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The vast majority of the mouse and human genomes consist of repetitive elements (REs), while protein-coding sequences occupy only ∼3 %. It has been reported that the Y chromosomes of both species are highly populated with REs although at present, their complete sequences are not available in any public database. The recent update of the mouse genome database (Build 38.1) from the National Center for Biotechnology Information (NCBI) indicates that mouse chromosome Y is ∼92 Mb in size, which is substantially larger than the ∼16 Mb reported previously (Build 37.2). In this study, we examined how REs are arranged in mouse chromosome Y (Build 38.1) using REMiner-II, a RE mining program. A combination of diverse REs and RE arrays formed large clusters (up to ∼28 Mb in size) and most of them were directly or inversely related. Interestingly, the RE population of human chromosome Y (NCBI Build 37.2-current) was less dense, and the RE/RE array clusters were not evident in comparison to mouse chromosome Y. The annotated gene loci were distributed in five different regions and most of them were surrounded by unique RE arrays. In particular, tandem RE arrays were embedded into the introns of two adjacent gene loci. The findings from this study indicate that the large and interrelated clusters of REs and RE arrays predominantly represent the unique organizational pattern of mouse chromosome Y. The potential interactions among the clusters, which are populated with various interrelated REs and RE arrays, may play a role in the structural configuration and function of mouse chromosome Y. [ABSTRACT FROM AUTHOR]

In heterogeneous network environments, it is very important for users to provide seamless services while satisfying quality-of-service, regardless of the connected access network. In this paper, we apply a concept of ad hoc cooperation for the vertical handoff in the heterogeneous network. For the seamless vertical handoff of mobile nodes, a neighbor ad hoc node assists some parts of the handoff procedures requiring large latency, such as authentication and IP registration procedures. Details of the vertical handover operation using the ad hoc cooperation are presented and its performance is evaluated. Numerical results show that the proposed vertical handoff procedure decreases the service disruption time and the probability of packet loss, compared with the conventional handoff methods that do not consider the cooperation of ad hoc node. [ABSTRACT FROM AUTHOR]

We propose a new location tracking scheme for subscribers on transportation systems (TSs) in which a large number of fast-moving users have the same location as the TS. The group location tracking (GLT) scheme in which a group location update is performed instead of the IS-41's individual location update has been proposed. We propose a distributed GLT (DGLT) scheme based on several virtual visitor location registers (VVLRs) and representative identities. We analyze the GLT and DGLT schemes in view of the database (DB) access cost as welt as the signaling cost under one-dimensional network architecture. Compared with the IS-41 scheme, the schemes based on group management generally have a lower signaling cost and a lower DB access cost due to a significant reduction in the number of location updates. As user mobility increases or the number of users on a TS increases, the performance of the group management schemes improves. The DGLT scheme, in which a corresponding home location register selects a closest VVLR among several possible VVLRS, generally has a lower signaling cost although a DB access cost is increased slightly compared with the GLT scheme. We also obtain the regions in which the DGLT is more efficient than the IS-41 and the GLT scheme. The DGLT scheme is an appropriate solution for high signaling cost systems and the GLT scheme is useful for high DB access cost systems. [ABSTRACT FROM AUTHOR]

Proposes two cell selection schemes based on a velocity estimation scheme in a multitier cellular system. Description of existing schemes; Discussion on the proposed schemes; Analysis and simulation of the performance of each scheme; Comparison of the results.

Presents a study that analyzed the throughput of a direct-sequence spread spectrum multiple access (DSSSMA) unslotted ALOHA system with variable length data traffic used in third-generation mobile communication systems. Use of error-correcting code in DSSSMA; Discussion on the throughput variance of DSSSMA; Comparison of the analytical results with simulation results of the DSSSMA unslotted ALOHA system with variable length data traffic.

The present work considers the investigation of the effects of both electrical and magnetic uniaxial anisotropies on the input impedance, resonant length, and fields distribution of a dipole printed on an anisotropic grounded substrate. In this study, the associated integral equation, based on the derivation of the Green's functions in the spectral domain, is numerically solved employing the method of moments. In order to validate the computing method and the evaluated calculation code, numerical results are compared with available data in the literature treating particular cases of electrical uniaxial anisotropy; reasonable agreements are reported. Novel results of the magnetic uniaxial anisotropy effects on the input impedance and the evaluated electromagnetic field are presented and discussed. This work will serve as a stepping stone for further works for a better understanding of the electromagnetic field behavior in complex anisotropic and bi-anisotropic media. [ABSTRACT FROM AUTHOR]

