SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Pilot line production of transceiver modules for the next generation of smart rf power applications

SMARTEC proposes to raise a unique Power-RF nanoelectronics innovation from TRL6 to TRL8, that will radically transform future transceiver RF-power modules (TRX) and to produce them through a dedicated pilot line. These novel TRX of enhanced performance, smaller size and lower manufacturing cost will be core components of new products, addressing several segments of the RF-power market. SMARTEC paves the way to its stakeholders to access new markets and/or help them sustain their positioning in their industry rivalry, as well as increase their market shares. Moreover, SMARTEC will create new value propositions to several other markets (airliners, airports, air & sea vessel manufacturers, tour operators, etc.), as well as to several customer & social groups (passengers, tourists, ecologists & government bodies). The proposed pilot line will fill a gap in the European landscape of power RF manufactures and help European firms using power RF front ends compete global players. Industry faces 2 challenges: (A) In general, upcoming power RF front end markets (e.g. commercial radars, backhaul, SATCOM) demand more and more higher power levels, higher frequencies, the ability to sustain power-ups, and all at smaller size and lower cost. (B) Two specific “RF-Power Systems-based industry”, those of Avionics and Maritime, are about to face an obligatory adaption to new or updated strict EU regulations (RECAT EU3 & COLREGS), regarding, Airport and maritime Safety. The proposed coplanar monolithic GaN MMICs and RF MEMS (only available by TRT and FORTH) product is addressing simultaneously all aforementioned industry problems, while all other competing technologies (commercially available or not) offer partial solutions. Furthermore, the simplified SMARTEC fabrication process alleviates back-end production steps thus lowering cost by 25% which for mass applications (e.g. 5G) can prove the key winning factor.
Stigmergic cooperation of nanoparticles for swarm fuzzy control of low-density lipoprotein concentration in the arterial wall

The concept of swarm fuzzy control by stigmergic cooperation of simple nanoparticles is proposed.The approach is applied to control of LDL concentration in the arterial wall.The universal function approximation property is shown in the aqueous environment of living tissue.Numerical simulations show improved performance in contrast to authors' earlier work.The new scheme can distinguish between healthy and unhealthy arterial walls to reduce drug side effects. This paper proposes the use of stigmergic cooperation between two swarms of Fuzzy Nanoparticles (FNPs) and Auxiliary Nanoparticles (ANPs) for intelligent control of Low-Density Lipoprotein (LDL) concentration in the arterial wall, as a novel non-invasive method for prevention of atherosclerosis. Given any desired fuzzy controller, a swarm of FNPs in the aqueous environment of a living tissue can collectively realize an accurate approximation of this controller, which is called swarm fuzzy controller. In this study, the task of the swarm fuzzy controller is to manipulate the pheromone level of the environment as output according to the sensed value of LDL concentration as input. Pheromone is a chemical substance that is used for stigmergic communication between two swarms of FNPs and ANPs. An ANP consists of a drug reservoir connected to a nanoscale valve which is controllable by pheromone concentration. The level of pheromone in the local environment of an ANP determines how much drug should be released by it. The hardware complexity of the proposed approach is lower than nanorobotics to facilitate its manufacturing. Simulation results on a well-known mathematical model demonstrate that this method can successfully reduce the LDL level to a desired value in the arterial wall of a patient with very high LDL level, while its performance is much better in contrast to the previous work of authors. Also, the mass of the released drug in a healthy wall is 16 times lesser than its corresponding value in an unhealthy wall.
Ict for Smart Healthcare toUrism

