SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Improvement of Façades' Sound Insulation of Schools near the Bergamo - Orio al Serio International Airport: Case Study

In recent years the acoustic qualification of buildings has gained more and more importance at international level. Building renovation is one of the most common ways to improve the acoustic quality of the existing buildings; in particular, schools buildings are the ones that need more attention. In this context, the sound insulation requirements, especially for buildings near airport zones, play a role of primary importance. This paper analyses the data of a campaign of inspections and on-site measurements of façade sound insulation, concerning five public school buildings, close to the international airport of Bergamo - Orio al Serio. The analysis consisted in checking the sound insulation of buildings, after selecting classrooms with common characteristics, based on an accurate preliminary investigation involving more than 395 different characteristics of frames and glass windows. After having determined the D 2 m,nT,w, the most appropriate technological solutions for a refurbishment project were determined. Finally, the improved façade sound insulation was verified. The refurbishment project took place in 15 classrooms, characterised by a pre-treatment D 2 m,nT,w lower than 38 dB. Experimental post-treatment results showed that all classrooms satisfied the required basic performance of D 2 m,nT,w, and 13 of them fulfilled the high performance requirement of 43 dB, established in the Italian acoustic classification.
"Non-physician clinicians" in low income countries

A potential solution to lack of human resources for maternal health

The crisis in human healthcare resources disproportionately affects the poorest women in low income countries. The World Health Organization reports that net numbers of doctors, nurses, and midwives in Africa will decrease between 2000 and 2015.1 Furthermore, because of population increases, the number of healthcare workers relative to the number of people they need to treat will decrease even more markedly.1 In the linked systematic review (doi:10.1136/bmj.d2600), Wilson and colleagues assess the effectiveness and safety of clinical officers (mid-level healthcare providers who are not medical doctors, yet are trained to perform tasks that are usually undertaken by doctors) in caesarean section surgery, compared with doctors.2 

It has been increasingly recognised that human resources were not sufficiently considered when the Millennium Development Goals were formulated. A review of the link between human resources and health reported that current spending on human resources is inefficient and fragmented.3 The review also looked at “health worker density”: according to its population sub-Saharan Africa has a tenth of the nurses and doctors that Europe has, and Ethiopia has a 50th compared with Italy. …
RAPID MANUFACTURING OF THE MASTER MODELS OF PDC BIT BASED ON FDM TECHNOLOGY

Flexible die forming is the main technology in manufacturing matrix PDC bits presently. In order to solve the problem that manufacturing process of the first moulds strictly relies on handmade, complex fixture and high precision machines, a method based on FDM technology to manufacturing the master models has been put forward. Through the 3D modeling and die design of bit under PRO/E circumstances, STL document of basis master model was obtained, it could realize the rapid modeling of master model by driving FDM equipment directly. It is proved that, this method could improve the precision and efficiency of the bit master models and reduce its costs.
Venture capital and internationalization

Cross-border investments represent a substantial share of venture capital activities. We use a new and comprehensive dataset on worldwide investments to analyze the internationalization of venture capital financing. Our results from the perspectives of (i) venture capitalists, (ii) portfolio companies, (iii) portfolio companies’ countries and (iv) pairs of venture capitalists’ and portfolio companies’ countries suggest that some factors, such as viable stock markets, boost investments by domestic as well as by foreign venture capitalists. Therefore, our results are of interest not only to academics but also to policy makers who want to foster the growth of the local venture capital industry and local companies.
From crisis to crisis: emergencies and uncertainties in large metropolitan areas and cities of Southern Europe

quel impact sur la transformation et la valorisation territoriales?
ANN-based EMG classification for myoelectric control

This work presents a new neural network model related to EMG signal classification for myoelectric control. The aim of this work is to develop a more accurate method for pattern recognition and intention interpretation of five human forearm hand gestures: grasping, extension/flexion, and ulna/radial deviation. A sum of 750 signals that incorporated all the selected hand movements were acquired from five volunteers, preprocessed, and then time and time-series domain features were extracted. Classification model in MATLAB platform is then utilised for classification purposes. The neural network classifier achieved an average accuracy up to 96.7%. The system overall average validation parameters calculated for the five movements were: sensitivity of 96.9%, specificity of 99.0%, PPV of 96.9%, and NPV = 99.1%.
Maximize energy saving and deliver comfort by innovative switchable light transmittance technology