Transportation and installation of a wind turbine system is one of the main factors for business availability of offshore wind power due to its high cost and technical difficulty. The purpose of this study is to develop an innovative transportation and installation method for offshore wind turbines. We refer to this installation process as an All-In-One-Installation (A.I.O.I), and the special vessel used is referred to as a multipurpose mobile base (MMB). In this study, the short-range transportation and penetration and pull-out tests of the entire wind turbine system are performed before field demonstration. All the offshore wind turbine systems were transported and installed safely at one time. Field demonstration was conducted on the installation site approximately 15 km from the harbor in approximately 5 h using the suction method. In the actual A.I.O.I demonstration test, stable values were obtained. The respective changes in inclination at the center of the MMB and the tower were within 0.1° and 0.2° during operation, respectively, because of the reduction of longitudinal and transverse sway of the MMB induced by the self-weight assembly and ballast. The presented method constitutes an innovative transportation and installation method useful for the offshore wind power industry demonstrating single-day installation feasibility. This installation method can be used to configure the fleet in the development of large-scale offshore wind farms, but it is also possible to install turbines in individual units for research or small businesses. With minor A-Frame modifications, it can be applied as a multipurpose vessel to maintain the blades or heavy components, or can be used for pile driving, or for the lifting/installation of offshore structures. [ABSTRACT FROM AUTHOR]

In this paper, we investigate a deep learning based resource allocation scheme for massive multiple-input-multiple-output (MIMO) communication systems, where a base station (BS) with a large scale antenna array communicates with a user equipment (UE) using beamforming. In particular, we propose Deep Scanning, in which a near-optimal beamforming vector can be found based on deep Q-learning. Through simulations, we confirm that the optimal beam vector can be found with a high probability. We also show that the complexity required to find the optimum beam vector can be reduced significantly in comparison with conventional beam search schemes. [ABSTRACT FROM AUTHOR]

Background: Since the development of sequencing technology, an enormous amount of genetic information has been generated, and human cancer analysis using this information is drawing attention. As the effects of variants on human cancer become known, it is important to find cancer-associated variants among countless variants. Results: We propose a new filter-based feature selection method applicable for extracting cancer-associated somatic variants considering correlations of data. Both variants associated with the activation and deactivation of cancer's characteristics are analyzed using dual correlation filters. The multiobjective optimization is utilized to consider two types of variants simultaneously without redundancy. To overcome high computational complexity problem, we calculate the correlation-based weight to select significant variants instead of directly searching for the optimal subset of variants. The proposed algorithm is applied to the identification of melanoma metastasis or breast cancer stage, and the classification results of the proposed method are compared with those of conventional single correlation filter-based method. Conclusions: We verified that the proposed dual correlation filter-based method can extract cancer-associated variants related to the characteristics of human cancer. [ABSTRACT FROM AUTHOR]

The design of conventional electric vehicles (EVs) is affected by numerous limitations, such as a short travel distance and long charging time. As one of the first wireless charging systems, the Online Electric Vehicle (OLEV) was developed to overcome the limitations of the current generation of EVs. Using wireless charging, an electric vehicle can be charged by power cables embedded in the road. In this paper, a model and algorithm for the optimal design of a wireless charging electric bus system is proposed. The model is built using a Markov decision process and is used to verify the optimal number of power cables, as well as optimal pickup capacity and battery capacity. Using reinforcement learning, the optimization problem of a wireless charging electric bus system in a diverse traffic environment is then solved. The numerical results show that the proposed algorithm maximizes average reward and minimizes total cost. We show the effectiveness of the proposed algorithm compared with obtaining the exact solution via mixed integer programming (MIP). [ABSTRACT FROM AUTHOR]

We investigate the stability of the transmission efficiency (TE) in nonradiative wireless power transfer (WPT) using a relay resonator. An equivalent circuit model is used to show mathematically that two suppositions are satisfied in an overcoupled region: first, the TE of relay-based WPT systems is always larger than that of conventional two-coil-based WPT systems, and second, as the coupling coefficient increases, the TE of two-coil-based WPT systems decreases severely, while the TE of relay-based WPT systems increases slightly. Consequently, we surmise that an intermediate relay can be used to achieve higher TE and stability, compared with conventional two-coil-based WPT systems. We verify that our analytical results are in good agreement with the experimental ones. [ABSTRACT FROM AUTHOR]

