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Medina-Marin</title> <meta name="description" content="Search results for: Joselito Medina-Marin"> <meta name="keywords" content="Joselito Medina-Marin"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="Joselito Medina-Marin"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 7</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: Joselito Medina-Marin</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7</span> A Petri Net Model to Obtain the Throughput of Unreliable Production Lines in the Buffer Allocation Problem</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Joselito%20Medina-Marin">Joselito Medina-Marin</a>, <a href="https://publications.waset.org/abstracts/search?q=Alexandr%20Karelin"> Alexandr Karelin</a>, <a href="https://publications.waset.org/abstracts/search?q=Ana%20Tarasenko"> Ana Tarasenko</a>, <a href="https://publications.waset.org/abstracts/search?q=Juan%20Carlos%20Seck-Tuoh-Mora"> Juan Carlos Seck-Tuoh-Mora</a>, <a href="https://publications.waset.org/abstracts/search?q=Norberto%20Hernandez-Romero"> Norberto Hernandez-Romero</a>, <a href="https://publications.waset.org/abstracts/search?q=Eva%20Selene%20Hernandez-Gress"> Eva Selene Hernandez-Gress</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A production line designer faces with several challenges in manufacturing system design. One of them is the assignment of buffer slots in between every machine of the production line in order to maximize the throughput of the whole line, which is known as the Buffer Allocation Problem (BAP). The BAP is a combinatorial problem that depends on the number of machines and the total number of slots to be distributed on the production line. In this paper, we are proposing a Petri Net (PN) Model to obtain the throughput in unreliable production lines, based on PN mathematical tools and the decomposition method. The results obtained by this methodology are similar to those presented in previous works, and the number of machines is not a hard restriction. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=buffer%20allocation%20problem" title="buffer allocation problem">buffer allocation problem</a>, <a href="https://publications.waset.org/abstracts/search?q=Petri%20Nets" title=" Petri Nets"> Petri Nets</a>, <a href="https://publications.waset.org/abstracts/search?q=throughput" title=" throughput"> throughput</a>, <a href="https://publications.waset.org/abstracts/search?q=production%20lines" title=" production lines"> production lines</a> </p> <a href="https://publications.waset.org/abstracts/79811/a-petri-net-model-to-obtain-the-throughput-of-unreliable-production-lines-in-the-buffer-allocation-problem" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/79811.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">307</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">6</span> Modeling and Simulation of Flow Shop Scheduling Problem through Petri Net Tools</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Joselito%20Medina%20Marin">Joselito Medina Marin</a>, <a href="https://publications.waset.org/abstracts/search?q=Norberto%20Hern%C3%A1ndez%20Romero"> Norberto Hern谩ndez Romero</a>, <a href="https://publications.waset.org/abstracts/search?q=Juan%20Carlos%20Seck%20Tuoh%20Mora"> Juan Carlos Seck Tuoh Mora</a>, <a href="https://publications.waset.org/abstracts/search?q=Erick%20S.%20Martinez%20Gomez"> Erick S. Martinez Gomez</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Flow Shop Scheduling Problem (FSSP) is a typical problem that is faced by production planning managers in Flexible Manufacturing Systems (FMS). This problem consists in finding the optimal scheduling to carry out a set of jobs, which are processed in a set of machines or shared resources. Moreover, all the jobs are processed in the same machine sequence. As in all the scheduling problems, the makespan can be obtained by drawing the Gantt chart according to the operations order, among other alternatives. On this way, an FMS presenting the FSSP can be modeled by Petri nets (PNs), which are a powerful tool that has been used to model and analyze discrete event systems. Then, the makespan can be obtained by simulating the PN through the token game animation and incidence matrix. In this work, we present an adaptive PN to obtain the makespan of FSSP by applying PN analytical tools. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=flow-shop%20scheduling%20problem" title="flow-shop scheduling problem">flow-shop scheduling problem</a>, <a href="https://publications.waset.org/abstracts/search?q=makespan" title=" makespan"> makespan</a>, <a href="https://publications.waset.org/abstracts/search?q=Petri%20nets" title=" Petri nets"> Petri nets</a>, <a href="https://publications.waset.org/abstracts/search?q=state%20equation" title=" state equation"> state equation</a> </p> <a href="https://publications.waset.org/abstracts/48746/modeling-and-simulation-of-flow-shop-scheduling-problem-through-petri-net-tools" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/48746.