SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
An Empirical Framework for Breast Screening Bundled Payments

In an effort to curb health care costs and improve the quality of care, bundled payment models are becoming increasingly adopted, but to date, they have focused primarily on treatment episodes and primary care providers. To achieve current Medicare goals of transitioning fee-for-service payments to alternative payment models, however, a broader range of patient episodes and specialty physicians will need opportunities to participate. The authors explore breast cancer screening episodes as one such opportunity.The authors developed a bundled payment model for breast cancer screening and calibrated it using both a national sample of retrospective Medicare claims data and data from a private health system. The model includes alternative screening episode definitions, methods for calibrating prices, and an examination of risk and can serve as a general framework on which other cancer screening bundles could be crafted.The utilization of services associated with breast cancer screening and diagnosis is stable over time. The inclusion of high-risk patients in breast screening bundles did not cause substantial changes in estimated bundle prices. However, prices are sensitive to the choice of services included in the bundle.Breast cancer screening may provide a mechanism to expand the use of bundled payments in radiology and could serve as a framework for other episodic specialty bundles. Because screening bundles include costs for follow-up diagnostic imaging in addition to the initial screening mammographic examination, patient adherence to screening guidelines may improve, which may have profound effects on public health.
Gravity and kinematic space

The experienced researcher, Dr. Benjamin Mosk, wants to investigate a description of gravity in terms of non-local degrees of freedom. This approach is motivated by the AdS/CFT correspondence and the recent progress made by Dr. Mosk and his collaborators on the subject of kinematic space, the space of totally geodesic sub manifolds of Anti de Sitter (AdS) space. Dr. Mosk proposes to generalize the idea of kinematic space and the description of dynamical fields on this space to more general classical geometries, starting with the AdS-Schwarzschild geometry. The scientific objective of this project is to make progress towards a fundamental description of gravity at the non-classical level, which is arguably the largest open question in theoretical physics.

Dr. Mosk, who is currently conducting postdoctoral research at Stanford University, is applying for a Global Fellowship. During the outgoing phase, Dr. Mosk wants to go to UC Berkeley, where he will work with Professor Raphael Bousso. The return phase will take place at the University of Cambridge, where Professor David Tong is supporting his application. Both research groups have their specific specializations, which are complementary in the project and allow for a great degree of synergy and knowledge exchange between the partner organizations and the experienced researcher.

Special emphasis will be put onto developing Dr. Mosk’s international network and visibility, which are key factors towards Dr. Mosk’s long term career goals. The proposal elaborates on the appropriate training necessary to reach these career goals. A MSCA Individual Fellowship (Global) would support Dr. Mosk’s professional development optimally, by enabling him to work in the perfect environment and by facilitating for the appropriate training described in the proposal.
Navigation-Grade itar-free certifiable equipment for the navigation of air vehicle, based onfog technology

We are Civitanavi Systems, a high-tech European SME operating in the international marketplace, retaining cutting edge expertise in the emerging Fiber Optic Gyroscope (FOG) technology, applied to Inertial Reference Systems (standard avionic equipments) for civil avionic applications. 

NICENAV is our pivotal entrepreneurial project over the next decade, forecasted to position Civitanavi Systems among top 10 Navigation solution providers worldwide and top 3 in Europe. 

NICENAV project targets at introducing into the market the first worldwide Inertial Reference System based on FOG technology (NICENAV CFN-50GC) in place of existing obsolescent RLG-based solutions, free from the overwhelming compliance with ITAR imposed by the US government for both military and civil products. It also guarantees the best peak performances on the market with an extraordinary compact size.

A high performance IRS, not subject to ITAR compliance and based on FOG technology will certainly be a disruptive product in the segment of high-end navigation systems for business jets and single-aisle commercial airplanes, where Honeywell (US manufacturer) is dominating the market with a RLG-based and ITAR-compliant solution called LASEREF VI micro IRS. 

We have the key technology to replace obsolete American solutions: we have already started doing it, as proved by the new partnerships established with Piaggio Aerospace and Pilatus Aircrafts. 

The goal is to accelerate our entry-time in the market (16 months) to respond to the growing interest from clients (Pilatus Aircraft, Piaggio Aerospace). 

The achievement of TRL 9 is the natural target of NICENAV and SME Instrument is the best route to  reduce the time-to-market while maintaining the technological and market advantage over competitors.