Purpose: The aim of this study was to determine the incidence of delayed post-hemorrhoidectomy bleeding (DPHB) after hemorrhoidectomy using a semi-closed procedure. We also investigated risk factors associated with DPHB.This retrospective study enrolled a total of 1645 consecutive patients with symptomatic grade II to IV hemorrhoids who underwent a semi-closed procedure at the Seoul Songdo Hospital between September 2018 and May 2019. All patients underwent a semi-closed procedure with submucosal feeding vessel ligation, a method commonly performed at our institution.A total of 1645 patients (mean age: 48.67 (±14.38) years, 823 (50.0%) male/822 (50.0%) female) underwent semi-closed hemorrhoidectomy. Critically, 24 (1.5%) patients experienced DPHB. Of these patients, 13 (0.8%) experienced stump bleeding, whereas 11 (0.7%) experienced marginal bleeding. The mean bleeding period was 8.21±4.45 days. Multivariate analysis showed that male sex, drinking history, more than four hemorrhoid piles, and laxative agents were independent risk factors for DPHB. The risk of stump bleeding was significantly associated with male sex (OR=5.55, 95% CI 1.23-25.14, p=0.026), more than four hemorrhoid piles (OR=5.90, 95% CI 1.62-21.53, p=0.007), and laxative usage (OR=3.92, 95% CI 1.31-11.74, p=0.015). Conversely, the risk of marginal bleeding were significantly associated with drinking history (OR=10.48, 95% CI 1.34-82.03, p=0.025) and more than four hemorrhoid piles (OR=4.71, 95% CI 1.24-17.81, p=0.023).Male sex, drinking history, more than four hemorrhoid piles, and laxative usage were independent risk factors for DPHB in patients undergoing semi-closed hemorrhoidectomy. The risk factors for stump bleeding included male sex, more than four hemorrhoid piles, and laxative usage. In contrast, the risk factors for marginal bleeding were drinking history and more than four hemorrhoid piles.Methods: The aim of this study was to determine the incidence of delayed post-hemorrhoidectomy bleeding (DPHB) after hemorrhoidectomy using a semi-closed procedure. We also investigated risk factors associated with DPHB.This retrospective study enrolled a total of 1645 consecutive patients with symptomatic grade II to IV hemorrhoids who underwent a semi-closed procedure at the Seoul Songdo Hospital between September 2018 and May 2019. All patients underwent a semi-closed procedure with submucosal feeding vessel ligation, a method commonly performed at our institution.A total of 1645 patients (mean age: 48.67 (±14.38) years, 823 (50.0%) male/822 (50.0%) female) underwent semi-closed hemorrhoidectomy. Critically, 24 (1.5%) patients experienced DPHB. Of these patients, 13 (0.8%) experienced stump bleeding, whereas 11 (0.7%) experienced marginal bleeding. The mean bleeding period was 8.21±4.45 days. Multivariate analysis showed that male sex, drinking history, more than four hemorrhoid piles, and laxative agents were independent risk factors for DPHB. The risk of stump bleeding was significantly associated with male sex (OR=5.55, 95% CI 1.23-25.14, p=0.026), more than four hemorrhoid piles (OR=5.90, 95% CI 1.62-21.53, p=0.007), and laxative usage (OR=3.92, 95% CI 1.31-11.74, p=0.015). Conversely, the risk of marginal bleeding were significantly associated with drinking history (OR=10.48, 95% CI 1.34-82.03, p=0.025) and more than four hemorrhoid piles (OR=4.71, 95% CI 1.24-17.81, p=0.023).Male sex, drinking history, more than four hemorrhoid piles, and laxative usage were independent risk factors for DPHB in patients undergoing semi-closed hemorrhoidectomy. The risk factors for stump bleeding included male sex, more than four hemorrhoid piles, and laxative usage. In contrast, the risk factors for marginal bleeding were drinking history and more than four hemorrhoid piles.Results: The