Independent control over the light and heat transfer is a key target for advanced electrochromic smart glass. Existing commercial electrochromic glasses most often employ thin films of transition metal oxides as the active material which dynamically change color under applied potential. Thus the amount of solar heat and lighting input of the building are controlled. Unfortunately, these glasses suffer from significant drawbacks related to cost, durability, functionality and color. According to "Electrochromic Glass and Film Markets–2014-2021", the market for electrochromic (EC) glasses was small - just over $ 15 million in 2015, but it will reach more than $700 million by 2020. 
The development of simple, economical, and scalable methods for preparing high-performance electrochromic materials and transparent electrode will endow electrochromic devices with integrated multiple functionalities and wider applications. Motivated by the benefits of electrochromic materials and devices for significant energy saving from reduced heating and cooling loads, the proposed project MAESDOSO aims to develop electrochromic devices for use in domestic ovens. The targeted device configuration will be entirely new in the home appliance market. Reduction of heat losses through glass of doors will be achieved by reflection of infrared radiation using low emissivity coatings on transparent conducting oxide.
Integrating the current smart glass technology into the home appliance technology will contribute to reduce the cost of operation, increase the efficiency of the applied appliance and fulfill the aesthetic demands of the user. 
Application of the smart glass technology into the oven technology will contribute directly in developing alternative resources for energy saving applications complementary to the European Union Horizon 2020 objectives and contribute EU to achieve
20% energy savings by 2020.
Communication: Biexciton generation rates in CdSe nanorods are length independent

We study how shape affects multiexciton generation rates in a semiconducting nanocrystal by considering CdSe nanorods with varying diameters and aspect ratios. The calculations employ an atomistic semiempirical pseudopotential model combined with an efficacious stochastic approach applied to systems containing up to 20 000 atoms. The effect of nanorod diameter and aspect ratio on multiexciton generation rates is analyzed in terms of the scaling of the density of trion states and the scaling of the Coulomb couplings. Both show distinct scaling from spherical nanocrystals leading to a surprising result where the multiexciton generation rates are roughly independent of the nanorod length.
Multimetallic systems for c-h activation processes

MUSYCA - Multimetallic Systems for C-H Activation processes - is a project designed to obtain a better understanding of the key factors governing C-H activation phenomena in multinuclear copper-based cores present in the most efficient frameworks such as enzymes or zeolites like methane monooxygenases (MMOs) or Cu-ZSM-5, respectively. One of the main goals of the project is to obtain complexes containing Cu2O entities, which have not yet been interrogated and are reactive enough to oxidize C-H bonds. These will be employed in the stoichiometric and catalytic transformation of hydrocarbon bonds of numerous substrates, from easily convertible to extremely challenging ones, being methane the stretch goal. The reactivity patterns and the corresponding mechanisms underlying the formation of Cu-O fragments as well as those involving the formation of C-O bonds will be studied by using a wide variety of analytical techniques. To this end, robust 2,7-substituted [1,8]naphthyridine scaffolds will be employed as dinucleating ligands, since they resemble the environment surrounding dinuclear active sites in natural enzymes and they facilitate a close interaction between the metals, at the same time that the chelating groups in positions 2 and 7 help to stabilize the resulting complexes. These ligands will also be employed in the other major target of the project, which consists of the development of dinuclear Pt-Cu compounds so as to evaluate the metal cooperativity in a modified Shilov system for C-H activation. Only a few studies have been carried out on the role of copper in the Shilov-type C-H functionalization reaction, showing its great potential for improving the catalytic performance of the active species involved in the process. However, the role of Pt as active catalyst and Cu as oxidant in the same complex has never been investigated, and the aforementioned frameworks developed in the labs of Prof. Tilley are ideal for this purpose.
SYSTEM AND APPARATUS FOR REORDERING CONSUMABLE GOODS ASSOCIATED WITH APPLIANCES, AND METHOD THEREOF

A consumable-goods reordering system in which a system controller has access to the signals transmitted by each smart appliance relevant to the environment being monitored, such as a home. Each appliance monitors a particular physical condition that is related to the appliance's usage of a consumable good, senses changes in the condition being monitored, and reports states of the condition. Meanwhile, the system controller memorizes and maintains the states of various processing events, such as when an appliance reported a particular state of the monitored condition. By considering the information reported by the multiple smart appliances, as well as by accounting for the states corresponding to the various events, the system controller is able to continually update a representation of the state of the monitored environment. Having such context awareness enables the system controller to generate intelligently various reorder messages for transmission to the various suppliers of the consumables.
Cone beam imaging: is this the ultimate imaging modality?