wISHfUl: Ict for Smart Healthcare toUrism aims at creating a synergy between territorial tourism and healthcare offers, a real opportunity to promote a systemic approach and define a collaborative interregional network. Through a dedicated ICT platform, the territories involved in the Programme will share their health and tourist offers addressed to different target of users. This will create a coherent and integrated ecosystem inside the area, focused on the valorisation of territorial health excellences and cultural heritage that will grant to each user the definition of tour package services perfectly calibrated on their personal needs and diseases. The platform in fact has the task of combining supply and demand, in order to offer that combination of carefully measured services for the health needs of the users.
The definition of these integrated tourist offers will be an opportunity for requalifying and valorising territorial points of interest, intended to make them both attractive from a tourist point of view and accessible to individuals with different pathologies. These recovered points of interest will be the core of the project pilot cases. The project, seen as opportunities deriving from the articulation of trip packages that cover health needs and cultural fruition of the area, includes three hypothetical application scenarios:
1) Territorial Health Excellences Valorisation: Enhancement of clinical and health excellence and tourist strengths in a combined offer, that aims at expanding current markets.
2) Tourist offer addressed to individuals with chronic diseases: Health needs of patients who, although not suffering from disabling diseases, have particular necessities in the definition of their tourist offer, or may need to a health support even on holiday, in the tourist area chosen.
3)Tourist offer addressed to individuals with disabling diseases, needing the definition of specific tourist routes.
Organ on chip in development

Organ-on-chip technology will revolutionize the healthcare domain by offering new and ground breaking solutions to different industries and especially for regenerative medicine and medication.
ORgan-on-Chip In Development (ORCHID) will create a roadmap for organ-on-chip technology and the framework to build a network of relevant stakeholders. ORCHID will achieve this through 5 objectives: (i) evaluation of the technology (state of the art and unmet needs), (ii) identification of ethical issues, establishing standards and identifying measures for regulatory implementation, (iii) analysis of economic and societal impact, training and education, (iv) developing a roadmap which will guide the required R&D efforts and (v) raising awareness and building the ecosystem for organ-on-chip technology through a digital reference platform .
ORCHID will have a broad impact: it will facilitate  drug development,  contribute significantly to reducing animal experiments and help in developing personalized medicine. ORCHID will achieve these goals by providing a framework to the main stakeholders, bringing together key players and raising awareness on organ-on-chip technology throughout Europe. The digital platform will gather all information on existing and new initiatives in the field. In this way ORCHID as a whole will secure and reinforce Europe’s leadership on organ-on-chip.
The consortium is composed of the main contributors to the field who are all very experienced and who will strongly collaborate with each other. Leiden University Medical Centrum (LUMC) will lead the consortium, the Institute for human Organ and Disease model (hDMT) will focus on the strategy and the roadmap, Fraunhofer IGB on impact assessment, CEA Leti on eco-system development and the digital platform, IMEC on the ethical aspects, regulation and standardization and the University of Zaragoza will lead dissemination. ORCHID will install an Advisory Board composed of complementary specialists in the field.
DYNAMICALLY RENDER LARGE DATASET IN CLIENT APPLICATION

Dynamic rendering of a large dataset is provided. A client application initiates operations to dynamically render the large dataset by identifying and retrieving an initial page of items from the large dataset to render in a visible area. The initial page of items is dynamically sized while rendering. A consumed section of the visible area is measured to determine utilization by the initial page of items. Adjacent pages of items are also retrieved from the large dataset to render in a remaining section of the visible area determined based on the consumed section. The adjacent pages of items are rendered in the remaining section of the visible area.
Sustainable ports

SUSPORT intends to strengthen the institutional capacity and cross-border governance of the ports of the Programme Area in this sector, enhancing the environmental sustainability and energy efficiency. In particular, a model of cross-border plan for environmental sustainability and port energy efficiency will be developed, declined in each port through an ad hoc plan (WP3) which will be tested in concrete pilot actions, with tangible results (WP4) . Based on the lessons learnt in WP3 and WP4, the ports of the Program Area will sign a Protocol for the application of a joint cross-border strategy in this area, thus harmonizing the policies in the medium and long term (WP5), with a benefit for the citizens who live in the vicinity and in the municipalities where commercial calls are made. Also, specific recommendations in this sense will be provided to EUSALP, EUSAIR and EUSDR.No project so far has ever brought together all the ports of the Programme Area, seeking common solutions to common problems, nor has a joint cross-border strategy ever been built.
Nontherapeutic Celiotomy Incidence is not Affected by Volume of Pancreaticoduodenectomy for Pancreatic Adenocarcinoma