aim of this study was to determine the incidence of delayed post-hemorrhoidectomy bleeding (DPHB) after hemorrhoidectomy using a semi-closed procedure. We also investigated risk factors associated with DPHB.This retrospective study enrolled a total of 1645 consecutive patients with symptomatic grade II to IV hemorrhoids who underwent a semi-closed procedure at the Seoul Songdo Hospital between September 2018 and May 2019. All patients underwent a semi-closed procedure with submucosal feeding vessel ligation, a method commonly performed at our institution.A total of 1645 patients (mean age: 48.67 (±14.38) years, 823 (50.0%) male/822 (50.0%) female) underwent semi-closed hemorrhoidectomy. Critically, 24 (1.5%) patients experienced DPHB. Of these patients, 13 (0.8%) experienced stump bleeding, whereas 11 (0.7%) experienced marginal bleeding. The mean bleeding period was 8.21±4.45 days. Multivariate analysis showed that male sex, drinking history, more than four hemorrhoid piles, and laxative agents were independent risk factors for DPHB. The risk of stump bleeding was significantly associated with male sex (OR=5.55, 95% CI 1.23-25.14, p=0.026), more than four hemorrhoid piles (OR=5.90, 95% CI 1.62-21.53, p=0.007), and laxative usage (OR=3.92, 95% CI 1.31-11.74, p=0.015). Conversely, the risk of marginal bleeding were significantly associated with drinking history (OR=10.48, 95% CI 1.34-82.03, p=0.025) and more than four hemorrhoid piles (OR=4.71, 95% CI 1.24-17.81, p=0.023).Male sex, drinking history, more than four hemorrhoid piles, and laxative usage were independent risk factors for DPHB in patients undergoing semi-closed hemorrhoidectomy. The risk factors for stump bleeding included male sex, more than four hemorrhoid piles, and laxative usage. In contrast, the risk factors for marginal bleeding were drinking history and more than four hemorrhoid piles.Conclusion: The aim of this study was to determine the incidence of delayed post-hemorrhoidectomy bleeding (DPHB) after hemorrhoidectomy using a semi-closed procedure. We also investigated risk factors associated with DPHB.This retrospective study enrolled a total of 1645 consecutive patients with symptomatic grade II to IV hemorrhoids who underwent a semi-closed procedure at the Seoul Songdo Hospital between September 2018 and May 2019. All patients underwent a semi-closed procedure with submucosal feeding vessel ligation, a method commonly performed at our institution.A total of 1645 patients (mean age: 48.67 (±14.38) years, 823 (50.0%) male/822 (50.0%) female) underwent semi-closed hemorrhoidectomy. Critically, 24 (1.5%) patients experienced DPHB. Of these patients, 13 (0.8%) experienced stump bleeding, whereas 11 (0.7%) experienced marginal bleeding. The mean bleeding period was 8.21±4.45 days. Multivariate analysis showed that male sex, drinking history, more than four hemorrhoid piles, and laxative agents were independent risk factors for DPHB. The risk of stump bleeding was significantly associated with male sex (OR=5.55, 95% CI 1.23-25.14, p=0.026), more than four hemorrhoid piles (OR=5.90, 95% CI 1.62-21.53, p=0.007), and laxative usage (OR=3.92, 95% CI 1.31-11.74, p=0.015). Conversely, the risk of marginal bleeding were significantly associated with drinking history (OR=10.48, 95% CI 1.34-82.03, p=0.025) and more than four hemorrhoid piles (OR=4.71, 95% CI 1.24-17.81, p=0.023).Male sex, drinking history, more than four hemorrhoid piles, and laxative usage were independent risk factors for DPHB in patients undergoing semi-closed hemorrhoidectomy. The risk factors for stump bleeding included male sex, more than four hemorrhoid piles, and laxative usage. In contrast, the risk factors for marginal bleeding were drinking history and more than four hemorrhoid piles. [ABSTRACT FROM AUTHOR]