This review article provides an overview of cone beam (CB) imaging technology and its role in orofacial imaging, including comparison with two-dimensional (2D) radiography and multislice computed tomography (MCT). The radiation dose levels of CB systems are discussed, with reference to those delivered by MCT and common dental 2D views. The large variation in dose levels delivered by CB systems and the importance of using ultra low-dose CB units are emphasized. Low-dose MCT protocols can be used. CB and MCT image quality are compared. CB is an essential technique that all dental and orofacial clinicians must be familiar with. Where ultra low-dose systems and protocols are used, CB imaging should be considered in day-to-day clinical practice. However, CB imaging is not the technique of choice in many clinical scenarios. Rather than replacing other modalities, CB imaging complements intraoral 2D radiography, panoramic radiography, MCT and other techniques including magnetic resonance imaging, ultrasound and nuclear medicine. MCT is a much more powerful and flexible modality and presently remains the technique of choice over CB imaging in many clinical scenarios. All radiologic examinations, including CB and MCT, should be comprehensively evaluated in entirety. The responsibilities and the radiological skill levels of clinicians involved in imaging as well as the associated ethical and medico-legal implications require consideration.
The Internet and the Transformation of Journalism

Journalism, freely practised, is indispensable to a democratic society: it is the main means by which societies know themselves; it provides the major forum for public debate; and it seeks to hold powers to account. Its centrality to public life is as much needed now as at any time, in order to give coherence to complexity, to discriminate between the significant and the transient, and to fashion stories which can be understood. But facing a context of increasing political pressure, technological change, market uncertainty and regulatory confusion, journalism stands at the crossroads. These issues are tackled in Media, Politics and the Public, an anthology of essays by distinguished media figures. With contributions from around the world, it provides evidence of the state of journalism today, examines its ability to hold powers to account, explores what its effect is on the politics within which it operates and points to ways it could deepen its engagement with citizens’ concerns. The texts stem from the 2010 international conferences organised by the Axess Programme on Journalism and Democracy, the Axel and Margaret Ax:son Johnson Foundation.
Towards improved assessment of safety performance for long-term operation of nuclear civil engineering structures

The purpose of ACES is to advance the assessment of safety performance of safety-critical concrete infrastructure by addressing remaining scientific and technology gaps for the safe and LTO of NPPs. This collaborative project aims to clarify, enhance and unify methods of structural integrity assessment in support of LTO.
The project scope of work focuses mainly on safety critical reinforced and prestressed concrete structures. ACES is aimed at an experimental proof of concepts, and validates the developed methodologies at both a laboratory scale and a quasi-full scale level (mock-ups). 
The proper understanding of deterioration and ageing mechanisms requires a research strategy based on combined experimental and theoretical studies following a multidisciplinary approach, utilizing state of the art experimental and modelling techniques. Material characterization at different length scales is necessary, focusing on the physical understanding of the degradation processes (e.g. radiation effects, internal swelling reactions, liner corrosion, etc.) and their influence on macroscopic mechanical properties and structural/functional integrity of the components.  
ACES aims at having a significant impact on the safety of operational Gen II and III NPPs, and impact the design of next-generation plants. ACES will improve the understanding of ageing and deterioration of concrete, and will demonstrate and quantify inherent safety margins introduced by the conservative approaches used during design and defined by codes and standards employed throughout the life of the plant. The outcomes from ACES will therefore support the LTO of NPPs. 
This will be achieved by using more advanced and realistic scientific methods to assess the integrity of NPP concrete infrastructure. The project will provide evidence to support the methods by carrying out various tests, including large-scale tests based on replicated scenarios of NPPs.
Energy Consumption Optimization and User Comfort Management in Residential Buildings Using a Bat Algorithm and Fuzzy Logic

Energy management in residential buildings has grabbed the attention of many scientists for the last few years due to the fact that the residential sector consumes the highest amount of total energy produced by different energy resources. To manage the energy in residential buildings effectively, an efficient energy control system is required, capable of decreasing the total energy consumption without compromising the user-preferred environment inside the building. In the literature, many approaches have been proposed to achieve the goals of minimizing the energy consumption and maximizing the user preferred comfort by keeping different parameters under consideration, but all these methods face some problems in resolving the issue properly. The bat algorithm is one of the most recently introduced optimization approaches that has drawn the attention of researchers to apply it for solving different types of optimization problems. In this paper, the bat algorithm is applied for energy optimization in residential buildings, which is one of the most focused optimization problems in recent years. Three environmental parameters, namely temperature, illumination and air quality are bat algorithm inputs and optimized values of these parameters are the outputs. The error difference between the environmental parameters and optimized parameters are inputs of the fuzzy controllers which give energy as output which in turn change the status of the concerned actuators. It is proven from the experimental results that the proposed approach has been effectively successful in managing the whole energy consumption management system.
Redefining the dog collar - fresh and innovative, first all-in-one iot platform.

