Mergers e Acquisitions represent important forms of business deals because of the volumes involved in the transactions and the role of the innovation activity of companies. By considering the patent activity of about one thousand companies, we develop a method to predict future acquisitions by assuming that companies deal more frequently with technologically related ones.
Technologies
In this section it is possible to view, also through targeted research, the technologies inserted in the PROMO-TT Database. For further information on the technologies and to contact the CNR Research Teams who developed them, it is necessary to contact the Project Manager (see the references at the bottom of each record card).
Displaying results 16 - 30 of 32
This invention comprises an interrogation and readout differential method for chemical sensors based on Surface Plasmon Resonances (SPR). The integration of the SPR sensing unit (chip or other), as intermediate reflecting element of a Fabry-Perot (FP) optical resonator, is the starting point for the application of this method.
It enables a systemic and evolutionary development of people, organisations and territories by overcoming the criticality of traditional approaches, which get stuck because of rationalistic reductions in complexity, as well as lack of motivation. This responds to the social sustainability needs highlighted by the UN 2030 agenda. The methodology is based on 3 pillars:
The instrumentation is based on the electrical resistivity tomography (ERT) which is a non-invasive geophysical technology used to obtain information on anomalous bodies possibly present in the subsoil. The theoretical basis lies in the different electrical properties of the lithotypes present in the subsoil.
The NanoMicroFab infrastructure, support companies operating in the field of micro and nanoelectronics through the supply of materials, development of processes, design, fabrication and characterization of materials and devices. NanoMicroFab makes use of existing CNR facilities of the Institute of Microelectronics and Microsystems, the Institute of Photonics and Nanotechnologies and the Institute for the Structure of Matter and provides: • a complete line of development of devices based on wide band gap semiconductors.
Solid State Nuclear Magnetic Resonance spectroscopy (SSNMR) is today one of the most powerful techniques for characterizing solid and soft materials and systems. This spectroscopy allows the detailed characterization of structural and dynamic properties over large spatial (0.1-100 nm) and time (102-10-11 s) scales. Accessing these properties allows a deep knowledge of a material to be obtained and its design and optimization to be oriented.
Combinations of several enzymes in a production chain are preferred to “first generation” enzymatic processes (where the "single reaction - single enzyme" principle was followed), for the synthesis of compounds with high added value starting from simple and cheap substrates. An important requirement for obtaining control in "cascade enzymatic reactions" is the ability to deliver from one biocatalyst to the next one the various intermediates, limiting as much as possible the diffusion of the latter in the solvent.
The metasurface optomechanical modulator is a device designed to modulate the amplitude, phase and polarization of a beam of electromagnetic radiation, independently, or simultaneously, according to prescribed paths in the parameter space (for example, as regards polarization, paths on the Poincaré sphere). The concept of our device can be applied to the entire spectrum of electromagnetic waves: from radio frequency, to microwaves (GHz), to millimeter waves (THz), to far and near infrared radiation, and to visible light.
The technology concerns planar optical antennas composed of thin metal films and dielectric materials for the efficient direction of the light emitted by light sources, such as fluorescent molecules and bio-markers. They consist of a reflector layer, adjacent to the substrate, and a director, semi-reflective, between which the emitter is positioned, integrated into a homogeneous dielectric layer.
The proposed technology deals with the development of active SERS (Surface Enhanced Raman Scattering) substrates ad hoc designed for diagnostics of cultural heritage. The substrates are prepared starting from common commercial 'polishing film' sheets (lapping optical fibers) showing an intrinsic roughness (48- 1000 nm) that favors the SERS effect. A pattern of silver or gold nanoparticles are deposited on these films through Pulsed Laser Deposition (PLD).
The instrument which is under development is a non-conventional portable Raman spectrometer. Raman spectrometers provide the molecular composition of the material surfaces, essential for their identification. The instrument peculiarity relies in the simultaneous acquisition of Raman spectra at imaged position and at different micrometric distances (offset) from the laser illumination area.
The study of proteins is typically limited to notions, sometimes with the aid of virtual 3D models, obtained from visualization programs. A knowledge of this type, although useful, limits the ability to acquire a more direct knowledge, almost never leads to awareness of dimensions, and is particularly difficult for those who do not have a strong capacity for three-dimensional imagination.
uManager is a management game designed to foster the development of young students' entrepreneurial skills and abilities. The game offers the opportunity to manage a tourist village, stimulating the skills of decision making and problem-solving in a simulated scenario adhering to the real one. uManager is suitable for use in the classroom or at a distance, in formal and informal contexts.
This form describes a programmable, autonomous and stand-alone imaging system for the acquisition and processing of images containing subjects whose size is larger than 1cm (e.g. gelatinous zooplankton, fishes, litter, manufacts), form the seafloor or along the water column, in shallow or deep waters. It is capable to recognize and classify the image content through pattern recognition algorithms that combine computer vision and artificial intelligence methodologies.