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1. |
Record Nr. |
UNINA9910784255403321 |
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Titolo |
The media [[electronic resource] ] : the terrorists' battlefield / / edited by Centre of Excellence Defence Against Terrorism, Ankara, Turkey |
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Pubbl/distr/stampa |
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Amsterdam, Netherlands ; ; Washington, DC, : IOS Press, 2007 |
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ISBN |
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6610934827 |
1-280-93482-4 |
9786610934829 |
1-4294-9222-8 |
1-60750-235-6 |
600-00-0583-0 |
1-4337-0875-2 |
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Descrizione fisica |
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1 online resource (172 p.) |
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Collana |
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NATO security through science series. E, Human and societal dynamics, , 1574-5597 ; ; v. 17 |
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Disciplina |
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Soggetti |
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Terrorism and mass media |
Terrorism in mass media |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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"Proceedings of the NATO Advanced Research Workshop on the Media: Vital Ground for Terrorist Operations, Ankara, Turkey, 8-9 June 2006."--T.p. verso. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Title page; Preface; Contents; The Evolution of the Media in the Coverage of Terrorism; Aspects of the Interactions Between Terrorism, Public Opinion and the Media; The Struggle Between Governments and Terrorist Organisations for International and Domestic Public Opinion; The Security Challenge to the Media Dealing with Terrorism; Focus on the Threat of Terrorism to the Caucasus and the Media's Coverage of this Danger; Author Index |
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Sommario/riassunto |
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Commences on the premise that in contemporary conflict, 'war amongst the people', the objective is public opinion. This book shows how conventional warfare between clearly identifiable armies is no more. Now, armies are sent to neutralize insurgents, armed militias and terrorists amongst a civilian population, preferably with the latter's consent. |
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2. |
Record Nr. |
UNISA996635666403316 |
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Autore |
Szczecinski Nicholas S |
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Titolo |
Biomimetic and Biohybrid Systems : 13th International Conference, Living Machines 2024, Chicago, IL, USA, July 8–11, 2024, Proceedings / / edited by Nicholas S. Szczecinski, Victoria Webster-Wood, Matthew Tresch, William R. P. Nourse, Anna Mura, Roger D. Quinn |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (461 pages) |
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Collana |
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Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 14930 |
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Altri autori (Persone) |
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Webster-WoodVictoria |
TreschMatthew |
NourseWilliam R. P |
MuraAnna |
QuinnRoger D |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Brain Network Modeling -- BrainX3 3 0 Advancing Neuroinformatics and Artificial Brains for Living Machines -- Towards Biophysical Network Simulations of Stochastically Formed Neurospheres -- Tools for Studying Behaviors -- FlyWheel A Robotic Platform for Modeling Fly Visual Behavior -- A coupled oscillator model of human attachment dynamics evaluated in a robot dyadic interaction -- Creating an Artificial No Fly Zone with Sensory Disruptions -- Sensors and Sensing -- Maximizing robotic limb rigidity and strain sensing capabilities through localized Kevlar fiber reinforcement -- Flexible Strain Gauge Sensors as Real time Stretch Receptors for Use in Biomimetic BPA Muscle Applications -- Sensory feedback cancellation Developing resonator networks to mimic A leptorhynchus cerebellar processing of sensory feedback -- Navigational Systems -- Binocular Vision and Vector Summation Based Integration of Bilateral Innate and Learned Visual Cues in Insect Navigation -- Bioinspired Magnetic Navigation for |
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Exploring Celestial Bodies -- Bioinspired Navigation Based on Distributed Sensing in the Leech Using Dynamic Neural Fields -- A Comparative Study of Reinforcement Learning and Insect Inspired Visual Navigation Methods -- Control and Mechanics of Soft and Continuum Systems -- Erodium awns water transport insights for controlled swelling agent rearrangement in anisotropic structures -- Simulated Control of an Aquatic Serpentine Robot with Stable Heteroclinic Channels -- A comparison of model free controllers for trajectory tracking in a plant inspired soft arm -- Pulse Modulation in Braided Pneumatic Actuators Mimics Contractile Behavior of Biological Muscles -- System Design -- Design of a Rat Robotic Forelimb -- Cellular Plasticity Model for Bottom Up Robotic Design -- Vertical closure constraint for self replicating machines -- Mechanical Design of a Feline Robot for Dynamic Scaling Testing -- Moving Inward with Front Legs Improves Tripod Gaits for Crab like Robot Walking in Sand -- Neural Networks for Computation -- Encoding 3D Leg Kinematics using Spatially Distributed Population Coded Network Model -- Analysis Pipeline for High Dimensional Neuromechanical Model Improvement -- Bio Inspired Neural Networks for Control -- Modulation and Time history dependent Adaptation Improves the Pick and Place Control of a Bioinspired Soft Grasper -- Sequence Generator Network for Neuromechanical Control of Rat Hindlimbs -- Multilevel Synthetic Nervous System Control For Legged Locomotion -- Biohybrid Systems -- Biocompatibility of Asiga Dental Resins Using a Low Cost Printer for Biohybrid Actuator Applications -- Speed independent wall distance estimation along a given trajectory of a biohybrid Fly Robot Interface -- Larva in the loop utilizing Zebrafish larvae to control robots in real time via optokinetic response feedback -- Biomechanics -- Passive Stability of Stance is Determined by the Relationship Between Natural Frequency and Walking Frequency -- A Method to Characterize Rat Hindlimb Mechanics Using Dynamic Perturbations. |
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Sommario/riassunto |
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This proceeding constitutes the 13th International Conference on Biomimetic and Biohybrid Systems, held in Chicago, IL, USA, during July 8–11, 2024. The 27 full papers and 4 short papers were carefully reviewed and selected from 35 submissions. They were categorized under the following topics: Brain Network Modeling; Tools for Studying Behaviors; Sensors and Sensing, Navigational Systems; Control and Mechanics of Soft and Continuum Systems; System Design; Neural Networks for Computation; Bio Inspired Neural Networks for Control; Biohybrid Systems; and Biomechanics. |
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