This communication presents foliage channel measurements at 28 GHz using a directional channel sounder. The measurements were conducted in vegetated areas of typical residential environments in Daejeon, South Korea. We first propose a pattern matching algorithm that allows us to overcome the angle resolution of a directional antenna and to estimate a more accurate receiving angle. Then propagation paths received from the vegetation and the surrounding buildings are classified and their power ratios are analyzed. Furthermore, foliage attenuation was determined from the measurement data according to the foliage depth, and appropriate models based on the modified exponential decay (MED) model and the maximum attenuation (MA) model are presented. In addition, the effect of foliage attenuation on seasonal variation is studied. These results will be useful for predicting path losses through the vegetated areas at 28 GHz by modeling the foliage loss as an additional path loss term. Finally, spatial–temporal channel characteristics in a vegetated environment were statistically analyzed including delay spread, coherence bandwidth, and angular spreads. [ABSTRACT FROM AUTHOR]

The genomes of living organisms are populated with pleomorphic repetitive elements (REs) of varying densities. Our hypothesis that genomic RE landscapes are species/strain/individual-specific was implemented into the Genome Signature Imaging system to visualize and compute the RE-based signatures of any genome. Following the occurrence profiling of 5-nucleotide REs/words, the information from top-50 frequency words was transformed into a genome-specific signature and visualized as Genome Signature Images (GSIs), using a CMYK scheme. An algorithm for computing distances among GSIs was formulated using the GSIs' variables (word identity, frequency, and frequency order). The utility of the GSI-distance computation system was demonstrated with control genomes. GSI-based computation of genome-relatedness among 1766 microbes (117 archaea and 1649 bacteria) identified their clustering patterns; although the majority paralleled the established classification, some did not. The Genome Signature Imaging system, with its visualization and distance computation functions, enables genome-scale evolutionary studies involving numerous genomes with varying sizes. [ABSTRACT FROM AUTHOR]

Abstract: We propose a hybrid coupling scheme to support interworking between UMTS and WLAN networks. Under the Tight-coupled system, it is expected that WLAN users can also use UMTS services with guaranteed QoS and seamless mobility. However, the interworking is problematic. The capacity of UMTS core network nodes cannot accommodate the bulky data traffic from WLAN, since the core network nodes are designed to handle the small-sized data of circuit voice calls or short packets. The proposed coupling scheme differentiates the data paths according to the type of the traffic and can accommodate traffic from WLAN efficiently, with guaranteed QoS and seamless mobility. We compare the handover procedures of the proposed coupling strategy with those of the loose and tight coupled schemes. In addition, we analyze the delay based on signaling costs during vertical handover. It is shown that the handover latency decreases when the UMTS and WLAN are coupled in the proposed way. [Copyright &y& Elsevier]

Goal: Over the decades, there have been improvements in the sequence alignment algorithm, with significant advances in various aspects such as complexity and accuracy. However, human-defined algorithms have an explicit limitation in view of developmental completeness. This paper introduces a novel local alignment method to obtain optimal sequence alignment based on reinforcement learning. Methods: There is a DQNalign algorithm that learns and performs sequence alignment through deep reinforcement learning. This paper proposes a DQN x-drop algorithm that performs local alignment without human intervention by combining the x-drop algorithm with this DQNalign algorithm. The proposed algorithm performs local alignment by repeatedly observing the subsequences and selecting the next alignment direction until the x-drop algorithm terminates the DQNalign algorithm. This proposed algorithm has an advantage in view of linear computational complexity compared to conventional local alignment algorithms. Results: This paper compares alignment performance (coverage and identity) and complexity for a fair comparison between the proposed DQN x-drop algorithm and the conventional greedy x-drop algorithm. Firstly, we prove the proposed algorithm's superiority by comparing the two algorithms' computational complexity through numerical analysis. After that, we tested the alignment performance actual HEV and E.coli sequence datasets. The proposed method shows the comparable identity and coverage performance to the conventional alignment method while having linear complexity for the [Formula: see text] parameter. Conclusions: Through this study, it was possible to confirm the possibility of a new local alignment algorithm that minimizes computational complexity without human intervention.

Goal: Various methods have been developed to analyze the association between organisms and their genomic sequences. Among them, sequence alignment is the most frequently used method for comparative analysis of biological genomes. We intend to propose a novel pairwise sequence alignment method using deep reinforcement learning to break out the old pairwise alignment algorithms. Methods: We defined the environment and agent to enable reinforcement learning in the sequence alignment system. This novel method, named DQNalign, can immediately determine the next direction by observing the subsequences within the moving window. Results: DQNalign shows superiority in the dissimilar sequence pairs that have low identity values. And theoretically, we confirm that DQNalign has a low dimension for the sequence length in view of the complexity. Conclusions: This research shows the application method of deep reinforcement learning to the sequence alignment system and how deep reinforcement learning can improve the conventional sequence alignment method.

