Perspectives for Forensic Intelligence in anti-doping: Thinking outside of the box.

Today's approach to anti-doping is mostly centered on the judicial process, despite pursuing a further goal in the detection, reduction, solving and/or prevention of doping. Similarly to decision-making in the area of law enforcement feeding on Forensic Intelligence, anti-doping might significantly benefit from a more extensive gathering of knowledge. Forensic Intelligence might bring a broader logical dimension to the interpretation of data on doping activities for a more future-oriented and comprehensive approach instead of the traditional case-based and reactive process. Information coming from a variety of sources related to doping, whether directly or potentially, would feed an organized memory to provide real time intelligence on the size, seriousness and evolution of the phenomenon. Due to the complexity of doping, integrating analytical chemical results and longitudinal monitoring of biomarkers with physiological, epidemiological, sociological or circumstantial information might provide a logical framework enabling fit for purpose decision-making. Therefore, Anti-Doping Intelligence might prove efficient at providing a more proactive response to any potential or emerging doping phenomenon or to address existing problems with innovative actions or/and policies. This approach might prove useful to detect, neutralize, disrupt and/or prevent organized doping or the trafficking of doping agents, as well as helping to refine the targeting of athletes or teams. In addition, such an intelligence-led methodology would serve to address doping offenses in the absence of adverse analytical chemical evidence.

Modelling growth and nitrogen balance of barley under ambient and future conditions

Selostus: Ohran kasvun ja typpidynamiikan mallintaminen nykyisissä ja tulevaisuuden olosuhteissa

Artificial-Intelligence-Based Optimization of the Management of Snow Removal Assets and Resources Final Report, October 2002

Geographic information systems (GIS) and artificial intelligence (AI) techniques were used to develop an intelligent snow removal asset management system (SRAMS). The system has been evaluated through a case study examining snow removal from the roads in Black Hawk County, Iowa, for which the Iowa Department of Transportation (Iowa DOT) is responsible. The SRAMS is comprised of an expert system that contains the logical rules and expertise of the Iowa DOT’s snow removal experts in Black Hawk County, and a geographic information system to access and manage road data. The system is implemented on a mid-range PC by integrating MapObjects 2.1 (a GIS package), Visual Rule Studio 2.2 (an AI shell), and Visual Basic 6.0 (a programming tool). The system could efficiently be used to generate prioritized snowplowing routes in visual format, to optimize the allocation of assets for plowing, and to track materials (e.g., salt and sand). A test of the system reveals an improvement in snowplowing time by 1.9 percent for moderate snowfall and 9.7 percent for snowstorm conditions over the current manual system.

Biotecnologia Ambiental. Aplicacions biotecnològiques a la millora del medi ambient

La biotecnología ambiental comprende el conjunto de actividades tecnológicas que facilitan la comprensión y la gestión de los sistemas biológicos en el medio ambiente, con el fin de proveer productos y servicios. Actualmente, la gestión del medio ambiente y de sus recursos naturales no se comprende si no se realiza de manera sostenible. Los avances científicos y tecnológicos le están permitiendo a la biotecnología ambiental, el desarrollo de nuevas herramientas y aplicaciones con los que responder a los principales retos medioambientales actuales. Entre estos debe destacarse la disponibilidad de recursos hídricos y energéticos. El papel esencial de los microorganismos tanto en el ciclo de los elementos como en el funcionamiento de los ecosistemas naturales ha comportado una estrecha relación entre la biotecnología ambiental y la ecología microbiana. Las nuevas técnicas moleculares de genómica, proteómica i metabolómica, han facilitado a la biotecnología ambiental plantearse nuevas perspectivas a partir de los recientes conocimientos estructurales y funcionales de los consorcios microbianos. La comprensión de la biodiversidad y la funcionalidad de los estos consorcios microbianos está introduciendo una nueva forma de gestionar los recursos naturales y el medio ambiente, de manera similar a como actualmente el estudio de los recursos humanos de una empresa resulta una herramienta esencial para la dirección de empresas y el establecimiento de planes estratégicos. Los principales ámbitos de interés actual de la biotecnología ambiental son aquellos aspectos medioambientales relacionados con el cambio climático, la búsqueda de nuevas fuentes energéticas renovables y alternativas, la mejora de los procesos de reciclaje, el aprovechamiento y la gestión de recursos hídricos, y la mejora de las interacciones entre salud y medio ambiente. No obstante, en nuestro ámbito territorial presentan una mayor importancia y demanda social las actividades y metodologías tecnológicas de la biotecnología ambiental relacionadas con los procesos de reciclaje y bioremediación de suelos contaminados, la mejora de la gestión y el control de la calidad de nuestros recursos hídricos y la mejora de aquellas actividades donde interacciona la salud y el medio ambiente. Las aportaciones significativas de la biotecnología ambiental en el desarrollo de energías realmente alternativas y en el control del cambio climático queda relegadas en un segundo término des de un punto de vista de su aplicabilidad actual y futura a corto plazo.