Nontherapeutic celiotomy for pancreatic adenocarcinoma is detrimental to patients by delaying medical treatment as a result of unnecessarily incurred postoperative recovery time. This study was undertaken to evaluate whether surgeon volume of pancreaticoduodenectomy for pancreatic adenocarcinoma impacted the incidence of nontherapeutic celiotomy. All patients undergoing an intended pancreaticoduodenectomy for pancreatic adenocarcinoma were evaluated from 2003 to 2012. Survival was calculated using Kaplan-Meier analysis. The association between surgeon volume of pancreaticoduodenectomy and occurrence of nontherapeutic celiotomy was assessed using Fisher's exact test. Median data are presented. Eight surgeons undertook 443 intended pancreaticoduodenectomies for patients with pancreatic adenocarcinoma; 329 (74%) patients underwent pancreaticoduodenectomy, whereas 114 (26%) patients underwent nontherapeutic celiotomies. Two surgeons undertook 85 per cent of operations. Surgeon volume did not impact the incidence of nontherapeutic celiotomies ( P = 0.26). Seventy-seven (68%) patients had metastatic disease at the time of the operation, whereas 37 (32%) patients had locally advanced unresectable disease. These patients had survivals of 5.0 and 6.0 months, respectively ( P = 0.77). A high proportion of patients—one in four—undergoing pancreaticoduodenectomy for pancreatic adenocarcinoma will ultimately undergo a nontherapeutic celiotomy. Surgeon volume of pancreaticoduodenectomy for pancreatic adenocarcinoma does not lessen the incidence of non-therapeutic celiotomies. Preoperative prediction of patients with imaging-occult metastatic or locally advanced disease remains a challenge, even for high-volume surgeons. Attempts to create algorithms for patients with high risk of imaging-occult metastatic or locally advanced disease to undergo staging laparoscopy and/or positron emission tomography scanning may decrease the burden of patients undergoing nontherapeutic celiotomies.
Concept and Connotation of Low-carbon Economy

After studying relevant viewpoints of both domestic and overseas scholars,the author expounded and defined the definition,characteristics,elements,and scientific connotation of low-carbon economy,and thought that low-carbon economy was a development pattern characterized by low energy consumption,low pollution and low-emission,which was a new rule to regulate the pattern of the world development for the purpose of tackling climate change,ensuring energy security,and boosting sustainable economic and social development.It had three characteristics of economy,technicality and purposiveness,being constituted by five elements,including low-carbon technologies,low-carbon energy resources,low-carbon industries,low-carbon cities and low-carbon management.It had three entrances to develop low-carbon economy.They were low-carbon society,low-carbon market and low-carbon industries.The low-carbon economy was not only an economic development principle,but also a mode of economic development.At the same time,the low-carbon economy was not only a scientific problem,but also a political issue.In addition,it was also a comprehensive problem interweaving economic,social,and environmental systems.
Low Carbon Energy Innovations Systems in Natural Resource Rich Developing Countries

The transition to low carbon economy requires deep changes in the energy systems of the great majority of developing countries. However, only a small group of these countries is engaging significant efforts to develop renewable energies. The success in the diffusion of renewable energy technologies requires dynamic systems of innovation. In this chapter we analyze the recent evolution Brazilian sugarcane innovation system that was pioneering in the development and diffusion of bioethanol. This system is increasingly challenged by the acceleration of the technological regime, which is provoked by the energy crisis and the transition to the low carbon economy. The Brazilian innovation system has different capacities to cope with this challenge. In this chapter we differentiate the agriculture subsystem, which function in a STI (Science, Technology, and Innovation) mode from the industrial subsystem, which operates in a DIU (Doing, Using, and Interacting) mode. The agricultural subsystem has demonstrated a better ability to cope with the technological challenges of the new biotech research methodologies while the capital goods industry has much less propensity to deal with the second generation technologies for bioethanol. We describe also the present ethanol supply crises and its probable causes.
Environmentally friendly parametric alarm for alerting marine mammals of approaching vessels

