The hemi or subtotal/total glossectomy is usually approached by lip-jaw splitting procedure for advanced tongue cancer ablation. This highly invasive procedure can cause facial disfiguration, bone ...malunion, and osteoradionecrosis. The aim of this study is to compare the surgical outcome in free flap tongue reconstruction between novel parachute technique in an intact jaw and the conventional lip-jaw splitting procedure after tongue cancer ablation.In this study, parachute technique was adopted for free flap inset in patients without mandibulotomy. We retrospectively reviewed patients who have received primary advanced tongue cancer resection and free flap reconstruction during April, 2008 to January, 2015. Patients were divided into 2 groups. Group A was undergoing parachute technique without lip-jaw splitting. We sutured all the strings through the edges of defect in the first step and through the matching points of flap margin in the second step from outside the oral cavity. Then, the strings were pulled and the flap was parachuted down on the defects after all the matching points were tied together. In group B, the patients received conventional lip-jaw splitting procedure. Student t test was used for results analysis.There were 15 patients (n = 15) in group A and 15 patients (n = 15) in group B. In the patients receiving parachute technique, operation time showed 34 minutes (P = .49) shorter, hospital stay showed 4 days (P = .32) shorter, and the infection rate of surgical site showed 6.6% (P = .64) less than with conventional technique. The survival rates of the flaps were both 100% without revision.The parachute technique is an effective and more accessible method for free flap setting in cases of tongue reconstruction without lip-jaw splitting, and provides patients with better aesthetic appearance.
Regular expression matching becomes indispensable elements of Internet of Things network security. However, traditional ternary content addressable memory (TCAM) search engine is unable to handle ...patterns with wildcards, as it precisely tracks only one active state with single transition. This paper proposes a promising simultaneous pattern matching methodology for wildcard patterns by two separated engines to represent discrete finite automata. A key preprocessing to encode possible postfix pattern by a unique key ensures that follow-up patterns can accurately traverse all possible matches with limited hardware resources. This approach is practical and scalable for achieving good performance and low space consumption in network security, and it can be applicable to any regular expressions even with multiwildcard patterns. The experimental results demonstrate that this scheme can efficiently and accurately recognize wildcard patterns by simultaneously tracking only two active states. By adopting SRAM TCAM in the proposed architecture, the energy consumption is reduced to around 39%, compared with the energy consumption using a computing system that contains a large memory lookup and comparison overhead.
This paper describes a new agenda based approach which facilitates multi-issue negotiation process between service consumer and service provider over the quality of service (QoS) requirements in ...cloud services. We assume that the order of agenda (issues) has impact on the negotiation outcome, but a group of service consumers and providers may have conflicting preferences over the importance of issues. In a multiple-issue negotiation process it is difficult to reach an optimal outcome when their preferences and the relative importance of their associated issues are not known to each other. The proposed agenda based preference ordering approach helps consumers and providers to reach a consensus over the issues and to construct a common preference sequence to improve the efficiency of the issue-by-issue negotiation outcome. Consequently, a co-evolutionary negotiation model based on the result of preference ordering approach is introduced for the agents to negotiate and reach an agreement, if there is any. The contribution of the research is a new mechanism that is able to formulate issue sequence along with a co-evolutionary negotiation approach that can effectively facilitate negotiation over QoS issues in cloud computing. Finally, a case study is provided to illustrate the proposed approach.
•This research has proposed a new negotiation mechanism to deal with the Cloud Computing Market.•The negotiation mechanism can efficiently and effectively identify a possible agreement in a large and complex search space.•A case study is adopted to evaluate and demonstrate the proposed mechanism.
This study proposes a binary search-based fault detection system for photovoltaic (PV) modules to ameliorate the deficiencies in the existing fault detectors for PV module arrays. The proposed system ...applies a single-chip microcontroller to execute the binary search algorithm. Moreover, to overcome multi-node voltage detection and reduce the number of integrated circuit components, an analog switch is used to perform detection channel switching; the detection results are displayed on a software platform developed using Visual C#. The proposed system does not require learning to execute the fault diagnosis of PV module arrays and has advantages including high accuracy and low construction costs. Finally, to verify the feasibility of the proposed system, this study simulated the abnormal situations of actual modules and applied the binary search algorithm for maximum power point tracking to detect malfunctions of the PV module arrays.
