SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
CULTURALE_CREATIVA_2019 - LA FILIERA PRODUTTIVA TURISTICA, CULTURALE E CREATIVA PER LA FRUIZIONE DEI BENI DEL PATRIMONIO CULTURALE E NATURALE DELLA REGIONE BASILICATA

CON IL PRESENTE PROGRAMMA DI INVESTIMENTO, LA PROPONENTE INTENDE ACQUISIRE LE CONSULENZE NECESSARIE PER LA CREAZIONE DI UN EVENTO ANNUALE DA REALIZZARE NEL PARTICOLARE SCENARIO DELLA CITT DI MATERA. NELLO SPECIFICO, L IMPRESA INTENDE REALIZZARE UN PRESENTE VIVENTE ALL INTERNO DELL AREA DEI SASSI, CHE SI SVILUPPER ALL INTERNO DI ANTICHE GROTTE E CISTERNE, COINVOLGENDO NUMEROSE COMPARSE. L EVENTO SAR A PAGAMENTO, IN QUANTO L IDEAZIONE E LA SELEZIONE DELLE SCENE, DEI COSTUMI E DELLE AMBIENTAZIONI RICHIEDE UN IMPORTANTE INVESTIMENTO INIZIALE IN CONSULENZE A CI FINALIZZATE, OLTRE PROMOZIONE DELL EVENTO E REALIZZAZIONE DI UN PORTALE WEB. PERTANTO, IL PROGRAMMA DI INVESTIMENTO CANDIDATO AD AGEVOLAZIONE PREVEDE, TRA LE ALTRE COSE, IL SOSTENIMENTO DELLE SPESE SOPRA INDICATE
Ai situational awareness foundation for advancing automation

This proposal addresses the topic “Digitalisation and Automation principles for ATM”. Automation is one of the most promising solutions for the capacity problem, however, to implement advanced automation concepts it is required that the AI and human are able to share the situational awareness. Exploring the effect of, and opportunities for, distributed human-machine situational awareness in en-route ATC operations is one of the main objectives of this project. Instead of automating isolated individual tasks, such as conflict detection or coordination, we propose building a foundation for automation by developing an intelligent situationally-aware system. Sharing the same team situational awareness among ATCO team members and AI will enable the automated system to reach the same conclusions as ATCOs when confronted with the same problem and to be able to explain the reasoning behind those conclusions. The challenges of transparency and generalization will be solved by combining machine learning with reasoning engine (including domain-specific knowledge graphs) in a way that emphasizes their advantages. Machine learning will be used for prediction, estimation and filtering at the level of individual probabilistic events, an area where it has so far shown great prowess, whereas reasoning engine will be used to represent knowledge and draw conclusions based on all the available data and explain the reasoning behind those conclusions.  We will explore to what extent it is possible to deduce machine learning false estimates and how resilient such system is to failure. In this way, the artificial situational awareness system will be the enabler of future advanced automation based on machine learning.
Opportunities and Challenges of Digital Signal Processing in Deeply Technology-Scaled Transceivers

The ever improving cost advantages and processing capabilities of the technology have been happening according to the so-called Moore’s Law. Although digital circuits can significantly benefit from the aggressive scaling, it is very controversial for analog circuit. However, analog circuit still has to follow the scaling trend because a single chip integration offers key commercial advantages. To optimally achieve the best performance/power/cost tradeoff with deeply scaled technology nodes, there is a clear trend and paradigm shift towards digital intensive and digitally assisted transceivers. Successes of such transceivers have been proven for individual transceiver components and narrow band systems. When targeting emerging communication standards, higher carrier frequencies, further technology scaling and reconfigurable radios, required signal processing design and implementation are orders of magnitudes more challenging but potential gains are promising. Based on a variety of transceiver designs implementing emerging architectures for different sub-6 GHz and 60 GHz communication systems, we will highlight the key challenges and opportunities experienced using 40 nm and 28 nm technology nodes.
Study of Automatic Test System of Surface Flatness in No-Till Field Based on the PLC Technology

