Universidad de Alcalá-OTRI posted this:Emotongue: A software for every customer with a Smartphone (Android) interested in managing their own emotions and for companies interested in their employees’ emotional healthSUMMARY Emotongue is an application for smartphones with the Android System, designed in Spanish and English, so that every customer who speaks one or both of them could easily use it every time and everywhere, having a data connection. Emotongue is not a simple app, it is the app that everybody was looking for! It had been designed for a research project carried out in the Department of Sciences of Education of the University of Alcalá, Spain, but due to its features and the great benefits it has, now it is available for every customer interested in improving his/her resources for managing his/her emotional world. Emotongue has been created for helping people to know their emotions, connect with them and learn how to manage them. The app is a tool easy to use, with a colored and dynamic design. It sends the user 5 notifications per day, and she/he has at his/her disposal 2 hours to answer each notification either by a written message or by an audio. The app is available in every country in which people speak English and/or Spanish. An improved version of the app could send users a feedback about their evolution in their management of their emotions and their use of the app. A part from the app, the authors could offer a service to companies interested in it, by creating courses about emotional management, designed according to the company’s needs, something very difficult to find in the trade market.
Unitat de Valorització de la URV posted this:
Licensing Manager at Fundació URV
Yissum - Research Development Company of the Hebrew University posted this:Naturally Occurring Compounds for Treating Pathogenic Factors Common to Cystic FibrosisCannabis project Derivatives of cannabinoids have an antimicrobial and anti biofilm effect on pseudomonas and candida which are major ethological pathogenic factors in CF Project ID : 6-2019-6720
Yissum - Research Development Company of the Hebrew University posted this:Identifying and Optimizing Treatment for Neuropathic PainIdentifying and Optimizing Treatment for Neuropathic Pain Project ID : 6-2019-9749
Montserrat Sole Castellvi posted this:
Project Manager at Knowledge Innovation Market
Technology Transfer OfficeView Profile
Center for Technology Transfer and Commercialization of Novosibirsk State University posted this:Novel technology of geological mapping with reduced exploration costsNovosibirsk State University (Russia) has developed a new paradigm of geological mapping of Pacific-type folded belts. It allows to improve the quality of geological mapping and to reduce the cost of geological exploration of natural resources. Exploration costs are cut down by excluding/reducing the scope of surface and subsurface exploration in unpromising areas. The university seeks for partners to sign commercial agreements, R&D agreements, and service contracts.
Alexander Kvashnin posted this:
Director at Center for Technology Transfer and Commercialization of Novosibirsk State University
Consejo Superior de Investigaciones Científicas posted this:Biotechnological production of 11α hydroxylated steroids using recombinant bacteria.CSIC has developed a procedure for the biotechnological production of 11α hydroxylated steroids by generating and subsequent use of recombinant bacteria. These recombinant bacteria allow to perform microbial biotransformation processes that result in 11αhydroxylated steroid compounds from raw materials such as phytosterols and intermediate products efficiently and economically. These compounds have numerous applications in pharmacology. Companies are sought for implementing and commercializing the new technology under patent license agreement. An offer for Patent Licensing
Maxim Korshikov posted this:
Innovation Manager at Technoton Engineering
Universidad de Alcalá-OTRI posted this:Systems and applications based on indoor positioning via led-lightingThe use of LED lamps available for lighting of different parts of a building or room in such a way as to allow the transmission of very high-frequency codes non-perceptible by humans together with the illumination lights. These codes (one unique code for each LED lamp) will be decoded by light detectors included in smart-devices, or by detectors designed particularly for this purpose. From the code information, the device positioning can be determined with high precision.
Universidad de Alcalá-OTRI posted this:Efficient sensing techniques for smart city applicationsThe city of the 21st century demands a set of digital services that provide citizens with improved access to resources such as transport, education, health care, energy, safety, and the environment. Giving intelligence to these services means having an extensive network of sensors and the management of information supported by the Internet of things (IoT). Wireless sensor networks present two major challenges: efficient communication and energy autonomy. Event-based sensing techniques help to optimize both by analyzing the information registered in the sensor and making it available to the network only when necessary. In the GEINTRA group, we have experience in event-based sensing techniques and their application to the field of Smart Cities.
Guillermo Rodríguez posted this:
R&D Manager at Biótica, Bioquímica Analítica,S.L.
Pulsa posted this:Weight & gas pressure IoT sensor telemetry solution with machine learning predictive inventoryPulsa provides predictive inventory via purpose-built, connected hardware and an advanced machine learning backend. We are able to understand variable consumption and tell our customers when they actually need to refill or reorder inventory, instead of repeatedly checking every item. We have built our product to address a large portion of the real-time inventory market, and we are initially focused on industrial gas cylinders. We can eliminate production down time due to depleted gas cylinders and reduce the number of cylinders held in inventory. Our solution, compared to other existing in-market solutions, is significantly more affordable (10x more affordable than existing solutions) and easier to set up (out of box set-up, does not require technical experience) than existing inventory telemetry products. It also combines the real time inventory knowledge with an advanced machine learning backend that predicts when inventory needs to be replenished and notifies end users.
Yissum - Research Development Company of the Hebrew University posted this:Early Detection and Personalized Treatment of Breast Cancer, Using Comparative GenomicsUsing cutting-edge comparative genomics, data integration and machine learning, the researchers will develop a comprehensive gene panel that can identify increased risk of breast cancer and offer personalized treatment options based on PARP inhibitors Project ID : 6-2018-6690