Summary Objectives The worldwide outbreak of a pandemic influenza A (H1N1) virus began in April 2009. We characterized the clinical features of the hospitalized pneumonia patients with 2009 H1N1 ...influenza in Taiwan and elucidated the risk of those patients for developing respiratory failure. Methods Severe complicated influenza infection is a notifiable disease in Taiwan and the hospitalized pneumonia patients with 2009 H1N1 influenza were reported accordingly. We reviewed the medical records of the eligible cases by September 8, 2009; development of respiratory failure was the primary endpoint. Results Of the 96 patients we studied, 22 (23%) developed respiratory failure. Among those, 10 (45%) died and all of the non-respiratory failure patients survived. Age distribution, presence of dyspnea, lymphopenia, leukopenia, PaO2 /FiO2 ratio, PaCO2 , SOFA score, infiltration on chest x-ray at admission were different between two groups by univariate analysis. The clinical course was also different, with longer duration from onset of symptoms to use of oseltamivir, longer hospital stay, and more complications during hospitalization in patients with respiratory failure. A multivariate logistic regression showed an association between development of respiratory failure and SOFA score ≥ 4 at admission, initial lymphocyte count ≤ 800/μL, and the duration from symptom onset to initiation of oseltamivir > 48 h. Conclusions Respiratory failure in patients with 2009 H1N1 influenza leads to poor outcomes, including complications and death. Clinicians could apply the three predictors at admission to identify the high-risk pneumonic patients for developing respiratory failure. Further study is needed to validate the findings of this study in other settings.
Early data from the 2009 H1N1 pandemic (H1N1pdm) suggest that previous studies over-estimated the within-country rate of spatial spread of pandemic influenza. As large spatially resolved data sets ...are constructed, the need for efficient simulation code with which to investigate the spatial patterns of the pandemic becomes clear. Here, we present a significant improvement to the efficiency of an individual-based stochastic disease simulation framework commonly used in multiple previous studies. We quantify the efficiency of the revised algorithm and present an alternative parameterization of the model in terms of the basic reproductive number. We apply the model to the population of Taiwan and demonstrate how the location of the initial seed can influence spatial incidence profiles and the overall spread of the epidemic. Differences in incidence are driven by the relative connectivity of alternate seed locations. The ability to perform efficient simulation allows us to run a batch of simulations and take account of their average in real time. The averaged data are stable and can be used to differentiate spreading patterns that are not readily seen by only conducting a few runs.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
This research project aims to build a LoRa-based Internet of Things (IoT) secure localization system and application based on multi-sensor fusion calculation. The system of this project comprises ...LoRa hosts, which receive the signals from various nodes, and are connected to a multi-sensor fusion arithmetic system through a wireless network. This study crosses domains and integrates related engineering automation, network security technology, multi-sensor fusion calculation design, and the LoRa localization technique, and the research findings are expected to contribute to the network security of the defense industry and research on the LoRa IoT localization system.
Project risks come mainly from the future uncertainties, and new product and service development projects possess the most uncertainty and therefore the highest risk. However, if the project team has ...gained experiences from previous similar projects, the risk to the project drastically declines. In other words, an inverse correlation exists between member experiences and project risk. Therefore, the guiding principle would be to assign an experienced member to execute familiar work for that member. This study aims to establish a mathematical model that uses member experience to minimize project uncertainty. The nonlinear model assigns members with different experiences to the most suitable tasks to minimize project risk, and thus maximize project success rates under constraints of project costs and communication complexities. An experimental case is used to demonstrate the applicability of the proposed model, and results indicated that under cost and communication complexity constraints, project uncertainty can truly be minimized by allocating an adequate member to the suitable task.
Protein kinase C alpha (PKCα) is a key signaling molecule in human cancer development. As a therapeutic strategy, targeting PKCα is difficult because the molecule is ubiquitously expressed in ...non-malignant cells. PKCα is regulated by the cooperative interaction of the transcription factors myeloid zinc finger 1 (MZF-1) and Ets-like protein-1 (Elk-1) in human cancer cells.
By conducting tissue array analysis, herein, we determined the protein expression of MZF-1/Elk-1/PKCα in various cancers.
The data show that the expression of MZF-1/Elk-1 is correlated with that of PKCα in hepatocellular carcinoma (HCC), but not in bladder and lung cancers. In addition, the PKCα down-regulation by shRNA Elk-1 was only observed in the HCC SK-Hep-1 cells. Blocking the interaction between MZF-1 and Elk-1 through the transfection of their binding domain MZF-1
decreased PKCα expression. This step ultimately depressed the epithelial-mesenchymal transition potential of the HCC cells.
These findings could be used to develop an alternative therapeutic strategy against patients with the PKCα-derived HCC.
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