In this paper, automatic test system of surface flatness was designed according to the characteristics of the no-till field by combining the PLC (Programmable Logic Controller), laser sensor and stepping motor automatic control technologies. Monitor and Control Generated System (MCGS) configuration software was used to form the interaction interface. Real-time data report and the trend line could be created by accessing PC machine to this system, and then the surface roughness detection was realized automatically. Compared with the traditional test methods, results of the automatic test system showed that the measured value is accordance with the artificial measured value, and the correlation coefficient between them was above 0.95; and the detection efficiency had been improved by 2.3 times. These results proved the effectiveness of the automatic test system in detecting the surface flatness of the no-till field.
Commercialising cardiac autonomic modulation to treat atrial fibrillation

Atrial Fibrillation (AFib) is a debilitating and life-threatening condition with a high and increasing prevalence worldwide. However current treatments have low success rates and have significant risks and complications. Moreover, the most widely used treatment – cardiac ablation - still has limited adoption with the majority of patients hesitant to be treated knowing the potential for poor outcomes and complications. In addition, current treatments have even lower success rates and higher complications in women.

AtriAN Medical is bringing a revolutionary treatment to market that is the first to specifically target the origin of the signal that causes AFib, thus eliminating the arrhythmia and disease progression. In addition to increased success rates, the AtriAN technology will reduce the risk of complications and the procedure will be done in a fraction of the time needed for current treatments; approximately 2 hours compared to 6-8 hours. The treatment will work equally well in women and men.
	
AtriAN conservatively estimates that it will have turnovers of €85M per annum within one year of regulatory approvals. AtriAN has a senior management team in place with significant medical device industry experience in technology development, manufacturing and scale up from start-up to multinational size.

AtriAN needs to perform a clinical trial in order to gain CE-marking to allow sales in Europe. AtriAN is planning for CE approvals by 2022 and FDA approval by 2026. 

The proposed Neuron AFib project will first finalise the device testing and validation needed in order to meet regulatory requirements and will then perform the clinical trial, with equal female and male enrolment, in order to demonstrate safety and efficacy of the treatment. AtriAN has already raised €3.8 million of funds needed to close out research activities but needs another €2.4 million to execute on the testing, validation and clinical trial needed to reach CE approval and commercial launch.
Recent advances on Ilex paraguariensis research: Minireview

Ilex paraguariensis dried and minced leaves are made into a brewed tea, prepared in a sui generis manner by large populations in South America, having evolved from a tea drunk by the Guarani ethnic group to a beverage that has a social and almost ritualistic role in some South American modern societies. It is used both as a source of caffeine, in lieu or in parallel with tea and coffee, but also as a therapeutic agent for its alleged pharmacological properties. Although with some exceptions, research on biomedical properties of this herb has had a late start and strongly lags behind the impressive amount of literature on green tea and coffee. However, in the past 15 years, there was a several-fold increase in the literature studying Ilex paraguariensis properties showing effects such as antioxidant properties in chemical models and ex vivo lipoprotein studies, vaso-dilating and lipid reduction properties, antimutagenic effects, controversial association with oropharyngeal cancer, anti-glycation effects and weight reduction properties. Lately, promising results from human intervention studies have surfaced and the literature offers several developments on this area. The aim of this review is to provide a concise summary of the research published in the past three years, with an emphasis on translational studies, inflammation and lipid metabolism. Ilex paraguariensis reduces LDL-cholesterol levels in humans with Ilex paraguariensis dyslipoproteinemia and the effect is synergic with that of statins. Plasma antioxidant capacity as well as expression of antioxidant enzymes is positively modulated by intervention with Ilex paraguariensis in human cohorts. A review on the evidence implicating Ilex paraguariensis heavy consumption with some neoplasias show data that are inconclusive but indicate that contamination with alkylating agents during the drying process of the leaves should be avoided. On the other hand, several new studies confirm the antimutagenic effects of Ilex paraguariensis in different models, from DNA double breaks in cell culture models to mice studies. Novel interesting work has emerged showing significant effect on weight reduction both in mice and in rat models. Some mechanisms involved are inhibition of pancreatic lipase, activation of AMPK and uncoupling of electron transport. Intervention studies in animals have provided strong evidence of anti-inflammatory effects of Ilex paraguariensis, notably protecting cigarette-induced lung inflammation acting on macrophage migration and inactivating matrix-metalloproteinase. Research on the effects of Ilex paraguariensis in health and disease has confirmed its antioxidant, anti-inflammatory, antimutagenic and lipid-lowering activities. Although we are still waiting for the double-blind, randomized prospective clinical trial, the evidence seems to provide support for beneficial effects of mate drinking on chronic diseases with inflammatory component and lipid metabolism disorders.
Predictability of vegetation cycles over the semi-arid region of Gourma (Mali) from forecasts of AVHRR-NDVI signals