Purpose: The aim of this study was to determine the accuracy of 3-dimensional (3D) pelvic floor ultrasonography and compare it with defecography in assessment of posterior pelvic disorders., Methods: Eligible patients were consecutive women undergoing 3D pelvic floor ultrasonography at one hospital between August 2017 and February 2019. All 3D pelvic floor ultrasonography was performed by one examiner. A total of 167 patients with suspected posterior pelvic disorder was retrospectively enrolled in the study. The patients were divided into 3 groups according to the main symptoms., Results: There were 82 rectoceles on defecography (55 barium trapping) and 84 on 3D pelvic floor ultrasonography. Each modality identified 6 enteroceles. There were 43 patients with pelvic floor dyssynergia on defecography and 41 on ultrasonography. There were 84 patients with intussusception on defecography and 41 on 3D pelvic floor ultrasonography. Agreement of the 2 diagnostic tests was confirmed using Cohen's kappa value. Rectocele (kappa, 0.784) and enterocele (kappa, 0.654) both indicated good agreement between defecography and 3D pelvic floor ultrasonography. In addition, pelvic floor dyssynergia (kappa, 0.406) showed moderate agreement, while internal intussusception (kappa, 0.296) had fair agreement., Conclusion: This study showed good agreement for detection of posterior pelvic disorders between defecography and 3D pelvic floor ultrasonography.

Goal: Individual characteristics are determined through a genome consisting of a complex base combination. This base combination is reflected in the k-word profile, which represents the number of consecutive k bases. Therefore, it is important to analyze the genome-specific statistical specificity in the k-word profile to understand the characteristics of the genome. In this paper, we propose a new k-word-based method to analyze genome-specific properties. Methods: We define k-words consisting of the same number of bases as statistically identical k-words. The statistically identical k-words are estimated to appear at a similar frequency by statistical prediction. However, this may not be true in the genome because it is not a random list of bases. The ratio between frequencies of two statistically identical k-words can then be used to investigate the statistical specificity of the genome reflected in the k-word profile. In order to find important ratios representing genomic characteristics, a reference value is calculated that results in a minimum error when classifying data by ratio alone. Finally, we propose a genetic algorithm-based search algorithm to select a minimum set of ratios useful for classification. Results: The proposed method was applied to the full-length sequence of microorganisms for pathogenicity classification. The classification accuracy of the proposed algorithm was similar to that of conventional methods while using only a few features. Conclusions: We proposed a new method to investigate the genome-specific statistical specificity in the k-word profile which can be applied to find important properties of the genome and classify genome sequences.

Given the vast amount of genomic data, alignment-free sequence comparison methods are required due to their low computational complexity. k-mer based methods can improve comparison accuracy by extracting an effective feature of the genome sequences. The aim of this paper is to extract k-mer intervals of a sequence as a feature of a genome for high comparison accuracy. In the proposed method, we calculated the distance between genome sequences by comparing the distribution of k-mer intervals. Then, we identified the classification results using phylogenetic trees. We used viral, mitochondrial (MT), microbial and mammalian genome sequences to perform classification for various genome sets. We confirmed that the proposed method provides a better classification result than other k-mer based methods. Furthermore, the proposed method could efficiently be applied to long sequences such as human and mouse genomes., (Copyright © 2018 Elsevier Inc. All rights reserved.)

The development of new sequencing technology has stimulated the cancer-related genome analysis. Copy number variation is one of the most important features that represents the structural variation. In this paper, we suggest the metastasis identification method of melanoma using copy number variations. The identification marker is defined in consideration of the presence and the type of copy number variations in primary and metastatic tumors. The optimization of marker is also provided and classification performances of developed markers are compared using the linear classifier.

Pancreatic panniculitis is a rare complication characterized by subcutaneous fat necrosis associated with pancreatic disease. It has been postulated that pancreatic panniculitis is caused by the systemic activity of pancreatic enzymes that lead to microcirculatory disturbances. We report a 41-year-old heavy alcoholic woman with pancreatic panniculitis that coexisted with acute and chronic pancreatitis. She was diagnosed with chronic pancreatitis and alcoholic liver cirrhosis 5 years ago. She presented with multiple, tender, erythematous, subcutaneous nodules with heat sensation on both lower legs. Laboratory evaluation revealed an increase in the serum blood amylase and lipase. Histopathologic findings showed fat necrosis with inflammation around the necrotic subcutaneous fat tissue. The lesions subsided gradually with an improvement of acute pancreatitis.

Genome-based microorganism classification is the one of interesting issues in microorganism taxonomy. However, the advance in sequencing technology requires a low-complex algorithm to process a great amount of bio sequence data. In this paper, we suggest a coalition formation game for microorganism classification, which can be implemented in distributed manner. We extract word frequency feature from microorganism sequences and formulate the coalition game model that considers the distance among word frequency features. Then, we propose a coalition formation algorithm for clustering microorganisms with feature similarity. The performance of proposed algorithm is compared with that of conventional schemes by means of an experiment. According to the result, we showed that the correctness of proposed distributed algorithm is similar to that of conventional centralized schemes.