Xu, Yong Zhang, Dunwei Gong, Yinan Guo, Miao Rong
Dynamic multi-objective optimization problems (DMOPs) not only involve multiple conflicting objectives, but these objectives may also vary with time, raising a challenge for researchers to solve them. This paper presents a cooperative co-evolutionary strategy based on environment sensitivities for solving DMOPs. In this strategy, a new method that groups decision variables is first proposed, in which all the decision variables are partitioned into two subcomponents according to their interrelation with environment...
January 16, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
Jiawei Luo, Gen Xiang, Chu Pan
It is well known that regulators known as microRNA (miRNA) and transcription factor (TF) have been found to play an important role in gene regulation. However, there are few researches of collaborative regulatory (co-regulatory) mechanism between miRNA and TF on system level (function level). Meanwhile, recent advances in high-throughput genomic technologies have enabled researchers to collect diverse large-scale genomic data, which can be used to study the co-regulatory mechanism between miRNA and TF. In this paper, we propose a novel method called SNCoNMF (Sparse Network regularized non-negative matrix factorization for Co-regulatory modules identification) which adopts multiple non-negative matrix factorization framework to identify co-regulatory modules including miRNAs, TFs and genes...
January 9, 2017: IEEE Transactions on Nanobioscience
Fabio Buttussi, Luca Chittaro
The increasing availability of head-mounted displays (HMDs) for home use motivates the study of the possible effects that adopting this new hardware might have on users. Moreover, while the impact of display type has bee respectively representative of: (i) desktop VR (a standard desktop monitor), (ii) many setups for immersive VR used in the literature (an HMD with narrow field of view and a 3-DOF tracker), and (iii) new setups for immersive home VR (an HMD with wide field of view and 6-DOF tracker). We assessed effects on knowledge gain, and different self-reported measures (self-efficacy, engagement, presence)...
January 16, 2017: IEEE Transactions on Visualization and Computer Graphics
Jiansheng Chen, Zhengqin Li, Bo Huang
In this paper, we present a superpixel segmentation algorithm called linear spectral clustering (LSC), which is capable of producing superpixels with both high boundary adherence and visual compactness for natural images with low computational costs. In LSC, a normalized cuts based formulation of image segmentation is adopted using a distance metric that measures both the color similarity and the space proximity between image pixels. However, rather than directly using the traditional eigen-based algorithm, we approximate the similarity metric through a deliberately designed kernel function such that pixel values can be explicitly mapped to a high-dimensional feature space...
January 11, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
Lukas Krasula, Patrick Le Callet, Karel Fliegel, Milos Klima
Most of the effort in image quality assessment (QA) has been so far dedicated to the degradation of the image. However, there are also many algorithms in the image processing chain that can enhance the quality of an input image. These include procedures for contrast enhancement, deblurring, sharpening, up-sampling, denoising, transfer function compensation, etc. In this work, possible strategies for the quality assessment of sharpened images are investigated. This task is not trivial because the sharpening techniques can increase the perceived quality, as well as introduce artifacts leading to the quality drop (over-sharpening)...
January 10, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
Zhengguo Li, Zhe Wei, Changyun Wen, Jinghong Zheng
Multi-scale exposure fusion is an effective image enhancement technique for a high dynamic range (HDR) scene. In this paper, a new multi-scale exposure fusion algorithm is proposed to merge differently exposed low dynamic range (LDR) images by using the weighted guided image filter (WGIF) to smooth the Gaussian pyramids of weight maps for all the LDR images. Details in the brightest and darkest regions of the HDR scene are preserved better by the proposed algorithm without relative brightness change in the fused image...
January 16, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
Wen-Yan Lin, Fan Wang, Ming-Ming Cheng, Sai-Kit Yeung, Philip H S Torr, Minh N Do, Jiangbo Lu
A key challenge in feature correspondence is the difficulty in differentiating true and false matches at a local descriptor level. This forces adoption of strict similarity thresholds that discard many true matches. However, if analyzed at a global level, false matches are usually randomly scattered while true matches tend to be coherent (clustered around a few dominant motions), thus creating a coherence based separability constraint. This paper proposes a non-linear regression technique that can discover such a coherence based separability constraint from highly noisy matches and embed it into a correspondence likelihood model...