The NOAA-AVHRR Normalised Difference Vegetation Index (NDVI) dataset is used to investigate the predictability of the vegetation cycle in an area centred on the Gourma region in Sahelian Mali at scales varying from 8 km(2) to 1024 km(2) over a period spanning from 1982 to 2004. The predictability of the vegetation cycle is analysed with a model based on a reconstruction approach that fully relies on the dataset. Two parameters deduced from the growth of the forecast error are considered: the horizon of effective predictability, H-E, which is the horizon at which a satisfying prediction can be effectively forecasted at a given level of error, and the level of noise. Predictability is therefore analysed with regard to the horizon of prediction and the spatial scale; the influence of the model's dimensions is also discussed. The analysis clearly indicates that the signal predictability increases, and the level of noise decreases with an expanding area. However, even though the signal is more regular, its complexity increases within the narrowing entangled trajectory, setting the level of error of any prediction at a minimum of 15%, which matches the level of noise characteristic of the AVHRR-NDVI data series. The forecasting error quickly increases with the horizon of prediction, setting the optimum horizon of predictability in the range of 2 to 4 decades, with high intra-annual variability. At the short horizon of 1 decade, a resolution of 16 km(2) is reasonable to achieve an accuracy of approximately 20%. At the longer horizon of 3 decades, only low resolutions (256 km(2) or lower) give an accuracy equal to or better than 35%.
INTELLIGENT LIGHTING SYSTEM

An intelligent lighting system provides synchronization for lighting units having light emitting diodes within a flexible, light transmissive structure in connection with receiving lighting commands from a remote DMX controller. The system includes lighting units, a microcontroller and a receiver for wirelessly receiving the commands from the DMX controller. A process is implemented to achieve lighting unit execution synchronization as a result of calculating more accurate delay times, by an iterative method, in connection with executing DMX commands.
Purchase of equipment for the production of large full tyres

A set of production machines will be acquired, consisting of the following technologies:- special presses, – tire-filling equipment,- rubber vulcanisation machines,- workshop equipment needed to handle large tyres. a.
45 Electrochemical investigation of the interaction between G-quadruplex and some ligands using MWCNT modified carbon paste electrode

The G-quadruplex is an unusual DNA secondary structure based on the Hoogesteen G–G base pairing, which stabilizes in the presence of certain metal cations, mainly alkali ions such as K+ (Elahi, Bathaie, Mousavi, Hoshyar, & Ghasemi, 2012). In continuation of our previous studies on the interaction between DNA and small molecules (Ghanbari, Bathaie, Mousavi, 2008; Heli, Bathaie, & Mousavi, 2004), more recently, interaction of G-DNA with polyamines and ethidium bromide was studied (Elahi et al., 2012). In the present study, we investigated the interaction of carotenoids (crocin and crocetin) and monoterpene aldehydes (safranal) of saffron with G-DNA. The MWCNT was ultrasonically treated in 35% solution of nitric acid for 6 h to be functionalized with carboxylic acid groups. The carbon paste electrode was prepared by mixing graphite powder with paraffin at the ratio 65:35. The resulting paste was packed into Teflon tube. The outer layer of the electrode was made of carbon paste modified by the addition of mod...
GOvernance for Achieving Local Strategies for tourism