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">298</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5</span> Factors Motivating Experienced Secondary Teachers to Remain in the Teaching Profession</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Joselito%20Castro%20Gutierrez">Joselito Castro Gutierrez</a>, <a href="https://publications.waset.org/abstracts/search?q=Herbert%20Orteza"> Herbert Orteza</a>, <a href="https://publications.waset.org/abstracts/search?q=Jervie%20Boligon"> Jervie Boligon</a>, <a href="https://publications.waset.org/abstracts/search?q=Kenneth%20Esteves"> Kenneth Esteves</a>, <a href="https://publications.waset.org/abstracts/search?q=Edrick%20Kevin%20Ferrer"> Edrick Kevin Ferrer</a>, <a href="https://publications.waset.org/abstracts/search?q=Mark%20Kevin%20Torres"> Mark Kevin Torres</a>, <a href="https://publications.waset.org/abstracts/search?q=Patrick%20Vergara"> Patrick Vergara</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Teaching is a noble profession that involves an effective imparting of holistic learning. Consequently, it requires a driving force called motivation. This research aims to determine the motivating factors, problems encountered, solutions made by experienced secondary school teachers to remain in the teaching profession. A mixed unstructured/structured questionnaire was used for gathering data among public secondary school teachers. The researchers have arrived to a conclusion that the dominant motivating factors of teachers to stay in the profession are altruism, extrinsic factors, and self-efficacy. Meanwhile, the prevalent problems these experienced secondary teachers experienced are mutual dilemma, work overload, and personal issues. Teachers have varied methods on solving the problem which are: a) Direct Solution; b) Indirect Solution; and c) Pseudo-Solutions. Lastly, the factors, problems, and solutions, have influential effects on how long a teacher would sustain in teaching which would manifest as positive, negative and neutral effects. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=motivation" title="motivation">motivation</a>, <a href="https://publications.waset.org/abstracts/search?q=common%20problems%20of%20teachers" title=" common problems of teachers"> common problems of teachers</a>, <a href="https://publications.waset.org/abstracts/search?q=strategies%20in%20solving%20problems" title=" strategies in solving problems"> strategies in solving problems</a>, <a href="https://publications.waset.org/abstracts/search?q=teaching%20profession" title=" teaching profession"> teaching profession</a> </p> <a href="https://publications.waset.org/abstracts/37456/factors-motivating-experienced-secondary-teachers-to-remain-in-the-teaching-profession" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/37456.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">445</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4</span> PhilSHORE: Development of a WebGIS-Based Marine Spatial Planning Tool for Tidal Current Energy Resource Assessment and Site Suitability Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ma.%20Rosario%20Concepcion%20O.%20Ang">Ma. Rosario Concepcion O. Ang</a>, <a href="https://publications.waset.org/abstracts/search?q=Luis%20Caezar%20Ian%20K.%20Panganiban"> Luis Caezar Ian K. Panganiban</a>, <a href="https://publications.waset.org/abstracts/search?q=Charmyne%20B.%20Mamador"> Charmyne B. Mamador</a>, <a href="https://publications.waset.org/abstracts/search?q=Oliver%20Dan%20G.%20De%20Luna"> Oliver Dan G. De Luna</a>, <a href="https://publications.waset.org/abstracts/search?q=Michael%20D.%20Bausas"> Michael D. Bausas</a>, <a href="https://publications.waset.org/abstracts/search?q=Joselito%20P.%20Cruz"> Joselito P. Cruz</a> </p> <p class="card-text"><strong>Abstract:</strong></p> PhilSHORE is a multi-site, multi-device and multi-criteria decision support tool designed to support the development of tidal current energy in the Philippines. Its platform is based on Geographic Information Systems (GIS) which allows for the collection, storage, processing, analyses and display of geospatial data. Combining GIS tools with open source web development applications, PhilSHORE becomes a webGIS-based marine spatial planning tool. To date, PhilSHORE displays output maps and graphs of power and energy density, site suitability and site-device analysis. It enables stakeholders and the public easy access to the results of tidal current energy resource assessments and site suitability analyses. Results of the initial development shows PhilSHORE is a promising decision support tool for ORE project developments. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=gis" title="gis">gis</a>, <a href="https://publications.waset.org/abstracts/search?q=site%20suitability%20analysis" title=" site suitability analysis"> site suitability analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=tidal%20current%20energy%20resource%20assessment" title=" tidal current energy resource assessment"> tidal current energy resource assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=webgis" title=" webgis"> webgis</a> </p> <a href="https://publications.waset.org/abstracts/30163/philshore-development-of-a-webgis-based-marine-spatial-planning-tool-for-tidal-current-energy-resource-assessment-and-site-suitability-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/30163.