Impacto del TLC en Bogotá-Cundinamarca. La cadena de textiles y confecciones

Gestión del conocimiento

Impacto del TLC en Bogotá-Cundinamarca. La cadena de textiles y confecciones

Gestión del conocimiento

Plan estratégico exportador para la región 2007 - 2019 Bogotá - Cundinamarca : Textiles y Confecciones

Gestión del conocimiento

Trauma acústico crónico en tejedores textiles, Nuevo León, México, 1987

Tesis (Maestría en Salud Pública con Especialidad en Salud en el Trabajo) UANL

Gauging the Success of Technical Trading Strategies in the S&P 500 Index Futures Market.

Rapport de recherche

Directed Technical Change and International Trade

Recent changes in comparative advantage in the largest OECD economies differ significantly from the predictions of Heckscher-Ohlin-Vanek theory. Japan's rising share of OECD machinery exports and the improvement in the comparative advantage of the USA and Germany in heavy industry were accompanied by growing scarcities of the factors used intensively in the favored sector of each country. Here we examine Acemoglu's (1998, 2002) hypothesis that technical change may be directed toward raising the marginal productivity of abundant factors. Testing this hypothesis with 1970-1992 export data from 14 OECD countries, we find evidence that international comparative advantage was reshaped by innovation biased toward the abundant factors in the largest economies.

Graphics for engineers, architects, and builders : a manual for designers, and a text-book for technical school, trussesand arches analyzed and descussed by graphical methods

UANL

Purificación y caracterización parcial de las lacasas de trametes maxima CU1 y su aplicación en la degradación de colorantes textiles.

Tesis (Doctor en Ciencias con Especialidad en Microbiología) UANL, 2009.

Health promotion program implementation, a socio-technical networking process : a case study of a school-based nutrition intervention

Thèse numérisée par la Division de la gestion de documents et des archives de l'Université de Montréal.

Caractérisation et évaluation de textiles antifongiques

Hypothèse: L’impression sur textile d’une formulation de microparticules lipidiques avec un principe actif (éconazole nitrate) permet de conserver ou d’améliorer son activité pharmaceutique ex vivo et in vitro. Méthode: Une formulation de microparticules d’éconazole nitrate (ECN) a été formulée par homogénéisation à haut cisaillement, puis imprimée sur un textile LayaTM par une méthode de sérigraphie. La taille des microparticules, la température de fusion des microparticules sur textile et la teneur en éconazole du tissu ont été déterminées. La stabilité de la formulation a été suivie pendant 4 mois à 25°C avec 65% humidité résiduelle (RH). L’activité in vitro des textiles pharmaceutiques a été mesurée et comparée à la formulation commerciale 1% éconazole nitrate (w/w) sur plusieurs espèces de champignons dont le C. albicans, C. glabrata, C. kefyr, C. luminisitae, T. mentagrophytes et T. rubrum. La thermosensibilité des formulations a été étudiée par des tests de diffusion in vitro en cellules de Franz. L’absorption cutanée de l’éconazole a été évaluée ex vivo sur la peau de cochon. Résultats: Les microparticules d’éconazole avaient des tailles de 3.5±0.1 μm. La température de fusion était de 34.8°C. La thermosensibilité a été déterminée par un relargage deux fois supérieur à 32°C comparés à 22°C sur 6 heures. Les textiles ont présenté une teneur stable pendant 4 mois. Les textiles d’ECN in vitro ont démontré une activité similaire à la formulation commerciale sur toutes ii espèces de Candida testées, ainsi qu’une bonne activité contre les dermatophytes. La diffusion sur peau de cochon a démontré une accumulation supérieure dans le stratum corneum de la formulation textile par rapport à la formulation Pevaryl® à 1% ECN. La thermo-sensibilité de la formulation a permis un relargage sélectif au contact de la peau, tout en assurant une bonne conservation à température ambiante.

