Ulcerative colitis (UC) is a significant inflammatory bowel disease caused by an abnormal immune response to gut microbes. However, there are still gaps in our understanding of how and metabolic changes specifically contribute this disease. Our research aims address gap examining mouse colons after inducing ulcerative colitis-like symptoms. Employing single-cell RNA-seq 16 s rRNA amplicon sequencing analyze distinct cell clusters microbiomes the colon at different time points induction with...

To reduce the computational decoding delay of turbo codes, we propose a parallel algorithm for maximum posteriori (MAP) decoders. We divide whole noisy codeword into sub-blocks and use multiple processors to perform sub-block MAP in parallel. Unlike previously proposed approach with overlapping, utilize forward backward variables computed previous iteration provide boundary distributions each decoder. Our scheme depicts asymptotically optimal performance sense that BER is same as regular

Practical application of superposition coding in multiplexing broadcast and unicast for OFDM-based mobile cellular systems is discussed. Superposition coding, whose gain increased as the superposed signals have larger difference signal-to interference-plus-noise ratio, well matched a single-frequency network configuration. Combined with interference cancellation technique, from multiple base stations can be cancelled single step, minimizing to unicast. Issues related scheduling strategy...

Other SectionsAbstractINTRODUCTIONMATERIALS AND METHODSRESULTSDISCUSSIONACKNOWLEDGMENTSABBREVIATIONS USEDFigureReference

Cell type identification is a key step toward downstream analysis of single cell RNA-seq experiments. Although the primary objective to identify known populations, good identifiers should also recognize unknown clusters which may represent previously unidentified subpopulation or tumor cells an phenotype. Herein, we present MarkerCount, utilizes number expressed markers, regardless their expression level. MarkerCount works in both reference- and marker-based mode, where latter existing lists...

Estimation of copy number variation (CNV) and ploidy inference provides valuable insights into the structural clonal characteristics tumor cells in single-cell RNA-seq datasets. Several tools have been developed for these purposes, including CopyKat SCEVAN, but one limitation is their running times, which hinder use large In this study, we present InferPloidy, a faster more accurate tool that operates on top InferCNV. Rather than focusing precise CNV segmentation or discovery intra-tumoral...

In this paper, we propose a hybrid beam-forming and beam-switching technique for OFDM based wireless personal area networks (WPAN). order to compromise between performance computational cost overheads the channel side information feedback, proposed system employs beam-switching, where block using predefined beam codebook is used at transmitter while optimum per-subcarrier receiver. To verify of scheme, effective SNR gain over single antenna transmission investigated along with spectral...

This paper considers a belief propagation algorithm over pairwise graphical models to develop low-complexity iterative multiple-input multiple-output (MIMO) detectors. The model is bipartite graph where pair of variable nodes are related by an observation node represented the bivariate Gaussian function obtained marginalizing posterior joint probability density under input assumption. Specifically, we consider two types models: fully connected and ring-type. graphs sparse, compared with...

Triple-negative breast cancer (TNBC) is a significant clinical challenge due to its aggressive nature and limited treatment options. In search of new targets, not only single genes but also gene pairs involved in protein interactions, we explored the tumor microenvironment (TME) TNBC from retrospective point view, using public single-cell RNA sequencing datasets. A High-resolution Cell type Annotation Tool, HiCAT, was used first identify cell 3-level taxonomies. Tumor cells were then...

In this paper, an orthogonal frequency division multiple access (OFDMA) is considered for the mobile air interface. To reduce reverse link overheads CQI feedback, we consider aggregated sub-channel structure, where a set of adjacent sub-carriers are tied up to be used as unit user-multiplexing and corresponding power/rate allocation. Modeling SNR distribution over bandwidth Rician, channel quality summarized with mean variance gain envelop divided by noise standard deviation. Then, develop...

A MIMO detection algorithm utilizing poly- diagonalization and tail-biting trellis is proposed. Linear detection, such as zero-forcing or minimum mean squared error (MMSE) equalization, basically a channel technique, where interferences from other data streams are decoupled for the separate decoding. It well known, however, that decoders suffer noise enhancement, which causes considerable performance degradation. In this paper, we propose poly-diagonalization of matrix in MMSE senses. The...

Abstract Single-cell RNA-seq enabled in-depth study on tissue micro-environment and immune-profiling, where a crucial step is to annotate cell identity. Immune cells play key roles in many diseases, whereas their activities are hard track due diverse highly variable nature. Existing cell-type identifiers had limited performance for this purpose. We present HiCAT, hierarchical, marker-based identifier utilising gene set analysis statistical scoring given markers. It features successive...

System level performance of OFDM/ OFDMA is evaluated for various system parameters, such as frequency reuse factor, scheduling algorithm and sub-channel structures. Specifically, the generalized two step sub-channel/power allocation algorithm, with either aggregated or distributed structure, first extended to provide proportional fairness. Then, by simulation, sector throughput in practical based cellular environment 1 3, respectively.

Although many models have been proposed to accurately predict the response of drugs in cell lines recent years, understanding genome related drug is also key for completing oncology precision medicine. In this paper, based on cancer line gene expression and data, we established a reliable accurate prediction model found predictor genes some interest. To end, first performed pre-selection Pearson correlation coefficient then used ElasticNet regression fine selection. find more set genes,...

Automatic repeat request (ARQ) is one of the effective techniques against transmission error at medium access control (MAC) layer. An erroneous MAC protocol data unit (MPDU) can be typically retransmitted within a given limit. In order to improve IP-level performance, which directly affects user-perceived quality-of-service (QoS), we propose different ARQ strategy, called 'MSDU-based' scheme, with simple and minor modification from existing concept. We evaluate analytical performance both...

We investigate the impact of co-channel deployment femtocells on existing macro-cellular systems considering techniques to resolve laud neighbor problem. There are several approaches this aim, e.g., femtocell power control, interference coordination, opening access and so on. Among them, coordinated scheduling, including their will be main focus work. In context 3GPP-LTE, we examine under various operational scenarios performance in terms average 5% worst user throughput, a useful measure...

Nicotinamide phosphoribosyl transferase (NAMPT) is required to maintain the NAD+ pool, among which extracellular (e) NAMPT associated with inflammation, mainly mediated by macrophages. However, role of in inflammatory macrophages ulcerative colitis insufficiently understood. Here our analyses single-cell RNA-seq data revealed that levels and CYBB/NOX2 were elevated patients mouse models acute chronic colitis. These findings indicate clinical significance CYBB Further, we found eNAMPT...

Low complexity, iterative MIMO detection algorithms are derived based on pair-wise Markov random fields (MRF). We consider two types, namely, the fully-connected and ring type MRF and, for edge potentials, we use bivariate Gaussian function obtained by marginalizing posterior joint probability density under Gaussian-input assumption. Since corresponding factor graphs has only 2 edges per node, computations much easier than that of ML which is similar to belief propagation algorithm run over...