January 16, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
Shangwen Li, Sanjay Purushotham, Chen Chen, Yuzhuo Ren, C-C Jay Kuo
Textual data such as tags, sentence descriptions are combined with visual cues to reduce the semantic gap for image retrieval applications in today's Multimodal Image Retrieval (MIR) systems. However, all tags are treated as equally important in these systems, which may result in misalignment between visual and textual modalities during MIR training. This will further lead to degenerated retrieval performance at query time. To address this issue, we investigate the problem of tag importance prediction, where the goal is to automatically predict the tag importance and use it in image retrieval...
January 11, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
Lingqiao Liu, Peng Wang, Chunhua Shen, Lei Wang, Anton van den Hengel, Chao Wang, Heng Tao Shen
Deriving from the gradient vector of a generative model of local features, Fisher vector coding (FVC) has been identified as an effective coding method for image classification. Most, if not all, FVC implementations employ the Gaussian mixture model (GMM) as the generative model for local features. However, the representative power of a GMM can be limited because it essentially assumes that local features can be characterized by a fixed number of feature prototypes, and the number of prototypes is usually small in FVC...
January 10, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
Xingquan Zou, Shuai Wei, Joshua Jasensky, Minyu Xiao, Qiuming Wang, Charles L Brooks, Zhan Chen
Applications of graphene have extended into areas of nanobio-technology such as nanobio-medicine, nanobio-sensing, as well as nanoelectronics with biomolecules. These applications involve interactions between proteins, peptides, DNA, RNA etc. and graphene, therefore understanding such molecular interactions is essential. For example, many applications based on using graphene and peptides require peptides to interact with (e.g., noncovalently bind to) graphene at one end, while simultaneously exposing the other end to the surrounding medium (e...
January 16, 2017: Journal of the American Chemical Society
Anoushka Afonso, Sabine Oskar, Kay See Tan, Joseph J Disa, Babak J Mehrara, Jihan Ceyhan, Joseph H Dayan
BACKGROUND: Enhanced recovery pathways (ERPs) have been shown to aid in patient recovery and improve outcomes in many surgical settings. At present, there is limited data available regarding the use and feasibility of ERPs for patients undergoing microsurgical breast reconstruction. We sought to assess patient outcomes before and after the introduction of an ERP that was adopted by multiple surgeons at a single cancer center. METHODS: A multidisciplinary ERP was developed for patients undergoing deep inferior epigastric perforator (DIEP) or muscle-sparing free transverse rectus abdominis myocutaneous (TRAM) flap breast reconstruction...
January 12, 2017: Plastic and Reconstructive Surgery
Fernando Riosmena, Randall Kuhn, Warren C Jochem
Despite being newcomers, immigrants often exhibit better health relative to native-born populations in industrialized societies. We extend prior efforts to identify whether self-selection and/or protection explain this advantage. We examine migrant height and smoking levels just prior to immigration to test for self-selection; and we analyze smoking behavior since immigration, controlling for self-selection, to assess protection. We study individuals aged 20-49 from five major national origins: India, China, the Philippines, Mexico, and the Dominican Republic...
January 13, 2017: Demography
Bernard A Liu, Mari Ogiue-Ikeda, Kazuya Machida
The Src Homology 2 (SH2) domain lies at the heart of phosphotyrosine signaling, coordinating signaling events downstream of receptor tyrosine kinases (RTKs), adaptors, and scaffolds. Over a hundred SH2 domains are present in mammals, each having a unique specificity which determines its interactions with multiple binding partners. One of the essential tools necessary for studying and determining the role of SH2 domains in phosphotyrosine signaling is a set of soluble recombinant SH2 proteins. Here we describe methods, based on a broad experience with purification of all SH2 domains, for the production of SH2 domain proteins needed for proteomic and biochemical-based studies such as peptide arrays, mass-spectrometry, protein microarrays, reverse-phase microarrays, and high-throughput fluorescence polarization (HTP-FP)...
2017: Methods in Molecular Biology
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