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">525</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3</span> Artificial Neural Network Approach for Modeling Very Short-Term Wind Speed Prediction</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Joselito%20Medina-Marin">Joselito Medina-Marin</a>, <a href="https://publications.waset.org/abstracts/search?q=Maria%20G.%20Serna-Diaz"> Maria G. Serna-Diaz</a>, <a href="https://publications.waset.org/abstracts/search?q=Juan%20C.%20Seck-Tuoh-Mora"> Juan C. Seck-Tuoh-Mora</a>, <a href="https://publications.waset.org/abstracts/search?q=Norberto%20Hernandez-Romero"> Norberto Hernandez-Romero</a>, <a href="https://publications.waset.org/abstracts/search?q=Irving%20Barrag%C3%A1n-Vite"> Irving Barrag谩n-Vite</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Wind speed forecasting is an important issue for planning wind power generation facilities. The accuracy in the wind speed prediction allows a good performance of wind turbines for electricity generation. A model based on artificial neural networks is presented in this work. A dataset with atmospheric information about air temperature, atmospheric pressure, wind direction, and wind speed in Pachuca, Hidalgo, M茅xico, was used to train the artificial neural network. The data was downloaded from the web page of the National Meteorological Service of the Mexican government. The records were gathered for three months, with time intervals of ten minutes. This dataset was used to develop an iterative algorithm to create 1,110 ANNs, with different configurations, starting from one to three hidden layers and every hidden layer with a number of neurons from 1 to 10. Each ANN was trained with the Levenberg-Marquardt backpropagation algorithm, which is used to learn the relationship between input and output values. The model with the best performance contains three hidden layers and 9, 6, and 5 neurons, respectively; and the coefficient of determination obtained was r虏=0.9414, and the Root Mean Squared Error is 1.0559. In summary, the ANN approach is suitable to predict the wind speed in Pachuca City because the r虏 value denotes a good fitting of gathered records, and the obtained ANN model can be used in the planning of wind power generation grids. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=wind%20power%20generation" title="wind power generation">wind power generation</a>, <a href="https://publications.waset.org/abstracts/search?q=artificial%20neural%20networks" title=" artificial neural networks"> artificial neural networks</a>, <a href="https://publications.waset.org/abstracts/search?q=wind%20speed" title=" wind speed"> wind speed</a>, <a href="https://publications.waset.org/abstracts/search?q=coefficient%20of%20determination" title=" coefficient of determination"> coefficient of determination</a> </p> <a href="https://publications.waset.org/abstracts/157836/artificial-neural-network-approach-for-modeling-very-short-term-wind-speed-prediction" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/157836.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">124</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2</span> A Chemical-Free Colouration Technique for Regenerated Fibres Using Waste Alpaca Fibres</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20Abdullah%20Al%20Faruque">M. Abdullah Al Faruque</a>, <a href="https://publications.waset.org/abstracts/search?q=Rechana%20Remadevi"> Rechana Remadevi</a>, <a href="https://publications.waset.org/abstracts/search?q=Abu%20Naser%20M.%20Ahsanul%20%20Haque"> Abu Naser M. Ahsanul Haque</a>, <a href="https://publications.waset.org/abstracts/search?q=Joselito%20Razal"> Joselito Razal</a>, <a href="https://publications.waset.org/abstracts/search?q=Xungai%20Wang"> Xungai Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Maryam%20Naebe"> Maryam Naebe</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Generally, the colouration of textile fibres is performed by using synthetic colourants in dope dyeing or conventional dyeing methods. However, the toxic effect of some synthetic colorants due to long-term exposure can cause several health threats including cancer, asthma and skin diseases. Moreover, in colouration process, these colourants not only consume a massive amount of water but also generates huge proportion of wastewater to the environment. Despite having the environmentally friendly characteristics, current natural colourants have downsides in their yield and need chemical extraction processes which are water consuming as well. In view of this, the present work focuses to develop a chemical-free biocompatible and natural pigment based colouration technique to colour regenerated fibres. Waste alpaca fibre was used as a colourant and the colour properties, as well as the mechanical properties, of the regenerated fibres were investigated. The colourant from waste alpaca was fabricated through mechanical milling process and it was directly applied to the polyacrylonitrile (PAN) dope solution in different ratios of alpaca: PAN (10:90, 20:80, 30:70). The results obtained from the chemical structure characterization suggested that all the coloured regenerated fibres exhibited chemical functional groups of both PAN and alpaca. Furthermore, the color strength was increased gradually with the increment of alpaca content and showed excellent washing fastness properties. These results reveal a potential new pathway for chemical-free dyeing technique for fibres with improved properties. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=alpaca" title="alpaca">alpaca</a>, <a href="https://publications.waset.org/abstracts/search?q=chemical-free%20coloration" title=" chemical-free coloration"> chemical-free coloration</a>, <a href="https://publications.waset.org/abstracts/search?q=natural%20colorant" title=" natural colorant"> natural colorant</a>, <a href="https://publications.waset.org/abstracts/search?q=polyacrylonitrile" title=" polyacrylonitrile"> polyacrylonitrile</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20consumption" title=" water consumption"> water consumption</a>, <a href="https://publications.waset.org/abstracts/search?q=wet%20spinning" title=" wet spinning"> wet spinning</a> </p> <a href="https://publications.waset.org/abstracts/96356/a-chemical-free-colouration-technique-for-regenerated-fibres-using-waste-alpaca-fibres" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/96356.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">172</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1</span> Artificial Neural Network Approach for Modeling and Optimization of Conidiospore Production of Trichoderma harzianum</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Joselito%20Medina-Marin">Joselito Medina-Marin</a>, <a href="https://publications.waset.org/abstracts/search?q=Maria%20G.%20Serna-Diaz"> Maria G. Serna-Diaz</a>, <a href="https://publications.waset.org/abstracts/search?q=Alejandro%20Tellez-Jurado"> Alejandro Tellez-Jurado</a>, <a href="https://publications.waset.org/abstracts/search?q=Juan%20C.%20Seck-Tuoh-Mora"> Juan C. Seck-Tuoh-Mora</a>, <a href="https://publications.waset.org/abstracts/search?q=Eva%20S.%20Hernandez-Gress"> Eva S. Hernandez-Gress</a>, <a href="https://publications.waset.org/abstracts/search?q=Norberto%20Hernandez-Romero"> Norberto Hernandez-Romero</a>, <a href="https://publications.waset.org/abstracts/search?q=Iaina%20P.%20Medina-Serna"> Iaina P. Medina-Serna</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Trichoderma harzianum is a fungus that has been utilized as a low-cost fungicide for biological control of pests, and it is important to determine the optimal conditions to produce the highest amount of conidiospores of Trichoderma harzianum. In this work, the conidiospore production of Trichoderma harzianum is modeled and optimized by using Artificial Neural Networks (AANs). In order to gather data of this process, 30 experiments were carried out taking into account the number of hours of culture (10 distributed values from 48 to 136 hours) and the culture humidity (70, 75 and 80 percent), obtained as a response the number of conidiospores per gram of dry mass. The experimental results were used to develop an iterative algorithm to create 1,110 ANNs, with different configurations, starting from one to three hidden layers, and every hidden layer with a number of neurons from 1 to 10. Each ANN was trained with the Levenberg-Marquardt backpropagation algorithm, which is used to learn the relationship between input and output values. The ANN with the best performance was chosen in order to simulate the process and be able to maximize the conidiospores production. The obtained ANN with the highest performance has 2 inputs and 1 output, three hidden layers with 3, 10 and 10 neurons in each layer, respectively. The ANN performance shows an R2 value of 0.9900, and the Root Mean Squared Error is 1.2020. This ANN predicted that 644175467 conidiospores per gram of dry mass are the maximum amount obtained in 117 hours of culture and 77% of culture humidity. In summary, the ANN approach is suitable to represent the conidiospores production of Trichoderma harzianum because the R2 value denotes a good fitting of experimental results, and the obtained ANN model was used to find the parameters to produce the biggest amount of conidiospores per gram of dry mass. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Trichoderma%20harzianum" title="Trichoderma harzianum">Trichoderma harzianum</a>, <a href="https://publications.waset.org/abstracts/search?q=modeling" title=" modeling"> modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=artificial%20neural%20network" title=" artificial neural network"> artificial neural network</a> </p> <a href="https://publications.waset.org/abstracts/111472/artificial-neural-network-approach-for-modeling-and-optimization-of-conidiospore-production-of-trichoderma-harzianum" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/111472.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">158</span> </span> </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational 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