Estimated impact: Civitanavi would reach a turnover (for only the NICENAV product line) of €19M after 5 years from the launch of the product.
Adriatic-Ionian Network of Authentic Villages

The territories involved in ADRIONET are filled with small authentic villages, often situated in remarkably beautiful locations, including fluvial basins, mountains, hills, rural peripheral or marginal areas, in certain cases at risk of depopulation and abandonment, due to spatial territorial development models characterized by intense urbanization and socio-economic polarization.

These villages represent an asset of primary social, cultural and environmental relevance, a deposit of local micro-histories and identities, productive knowhow, food traditions and so on, that should be more clearly and intensively involved in regional strategies and actions of preservation and valorisation, through models of sustainable settlement that enhance existing cultural and natural heritage (and related landscapes).

Main project change is to overcome current marginalization, fragmentation and under-valorisation of these territories by setting up a Transnational Network of “Authentic Villages”, aimed at promoting a preservation of natural and cultural assets by pursuing a development based on social, environmental and economical sustainability, with at the centre the quality of life and wellness of local populations, as pre-condition for a pervasive care of landscapes concerned as well as of attraction and satisfaction of visitors.

All this will be integrated in the innovative concept of “hospitable community”, in which a community itself takes over the role of engine of local development and of organizer, around its resources and values, of a diffused hospitality.

To achieve this, a Transnational Action Plan is designed as a roadmap and models for setting up “authentic villages” are defined.

Pilot Actions will test common solutions of territorial enhancement based on “authentic village” models.

Transnational cooperation will enable small scattered villages of the ADRION region to be networked and assume transnational visibility.
Compound climate extremes in north america and europe: from dynamics to predictability

Different climate extremes, such as heavy rains and strong winds, can interact and result in compound extremes with a larger socio-economic impact than the sum of their individual components. Elucidating the nature of these compound extremes is both a key step in furthering our scientific understanding of the climate system and a societally relevant goal. However, it is not easily realised, as the multivariate nature and inherent rarity of the compound extremes poses a formidable challenge to current analysis techniques.
In CENÆ I aim to provide a step-change in our understanding of the drivers and predictability of compound climate extremes, and illuminate how climate change may affect these two aspects. I will specifically focus on two high-impact compound extremes which have occurred with an ostensibly high frequency in recent years: (i) wintertime wet and windy extremes in Europe; and (ii) same as (i) but with the additional occurrence of (near-)simultaneous cold spells in North America.
CENÆ builds upon my ongoing contribution to developing dynamical systems analysis tools for climate extremes. It further leverages the work of my research group on the atmospheric circulation and machine learning for the study of atmospheric predictability. I will use this interdisciplinary knowledge base to elucidate the atmospheric precursors to compound extremes, provide a nuanced understanding of their predictability and point to new predictability pathways. The analysis framework I will develop in CENÆ will be highly flexible and applicable to multivariate extremes beyond climate science.
This effort is timely: the World Climate Research Programme has highlighted understanding current and future climate extremes as a grand challenge of climate science. Moreover, my unconventional research in dynamical systems and machine learning has opened up previously unforeseen opportunities for the study of compound climate extremes which should be rapidly and systematically exploited.
Ilocator - map, track and manage point-based-assets

The problem: OECD countries, on average, spend more than 2% of GDP on maintenance of road, rail, sewage, water, park, power, telecom, and harbour and airfield infrastructure. Specifically, sewage maintenance is an increasing cost for municipalities with the growing number of flash floods in Europe, which in turn puts enormous pressure on gullies to diverge water. It is expected that the occurrence of these events will continue to increase in the near future. Therefore, servicing and maintenance of this infrastructure will become even more important to prevent flooding. 

The market: Local authorities/municipalities are typically responsible for the service and maintenance of physical infrastructure such as roads, traffic signs, storm drains (gullies) and trees (i.e. assets). Municipalities across Europe spend a large part of the renovation budget on gully cleaning, given the number and high frequency of the maintenance service. Due to the sheer number of gullies within a single municipality, logistics are becoming increasingly difficult and cumbersome. 
Furthermore, there is currently no reliable/easy-to-use, commercially available systems for managing assets (gullies). 
Consequently, cleaning schedules and general upkeep of the gullies are inconsistent, inefficient and costly. 