Project in brief _x000D_
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According to ARLEM report on sustainable tourism*, the Mediterranean region is the world’s eading tourist destination, although there are considerable disparities within it. It receives 30% of tourist arrivals and 25% of the total income from global tourism, with 80% of the visiting tourists coming from Europe. Whilst tourism plays a key role in the region’s economic development and integration into the process of globalisation, it also puts considerable pressure on natural resources and the environment. In order to combine competitiveness and sustainability in tourism development, GOALS project aims to implement a shared strategy for the integration of the “Total Quality Management”_x000D_
model in the tourism industry and its application to the creation of new touristic itineraries and packages. _x000D_
_x000D_
Specific objectives _x000D_
_x000D_
• To experiment innovative structures of tourism planning/management based on broad institutional/socio-economic cooperation _x000D_
• To foster the application of “Total Quality Management” systems and schemes for sustainable tourism development in target areas
Design and Application of Modular Greening in Vertical Space——A Case Study of the Plant Wall at the Theme Pavilion of Shanghai Expo

The paper presents the construction model and characteristics of modular greening in urban vertical space. As a complex integrating plants, containers, medium and irrigation facilities, greening modular is the basic unit of the movable greening, and can be used or pieced together to form an instant landscape. The plant technology of greening modular, involving a complete set of innovative technologies for urban greening, will promote seedling industry and landscape architecture to grow respectively into a high-tech greening industry and an integrated multidisciplinary profession. With special references to the design of the plant wall at the Theme Pavilion of Shanghai Expo 2010, this paper highlights the key points and related fundamental study in modular greening, offering the actual measurement data in the process of maintenance and analyzing the experience for the plant wall at Shanghai Expo. Moreover, the application prospect of modular greening is discussed in the end.
Study on drought prediction technology of winter wheat in Hebei province

Based on the drought monitoring model of winter wheat in Hebei province,the drought prediction model was established to predict the soil relative moisture index,crop water deficit anomaly index and precipitation anomaly index for the next 10 days.With the meteorological and soil moisture data at the eight stations in Tangshan,Zhuozhou,Dingzhou,Huanghua,Shenxian,Luancheng,Nancheng and Feixiang in Hebei province in 2001 and from 1981 to 2010,and based on the soil water balance principle,the predicted soil relative moisture in 0～50 cm and 0～20 cm depth and the simulated results of drought prediction model of winter wheat were tested.The results showed that,as for the soil relative moisture in 0～50 cm depth,the cases with the relative error lower than 10% was 73% of the total,the cases with the relative error within 10%～15% was 12% of the total,and the cases with relative error higher than 15% was 15% of the total.As for the soil relative moisture in 0～20 cm depth,the cases with the relative error lower than 10% was 68.4% of the total,the cases with the relative error within 10%～15% was 13.7% of the total,and the cases with relative error higher than 15% was 17.9% of the total.The general accuracy of drought prediction model was 77.8%.If the prediction was thought to be correct when the difference between predicted results and monitored results was within a drought level,these two kinds of results were wholly identical with each other. The drought prediction model could meet the needs of business application,but the prediction accuracy was dependent on the accuracy of precipitation forecast.
Dramatic Reduction of IR Vibrational Cross Sections of Molecules Encapsulated in Carbon Nanotubes