Marine mammals are vulnerable to boat, barge, and ship collisions. Although more commonly identified and reported in busy coastal areas, collisions are not restricted to shipping lanes or shallow water environments. A common denominator is that they all occur near the surface. Here the acoustical laws of reflection and propagation significantly limit the ability of marine mammals to hear and locate the sounds of approaching vessels. Acoustic measurements from controlled ship passages through vertical hydrophone arrays demonstrate the confluence of factors that poses auditory detection challenges for both whales and manatees. A highly directional, environmentally-friendly, low intensity underwater parametric alarm has been developed to mitigate these challenges & safely alert marine mammals of approaching vessels. The efficacy has been demonstrated with wild manatees. Ninety-five percent of manatees during alarm-on trials elicited avoidance reactions while only 5% of manatees during alarm-off trials elicit...
Construction and design of advanced colloidal complexes from anisotropic particles

We aim to establish a multidisciplinary research program focusing on the design and self-assembly of anisotropic colloidal particles into colloidal complexes in the presence/absence of external fields. We seek to achieve control over the anisotropies by means of component variation, shape tuning and surface functionality of the building materials. We envisage that these anisotropic build blocks will not only offer a direct route enriching our understanding of molecular behaviours (isomerisation, chirality and steric hindrance) at colloidal scales but will also open up a huge range of exciting possibilities in constructing novel colloidal structures and their application in controllable devices, such as colloidal surfactant and micro-swimmer.
NOUVELLE ESTHÉTIQUE DE MARCELLA NARI

LA NOUVELLE ESTHÉTIQUE DE NARI MARCELLA EST UN CENTRE ESTHÉTIQUE HISTORIQUE DE LA VILLE DE LIGURE FINALE, AYANT DÉBUTÉ SON ACTIVITÉ LE 25/07/1997. LA SOCIÉTÉ EST DIRIGÉE PAR LE PROPRIÉTAIRE, SIG.RA NARI MARCELLA ET OFFRE TOUS LES SERVICES D’UN CENTRE DE BEAUTÉ, DU TRAITEMENT DU VISAGE AU CORPS, DU MASSAGE À LA MANUCURE, DE L’ÉPILATION À DIVERS TRAITEMENTS ANTI-CELLULITE ET RAFFERMISSANT. IL EST SOUTENU DANS LA GESTION ADMINISTRATIVE ET COMPTABLE DE L’ACTIVITÉ PAR CSA — CENTRE DE SERVICES CORPORATIFS. VEUILLEZ NOTER QUE LE COMPTABLE BANCAIRE À DOMICILE EST JOINT À LA RÉCEPTION DU PAIEMENT DE LA TAXE DE TIMBRE. LE REÇU SERA DISPONIBLE DANS 2-3 JOURS OUVRABLES.
Minimizing CO2 Formation in Ir-Catalyzed Methanol Carbonylation Process

Abstract Acetic acid is one of the most important petrochemical products. Carbonylation of methanol in homogenous phase is one of the major routes for production of acetic acid. Amongst group VIII metal catalysts used in this process iridium has displayed the best capabilities. To investigate effect of operating parameters like: temperature, pressure, methyl iodide, methyl acetate, iridium, ruthenium, and water concentrations on the carbon dioxide formation, experimental design for this system based upon central composite design (CCD) was utilized. Statistical carbon dioxide formation equation developed by this method contained individual, interactions and curvature effects of parameters on the carbon dioxide formation. The model with p-value less than 0.0001 and R 2 values greater than 0.9; confirmed a satisfactory fitness of the experimental and theoretical studies. In other words, the developed model and experimental data obtained passed all diagnostic tests establishing this model as a statistically significant.
Public attitudes toward the identification and reporting of alleged maltreatment cases among social groups in Israel

