Technologies

4Ts Game was born in ITD in 2017 to indicate a board game for teacher training, which aims to develop skills in designing collaborative learning activities. The game was originally conceived as a 'tangible' game, consisting of a board and 4 decks of paper cards which contain inputs that guide the teachers/players' design process. Subsequently the game evolved and was developed in its digital version. In this version, developed in Unity and with an underlying knowledge base in Prolog, the game is able to provide feedback to teachers regarding the design/game choices made.

Our innovative proposal involves an educational robotics training program, resulting from an experimental research that combines traditional educational approaches with the utilization of robotics. Specifically, the educational robot Thymio, developed by EPFL, serves as a facilitator in the learning process to enhance School Readiness.

An innovative approach for the treatment of diabetic and venous ulcers, characterized by a difficult healing process and therefore at potential risk of infection and therefore of hospitalization and amputation of the limb, is represented by the local administration of "bioactive" factors through the use of synthetic and/or biological matrices that allow a gradual and controlled release in order to obtain a better and faster healing.

Recently, nanoparticles and nanovesicles have been investigated as potential approaches for the treatment of neurodegenerative diseases. In particular, in the Biotech sector an increasingly deeper penetration of new treatment models and biological drugs based on cellular, subcellular and vesicle therapies is expected. The patent is based on the production of Myelin-based nanoVesicles (MyVes) produced by microfluidics, starting from myelin extracted from brain tissue. These vesicles find two major fields of applications as potential drugs or as supplements/nutraceuticals.

NANOINCICLO is a technology based on the use of nanostructured cyclodextrins (CDs) for the targeted delivery of drugs such as anticancer drugs, photodynamic drugs, anti-inflammatories, antivirals, antibacterials, nutraceuticals and metals with therapeutic and diagnostic properties. Successful CDs for the proposed technology are FDA-approved or in advanced pre-clinical investigational stage and include natural and functionalized, polymeric, and amphiphilic monomeric CDs.

The proposed technology is based on the concept of Power-Over-Fibre (PoF), which involves the transmission of data and power over an optical fiber. This technology is suitable for applications where traditional copper cabling is impractical or undesirable. This is the case with pantographs, where there is a large potential difference between the catenary and the earth, and therefore any electrical contact must be avoided for safety reasons. Furthermore, pantographs operate in an environment with very high electromagnetic interference (EMI).

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.

Filamentous bacteriophages for size, in vivo biodistribution and easiness of engineering, are considered as natural nanoparticles. The developed technology allows the construction of bio-nanoparticles based on filamentous bacteriophages delivering proteic antigens and immunomodulating lipids. Thanks to the high content of hydrophobic residues, phage capsid proteins have high binding affinity to lipids, allowing the conjugation of immunostimulating lipids.

The platform allows the deployment of a sensor network with peripheral nodes spread on the crop fields or on the environment for the monitoring of crop parameters/environmental parameters. The network architecture integrated LoRa peripheral nodes for short-medium range communication and star-center NB-IoT based for long range communication. It includes a web server and MySQL database for data storage and visualization. The network architecture is scalable to adapt to the area to monitor.

The platform allows acquisition of data from commercial and custom sensors. By now, the system has been embedded in a wearable wristband where elastomeric based strain gauge have been integrated to detect fine hand/wrist/arm movements. The platform integrates inertial sensors (accelerometers, gyroscopes) to acquire more details about the subject movements. A sensor-fusion algorithm enables advanced movement recognition (gesture, 3D orientation). A machine-learning algorithm is in development to increase the performance of the platform.

The environment as well as the food production provide a number of both natural and synthetic compounds whose effects on human being as an organism have not yet been determined nor investigated.

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.

Our team can develop low-cost ultra-flexible sensors integrated on plastic substrate for volatile organic compounds (VOCs) and gas detection. These devices combine scalable fabrication technologies, implementing active materials such as nanostructured metal oxides or stack of nanostructures decorated with metal nanoparticles, thus enabling a high sensitivity (in the range of hundreds of ppb). These devices can be applied to numerous industrial and commercial sectors and they can be embedded in systems that are more sophisticated.

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.

Environmental monitoring is a rapidly growing field, both in academia and industry. The use of wearables for environmental monitoring is a promising technique, as it allows data to be collected continuously and comprehensively. The main problem with using wearables for environmental monitoring is the size and weight of the system, as well as the high degree of specialization required to develop a fully functional device.