L'experiència pilot desenvolupada a partir del projecte d'innovació "La gestió integrada de la qualitat, el medi ambient i la seguretat en la docència experimental dels estudis de grau de les Facultats de Belles Arts"

Es presenta un projecte d'innovació docent, la recerca desevolupada del qual va incorporar aspectes relacionats amb la seguretat i la sostenibilitat dels procediments realitzats als tallers i laboratoris de les Facultats de Belles Arts, aplicant criteris de gestió de qualitat. Els resultats d'aquestes investigacions tenen una extensió social en l'àmbit de les Belles Arts en general. El projecte d'innovació docent va aplicar criteris de gestió de qualitat. La recerca desenvolupada va incorporar aspectes relacionats amb la seguretat i la sostenibilitat dels procediments als tallers i laboratoris de les Facultats de Belles Arts. Els resultats d¿aquestes investigacions tenen una extensió social en l'àmbit de les Belles Arts en general. Amb aquest projecte es va redissenyar un model de procediment normalitzat de treball (PNT) que 11 tallers diferents de les Facultats de BBAA de Barcelona, Conca i València van utilitzar per a elaborar 14 PNT i 3 vídeos de suport. Aquests es van aplicar durant una experiència pilot (curs 2009-2010). El nombre de participants en l¿experiència va ser de 211 alumnes, 15 professors, 10 tècnics de taller, majoritàriament de BBAA de la Universitat de Barcelona. L'experiència pilot va demostrar satisfactòriament la viabilitat de l'aplicació del model de PNT adoptat i els beneficis, de la seva aplicació, orientats a la millora continuada de la qualitat docent i de la investigació. Per concloure el projecte es va elaborar el procediment general (PG) que determina les pautes per a redactar un PNT. Aquest PG va ser aprovat recentment per la CSSMA del Centre2 i es podrà aplicar en el futur en la Facultat de BBAA de Barcelona. Sobre l'experiència s'han realitzat les publicacions pertinents (un llibre i un DVD) i s'ha participat també en dos congressos.

The ability model of emotional intelligence: Searching for valid measures

Current measures of ability emotional intelligence (EI)--including the well-known Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT)--suffer from several limitations, including low discriminant validity and questionable construct and incremental validity. We show that the MSCEIT is largely predicted by personality dimensions, general intelligence, and demographics having multiple R's with the MSCEIT branches up to .66; for the general EI factor this relation was even stronger (Multiple R = .76). As concerns the factor structure of the MSCEIT, we found support for four first-order factors, which had differential relations with personality, but no support for a higher-order global EI factor. We discuss implications for employing the MSCEIT, including (a) using the single branches scores rather than the total score, (b) always controlling for personality and general intelligence to ensure unbiased parameter estimates in the EI factors, and (c) correcting for measurement error. Failure to account for these methodological aspects may severely compromise predictive validity testing. We also discuss avenues for the improvement of ability-based tests.

Characterization of surface functional groups present on laboratory-generated and ambient aerosol particles by means of heterogeneous titration reactions

A Knudsen flow reactor has been used to quantify surface functional groups on aerosols collected in the field. This technique is based on a heterogeneous titration reaction between a probe gas and a specific functional group on the particle surface. In the first part of this work, the reactivity of different probe gases on laboratory-generated aerosols (limonene SOA, Pb(NO3)2, Cd(NO3)2) and diesel reference soot (SRM 2975) has been studied. Five probe gases have been selected for the quantitative determination of important functional groups: N(CH3)3 (for the titration of acidic sites), NH2OH (for carbonyl functions), CF3COOH and HCl (for basic sites of different strength), and O3 (for oxidizable groups). The second part describes a field campaign that has been undertaken in several bus depots in Switzerland, where ambient fine and ultrafine particles were collected on suitable filters and quantitatively investigated using the Knudsen flow reactor. Results point to important differences in the surface reactivity of ambient particles, depending on the sampling site and season. The particle surface appears to be multi-functional, with the simultaneous presence of antagonistic functional groups which do not undergo internal chemical reactions, such as acid-base neutralization. Results also indicate that the surface of ambient particles was characterized by a high density of carbonyl functions (reactivity towards NH2OH probe in the range 0.26-6 formal molecular monolayers) and a low density of acidic sites (reactivity towards N(CH3)3 probe in the range 0.01-0.20 formal molecular monolayer). Kinetic parameters point to fast redox reactions (uptake coefficient ?0>10-3 for O3 probe) and slow acid-base reactions (?0<10-4 for N(CH3)3 probe) on the particle surface. [Authors]

Intelligence-led crime scene processing. Part II : Intelligence and crime scene examination.

A better integration of the information conveyed by traces within intelligence-led framework would allow forensic science to participate more intensively to security assessments through forensic intelligence (part I). In this view, the collection of data by examining crime scenes is an entire part of intelligence processes. This conception frames our proposal for a model that promotes to better use knowledge available in the organisation for driving and supporting crime scene examination. The suggested model also clarifies the uncomfortable situation of crime scene examiners who must simultaneously comply with justice needs and expectations, and serve organisations that are mostly driven by broader security objectives. It also opens new perspective for forensic science and crime scene investigation, by the proposal to follow other directions than the traditional path suggested by dominant movements in these fields.

Intelligence-led crime scene processing. Part I : Forensic intelligence.

Forensic science is generally defined as the application of science to address questions related to the law. Too often, this view restricts the contribution of science to one single process which eventually aims at bringing individuals to court while minimising risk of miscarriage of justice. In order to go beyond this paradigm, we propose to refocus the attention towards traces themselves, as remnants of a criminal activity, and their information content. We postulate that traces contribute effectively to a wide variety of other informational processes that support decision making inmany situations. In particular, they inform actors of new policing strategies who place the treatment of information and intelligence at the centre of their systems. This contribution of forensic science to these security oriented models is still not well identified and captured. In order to create the best condition for the development of forensic intelligence, we suggest a framework that connects forensic science to intelligence-led policing (part I). Crime scene attendance and processing can be envisaged within this view. This approach gives indications abouthowto structure knowledge used by crime scene examiners in their effective practice (part II).