Abstract Objectives To identify what types of behaviors are defined as child maltreatment by the Israeli public, and which types of incidences are seen as justifying reporting to the authorities. The study examines to what extent these views are different among social groups in the Israeli society (e.g., Arabs and ultra-Orthodox). Methods A telephone survey was conducted among a representative sample of 812 adults in Israel, with an oversampling of additional 50 ultra-Orthodox Jews. A series of 12 scenarios was presented to respondents who indicated whether each of them was a case of maltreatment and whether it justified reporting to authorities. Results There was strong consensus among the participants that some scenarios indicate maltreatment. These scenarios related to all types of maltreatment and were associated with potentially severe harm. The tendency to justify reporting is weaker than the tendency to see them as cases of maltreatment. Further, there is a correspondence (although not a perfect one) between to what extent scenarios are judged as more indicative of maltreatment and the extent to which they are seen as justifying reporting. Both Arabs and ultra-Orthodox Jews tend to see more maltreatment than Jews in general and non ultra-Orthodox Jews in particular, except for using corporal punishment to “educate” an insolent child. No consistent differences were found between these groups in their justification for reporting. Conclusions There are indications that the underlying dimension which determines the identification of cases as maltreatment and justifies reporting is the severity of the potential harm to child, rather than the type of maltreatment (i.e., physical, sexual, neglect or emotional). The authors suggest that public campaigns should be tailored to address the different attitudes and perspectives of different social-cultural groups.
Geoscience keyphrase extraction algorithm using enhanced word embedding

Abstract A large amount of unstructured textual data about geoscience structures and minerals is buried in geoscience documents and is unused. Automatic keyphrase extraction provides opportunities to leverage this wealth of data for analysis and knowledge discovery. However, keyphrase extraction remains a complicated task, and the performance of state-of-the-art approaches is still low. Automatic discovery of high-quality and meaningful keyphrases requires the application of useful knowledge and suitable techniques. Seeing both challenges and opportunities in the situation described above, this paper proposes an ontology and enhanced word embedding-based (OEWE) methodology for automatic keyphrase extraction from geoscience documents. We first develop a quantitative analysis for keyphrase extraction evaluation based on conditional probability and the naive Bayesian model, which is valuable when human-annotated keyphrases are not available. The domain ontology is then performed on a multiway tree to enrich the domain-specific knowledge on certain concepts and relationships in a domain. Simultaneously, word2vec, a model of a word distribution using deep learning, is updated by applying the geological ontology, and it links domain background information and identifies infrequent but representative keyphrases. We use two homemade geoscience datasets to evaluate the performance of OEWE. We compare our method with frequency, term frequency-inverse document frequency (TF-IDF), TextRank and rapid automatic keyword extraction (RAKE), finding that our method achieves average F1 scores of 30.1% and 40.7% on two manually annotated datasets.
Pizza vending machine with innovative oven and refrigerated storage technology for improved performance and operations

Our company, Cierreci Srl, specializes in designing and manufacturing advanced vending machine solutions, incorporating the most innovative technologies to offer a variety of vending machine solutions. One of our core strategic areas of focus has been in the area of pizza vending machines. 

Pizza vending machines entered the market over 10 years ago in response to market demand for more hot food vending machine products. However, while existing technology can prepare a tasty pizza in few minutes, the viability of pizza vending machines has been limited because machine designs have so far not been aligned to buyers' critical selection criteria. 

Through a combination of innovative product designs and component optimizations, we have developed a solution that matches this market demand. The principle innovations behind ou​r new pizza vending machine, known as MARGHERITA, reduce the overall size and weight of the machine as well as lowering production costs through lean manufacturing techniques. We achieve a 30% reduction in the depth of the machine through component modularization and a significant energy efficiency (+90%) thanks to our control algorithms that optimize the heating and cooling processes. Our close contact and relationship with vending machine distributors indicates that these are the changes they have been waiting for over the past 10 years. 

Our new Margherita machine will create €12 million in revenues by 2023, with an estimated 1,000 separate units operating globally. Our innovation benefits a vast value chain of stakeholders, ranging from vending machine operators and distributors to pizza manufacturers to delivery and logistics companies. Our new machine will enable scalability of this novel technology, enabling end users to enjoy a fresh, hot pizza in a variety of locations and settings (e.g. hotels, hospitals, airports, car parks) at any time of day.