Studies on adhesives for bonding rubber to rubber and rubber to textiles

The primary objective of this investigation has been to develop more efficient and low cost adhesives for bonding various elastomer combinations particularly NR to NR, NR/PB to NR/PB, CR to CR,NR to CR and NR to NBR.A significant achievement of the investigation was the development of solventless and environment friendly solid adhesives for NR to NR and NR/PB to NR/PB particularly for precured retreading. Conventionally used adhesives in this area are mostly NR based adhesive strips in the presence of a dough. The study has shown that an ultra accelerator could be added to the dough just before applying it on the tire which can significantly bring down the retreading time resulting in prolonged tire service and lower energy consumption. Further latex reclaim has been used for the preparation of the solid strip which can reduce the cost considerably.Another significant finding was that by making proper selection of the RF resin, the efficiency and shelflife of the RFL adhesive used for nylon and rayon tire cord dipping can be improved. In the conventionally used RFL adhesive, the resin once prepared has to be added to the latex within 30 minutes and the RFL has to be used after 4 hours maturation time maximum shelf life of the RFL dip solution being 72 hours. In this study a formaldehyde deficient resin was used and hence more flexibility was available for mixing with latex and maturing. It also has a much longer shelf life. In the method suggested in this study, formaldehyde donors were added only in the rubber compound to make up the formaldehyde deficiency in the RFL. The results of this investigation show that the pull through load by employing this method and the conventional method are comparable. This study has also shown that the amount of RF resin with RFL adhesive can be partially replaced by other modifying agents for cost reduction.Cashew nut shell liquid (CNSL) resin can be employed for improving the bonding of dipped nylon and rayon cord with NR.Since CNSL resin cannot be added in the dip solution since it is not soluble in water, it was added in the rubber compound. The amount of wood rosin in the rubber compound can be reduced by using CNSL resin.Another interesting result of the investigation was the use of CR based adhesive modified with chlorinated natural rubber for CR to CR bonding. Addition of chlorinated natural rubber was found to improve sea water resistance of CR based adhesive. In the bonding of a polar rubber like nitrile rubber or polychloroprene rubber to a non polar rubber like natural rubber, an adhesive based on polychloroprene rubber was found to be effective.

Design and Development of data mining models for the predictions of manpower placement in the technical Domain

Data mining is one of the hottest research areas nowadays as it has got wide variety of applications in common man’s life to make the world a better place to live. It is all about finding interesting hidden patterns in a huge history data base. As an example, from a sales data base, one can find an interesting pattern like “people who buy magazines tend to buy news papers also” using data mining. Now in the sales point of view the advantage is that one can place these things together in the shop to increase sales. In this research work, data mining is effectively applied to a domain called placement chance prediction, since taking wise career decision is so crucial for anybody for sure. In India technical manpower analysis is carried out by an organization named National Technical Manpower Information System (NTMIS), established in 1983-84 by India's Ministry of Education & Culture. The NTMIS comprises of a lead centre in the IAMR, New Delhi, and 21 nodal centres located at different parts of the country. The Kerala State Nodal Centre is located at Cochin University of Science and Technology. In Nodal Centre, they collect placement information by sending postal questionnaire to passed out students on a regular basis. From this raw data available in the nodal centre, a history data base was prepared. Each record in this data base includes entrance rank ranges, reservation, Sector, Sex, and a particular engineering. From each such combination of attributes from the history data base of student records, corresponding placement chances is computed and stored in the history data base. From this data, various popular data mining models are built and tested. These models can be used to predict the most suitable branch for a particular new student with one of the above combination of criteria. Also a detailed performance comparison of the various data mining models is done.This research work proposes to use a combination of data mining models namely a hybrid stacking ensemble for better predictions. A strategy to predict the overall absorption rate for various branches as well as the time it takes for all the students of a particular branch to get placed etc are also proposed. Finally, this research work puts forward a new data mining algorithm namely C 4.5 * stat for numeric data sets which has been proved to have competent accuracy over standard benchmarking data sets called UCI data sets. It also proposes an optimization strategy called parameter tuning to improve the standard C 4.5 algorithm. As a summary this research work passes through all four dimensions for a typical data mining research work, namely application to a domain, development of classifier models, optimization and ensemble methods.