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Applying metric analysis to the information contained in patent documentation has become one of the principal techniques for modeling technology scenarios for government, business and industry, research institutes, projects, etc. We propose using bibliometric indicators for patent research, identifying patterns and trends based on available technological evidence as well as detecting possible social networks in the "hidden web", which permits effective decisionmaking in the research context. A case study is used to demonstrate these concepts, analysing the EUA patents database and processing it with a tool developed by Pinar del Río University. Ucinet software is used on occasion to map existing social networks. This makes it possible to produce results that demonstrate the relevance of patentometric studies to research projects, including the possibility of redirecting the objectives of a research project on the basis of this analysis.

Due to the rapid changes and societal challenges, such as the need to create qualified employment for young people and to find new ways to develop territories through strategies of smart specialization, the Creative and Cultural Industries have been given great importance as a sector capable of empowering economic development and sustainable society. There are many examples of countries, regions and cities - territories - that have developed on the basis of the creative and cultural industries, and in many cases the role of Public Policies has been decisive. And with more practical evidence of visible and measurable results, it is certain that creative and cultural activity has definitely entered the agenda of governments and politicians; and although public discourse on its importance can often be part of politicians' marketing (because it is also good for the public image and generally investment in creativity and culture is well accepted by society), the truth is that in the last decade it has been produced technical and scientific knowledge that demonstrates a growing economic/commercial and symbolic/aesthetic value of creative and cultural activities.

The Confederate Graves Survey Archive of the Texas Division, Sons of Confederate Veterans consists of surveys of cemeteries throughout Texas, and portions of Oklahoma and New Mexico. The surveys document the interment of Confederate States of America military veterans. United States of America (Union) veterans, as well as able-bodied men at the time of the Civil War, are also documented. 13 boxes entitled "Grave Surveys" contain grave surveys listed county-by-county, 3 boxes of "Unit Files" list surveyed individuals by their military unit. Finally, 17 boxes contain "Veteran Files" that document each veteran by name in "last name, first name, middle initial" format. An index that cross-references each of the collection series (Grave Surveys, Unit Files, and Veteran Files) is included, as are institutions to surveyors on how and what to document while conducting surveys. ; San Saba Cemetery #929, San Saba, San Saba County, Texas | Veterans Interred: Thornton, S.J. ; Highland Cemetery #154, Stamford, Haskell County, Texas | Veterans Interred: King, Charles Edward. ; South Sulphur Cemetery #585, Hunt County, Texas | Veterans Interred: Mayo, John S. ; Hillcrest Cemetery #006, Temple, Bell County, Texas | Veterans Interred: Watson, J.T. ; Pendleton Cemetery #678, Pendleton, Bell County, Texas | Veterans Interred: Frazier, R.C. ; South Sulphur Cemetery #585, Hunt County, Texas | Veterans Interred: Mack, John. ; Englewood Cemetery #368, Slaton, Lubbock County, Texas | Veterans Interred: Lokey, T.J. ; Concord Cemetery #587, Hunt County, Texas | Veterans Interred: White, J.R. ; Maxdale Cemetery #099, Maxdale, Bell County, Texas | Veterans Interred: Hammack, Edmund Harper

The Confederate Graves Survey Archive of the Texas Division, Sons of Confederate Veterans consists of surveys of cemeteries throughout Texas, and portions of Oklahoma and New Mexico. The surveys document the interment of Confederate States of America military veterans. United States of America (Union) veterans, as well as able-bodied men at the time of the Civil War, are also documented. 13 boxes entitled "Grave Surveys" contain grave surveys listed county-by-county, 3 boxes of "Unit Files" list surveyed individuals by their military unit. Finally, 17 boxes contain "Veteran Files" that document each veteran by name in "last name, first name, middle initial" format. An index that cross-references each of the collection series (Grave Surveys, Unit Files, and Veteran Files) is included, as are institutions to surveyors on how and what to document while conducting surveys. ; North Belton Cemetery #001, Belton, Bell County, Texas | Veterans Interred: Dupree, Herod G. ; Hall Cemetery #589, Hunt County, Texas | Veterans Interred: Harkey, John Marion.

This paper develops a model of industry dynamics where firms compete to acquire customers over time by disseminating information about themselves in the presence of random shocks to their efficiency. The properties of the model's stationary equilibrium are related to empirical regularities on firm and industry dynamics. As an application of the model, the effects of a decline in the cost of information dissemination on firm and industry dynamics are explored. (JEL D11, D83, L11, L81, M37)

ABSTRACT Wireless sensor networks are used for data collection and event detection in various fields such as home networks, military systems, and forest fire monitoring, and are composed of many sensor nodes and a base station. Sensor nodes have limited computing power, limited energy, are randomly distributed in an open environment that operates independently, and have difficulties in individual management. Taking advantage of those weaknesses, attackers can compromise sensor nodes for various kinds of network attacks. Several security protocols have been proposed to prevent these attacks. Most of the security protocols form routings with cluster head nodes. In the case of routing using only cluster head nodes, it is difficult to re-route when the size of the cluster is increased or the number of the surviving nodes is reduced. To prevent these attacks, the proposed scheme maintains security in a cluster-based security protocol and shows energy efficient routing using genetic algorithm by selecting the appropriate cluster head nodes and utilizing the characteristics of the sensor node with different transmission outputs based on the distance between each node. In this paper, we use a probabilistic voting-based filtering scheme, one of the clusterbased security protocols, and the shortest path, which is a hierarchical routing protocol that the original probabilistic voting-based filtering scheme is using, to test the proposed scheme. This experiment shows the performance comparison of the routing success rate and routing cost according to the number of nodes on the field, as well as the performance comparison according to the cluster size per number of nodes.