To put it simply, dogs are awesome. Whether they’re begging you for food, barking at their leash to convince you to take them on a walk, or simply greeting you when you get home, dogs do all of the little things that put smiles on faces around the world. Dogs are truly a man’s best friend.

Tail® aims at ways to use innovative technology to improve the quality of life for dogs and dog owners alike. Since dog ownership consumes a substantial part of the owner’s daily routine, it is important to look at what’s frustrating about being a dog owner, as well the social and environmental issues associated with dog ownership and address these problems. At Tail we have come up with solutions to most dog ownership problems by utilizing modern technology in a single, all-in-one device. 

But that’s not all. With the help of sensors that track dog’s vital signs along with wellness indicators Tail® gives concerned owners a deeper look into their pets’ wellbeing. With the aid of Tail® we help dog owners infer vast amount of information about the dog’s health and care needs. 

There is compelling evidence that Tail® is addressing an immense market with significant potential. Our target customers are all dog owning households. In Europe and the USA alone that is about 164 billion households shaping a market worth $16 billion. 

In line with the objectives of the SME Instrument, the Tail® platform has huge potential for a fast market uptake and wide application in the medium and long term across different segments. As such, it is an ideal contender for pre-market funding to nurture promising innovative and disruptive ideas; support their prototyping, validation and demonstration in real world conditions and provide help for wider deployment and market uptake.
MOTOR VEHICLE TANK VENTILATION DEVICE

A tank ventilation device for motor vehicles with an internal combustion engine fed by a fuel tank (10). Said device comprises a filter element (17) which can be connected to a vent pipe (13) of the fuel tank (10), an air inlet (19), an air outlet (20), and an air pump device (27) for diagnosis of errors. Air pump device (27) is integrated into a pump housing (26) with a pump inlet (29) and a pump outlet (28). In order to obtain a compact design and to save assembly space, the pump housing (26) is placed on the filter housing (17) with a pump outlet (28) which is coaxially oriented with regard to the air inlet (19), and secured to the filter housing (17) by means of elastic fastening elements (43). The junction between the pump outlet (28) and the air inlet (19) is sealed in an airtight manner.
Subvención de capital de trabajo para CZEKAMET PL Sp. z o.o. Sp.Komandytowa

El proyecto se refiere al apoyo del empresario a proporcionar liquidez financiera y apoyo a las actividades actuales debido a las dificultades financieras experimentadas por el empresario como consecuencia del brote de COVID-19. Ayuda financiera concedida en el marco del programa n.º SA.57015 (2020/N)
Advanced holistic adverse drone detection, identification neutralization

ALADDIN will study, design, develop, and evaluate, in series of complementary pilots, a counter UAV system as a complete solution to the growing UAV threat problem, building upon a state-of-the-art system and enhancing it by researching on various technologies and functionalities. ALADDIN will follow a holistic and heavily user-centred methodology involving a large number of LEAs and critical infrastructure operators, as well as an expert Advisory Board panel ensuring end-user diversity, as they all face different kinds of threats and work within different regulatory frameworks. This diversity is important to shape EU-wide system specifications and the innovative training curricula and training that will be realised to share the knowledge gained and raise awareness. Furthermore, within the project all regulations, social, ethical and legal elements will be studied thoroughly and continuously with an impact assessment produced and its results monitored during the project’s lifetime.
ALADDIN’s sensing arsenal is comprised of a set of custom, innovative, and unique technologies as well as established and standard sensors used for UAV detection and localisation: 1) 2D/3D paired radars; 2) Innovative optro and thermal panoramic imaging; 3) Custom designed acoustic sensors. These will be fused through novel deep learning techniques in order to provide excellent detection accuracy.
Further, ALADDIN will study and offer a set of neutralization effectors (jammers, physical and hacking). These sensing and countering capabilities will be operated through an advanced command and control (C2) system. The C2 will achieve great detection and classification accuracy within a large range, by fusing data acquired from all sensors through state-of-the-art deep learning techniques. Operator’s efficiency will be enhanced through a novel mixed reality interface with 3D cartographic and situational elements and will be complemented by support to operations like investigation and trainings