Combined temperature-programmed desorption and IR studies suggest that absorption cross sections of IR-active vibrations of molecules "strongly" bound to single-wall carbon nanotubes (SWCNTs) are reduced at least by a factor of 10. Quantum chemical simulations show that IR intensities of endohedrally encapsulated molecules are dramatically reduced, and identify dielectric screening by highly polarizable SWCNT sidewalls as the origin of such "screening". The observed intensity reduction originates from a sizable cancellation of adsorbate dipole moments by mirror charges dynamically induced on the nanotube sidewalls. For exohedrally adsorbed molecules, the dielectric screening is found to be orientation-dependent with a smaller magnitude for adsorption in groove and interstitial sites. The presented results clearly demonstrate and quantify the screening effect of SWCNTs and unequivocally show that IR spectroscopy cannot be applied in a straightforward manner to the study of peapod systems.
Photonic quantum network with an ultrafast frequency comb

Over the last decades, application of photonic technologies to quantum information science has been very successful, which establishes light as a promising quantum system to carry quantum information. The next stage for advancing photonic technology along with quantum information science is to scale-up the capacity of a quantum system to encode quantum information. In this action, we will develop photonic quantum network, which consists of highly correlated large-scale quantum network involving both aspects of non-classical light: squeezed light and single photon, for scalable quantum information processing. By exploiting the intrinsic multimode structure of an ultrafast frequency comb, a quantum network supporting multiple quantum systems will be generated, and quantum correlations in the network will be optimized to readily conduct a given quantum information task. To benefit from genuine speedup of quantum information processing, single-photon control will be incorporated: single-photon subtraction and single-photon addition is applied on the quantum network. Importantly, the single photon control will be engineered to affect only specific modes of interest out of multiple frequency modes in the quantum network. The resultant light field becomes PhotonIc QUAtum NeTwork with an ultrafast frequency comb (PIQUANT), and its distinctive features will be characterized and exploited for quantum computing.
A survey on the requirements of applying the framework of inflation targeting in Irans economy

Harmful impacts of high chronic inflation on economy have always required the governors and monetary officials of countries to eliminate the problem and its negative economic consequences. Different methods and monetary systems have been applied to serve the purpose, namely various kinds of exchange rate targeting and monetary variables improvement rate targeting. Studies have shown that in order for achieving success in executing the framework of inflation targeting, there are prerequisites, satisfying which creates the possibility for the framework to be carried out successfully. The main aim of this article is to find the prerequisites for the successful execution of inflation targeting framework, and study the possibility of the execution of the method in Iran. Using the Agenor and Hoffmaister (1997) model and auto regressive distributed lag (ARDL) method, and with annual data of Iran for the years of 1970-2009, two more restrictions on the way of executing inflation targeting framework in Iran are studied.

	 

	Key words: Inflation targeting, ARDL, Iran, prerequisite.
Nanomechanical intervention of bacterial mechanotransduction

Mechanical force is a ubiquitous perturbation that operates at all levels of life, from single molecules to organs. At the tissue level, cells are constantly exposed to forces exerted by their surrounding environment—body fluids, neighboring cells, or the extracellular matrix. The process by which cells sense and convert physical stimuli into a biochemical signal is known as mechanotransduction. When mechanical forces reach the nucleus, they can activate several force-induced transcriptional pathways that control cell functionality. The failure of these pathways has been linked to several human pathologies, such as cancer. While most of our knowledge in mechanobiology is focused on mammalian cells, comparatively little is known on how prokaryotes detect, interpret, and generate a response to physical inputs. Understanding how bacteria sense mechanical forces and how these signals are integrated to promote colonization, biofilm formation, or virulence development is crucial to develop therapeutic strategies that target the pathogenesis onset. Here we propose a cross-scale approach that first employs single-molecule force spectroscopy techniques to study in vitro the dynamics under force of PilY1 —from the Gram-negative opportunistic pathogen Pseudomonas aeruginosa— and how antibody binding affects its mechanical stability. Our goal is to implement a molecular-based strategy that disrupts the PilY-triggered mechanotransduction pathway, which we will probe at the cellular level. Using a combination of optical microscopy and single-cell mechanical techniques, we will monitor in vivo the downstream events that lead to the expression of genes that promote virulence after PilY1 mechanical stimulation in the absence and presence of antibodies that disrupt the activity of this protein.