The solution: iLocator is a lean early-stage born global company, pursuing a Software-as-a-Service (SaaS) business model. 
We have developed a unique platform and a range of tools to unlock a huge addressable global market, which is the effective management of gully cleaning. iLocator has clearly identified a significant potential for optimizing these maintenance processes with preliminary results indicating a reduction in maintenance and management expenses by 20%.
Rec-DCM-Eigen: Reconstructing a Less Parsimonious but More Accurate Tree in Shorter Time

Maximum parsimony (MP) methods aim to reconstruct the phylogeny of extant species by finding the most parsimonious evolutionary scenario using the species' genome data. MP methods are considered to be accurate, but they are also computationally expensive especially for a large number of species. Several disk-covering methods (DCMs), which decompose the input species to multiple overlapping subgroups (or disks), have been proposed to solve the problem in a divide-and-conquer way. We design a new DCM based on the spectral method and also develop the COGNAC (Comparing Orders of Genes using Novel Algorithms and high-performance Computers) software package. COGNAC uses the new DCM to reduce the phylogenetic tree search space and selects an output tree from the reduced search space based on the MP principle. We test the new DCM using gene order data and inversion distance. The new DCM not only reduces the number of candidate tree topologies but also excludes erroneous tree topologies which can be selected by original MP methods. Initial labeling of internal genomes affects the accuracy of MP methods using gene order data, and the new DCM enables more accurate initial labeling as well. COGNAC demonstrates superior accuracy as a consequence. We compare COGNAC with FastME and the combination of the state of the art DCM (Rec-I-DCM3) and GRAPPA. COGNAC clearly outperforms FastME in accuracy. COGNAC--using the new DCM--also reconstructs a much more accurate tree in significantly shorter time than GRAPPA with Rec-I-DCM3.
A RNS Montgomery multiplication architecture

A novel algorithm and VLSI architecture for Residue Number System (RNS) Montgomery modular multiplication are presented in this paper. An analysis of binary-to-RNS and RNS-to-binary conversions along with the proposed RNS Montgomery multiplication reveals common datapaths and a unified add/multiply architecture is derived that supports all aforementioned operations in the same hardware. The proposed algorithm is fully executed in RNS and the cost of the input/output conversions is compensated by the speed up of operations due to the inherent parallelism of RNS. If used repeatedly, the proposed architecture supports modular exponentiation and modular inversion as well, thus forming an end-to-end alternative for cryptographic implementations.
Detecting and removing faulty weft in a jet loom

An apparatus and its method of operation whereby when a jet loom is deenergized upon occurrence of abnormality in the insertion of a weft, the cutting operation of an inserted weft cutting device is prevented. As a result, a weft succeeding to the misinserted one is forcibly introduced into a weft introducing duct under blowing action of a blow nozzle oriented in a direction intersecting the weft insertion direction to be transferred to a pair of gripper rollers. The weft is separated by cutting from a weft inserting main nozzle by a second weft cutter device. Subsequently, the misinserted weft is withdrawn in the direction away from a cloth fell toward a reed with inclination relative to the weft insertion path within a region where the weft remains out of contact with warps.
A parallelized multidomain compact solver for incompressible turbulent flows in cylindrical geometries

We present an efficient parallelized multidomain algorithm for solving the 3D Navier-Stokes equations in cylindrical geometries. The numerical method is based on fourth-order compact schemes in the two non-homogeneous directions and Fourier series expansion in the azimuthal direction. The temporal scheme is a second-order semi-implicit projection scheme leading to the solution of five Helmholtz/Poisson equations. To handle the singularity appearing at the axis in cylindrical coordinates, while being able to have a thinner or conversely a coarser mesh in this zone, parity conditions are imposed at r = 0 for each flow variable and azimuthal Fourier mode. To simulate flows in irregularly shaped cylindrical geometries and benefit from a hybrid OpenMP/MPI parallelization, an accurate perfectly free-divergence multidomain method based on the influence matrix technique is proposed. First, the accuracy of the present solver is checked by comparison with analytical solutions and the scalability is then evaluated. Simulations using the present code are then compared to reliable experimental and numerical results of the literature showing good quantitative agreements in the cases of the axisymmetric and 3D unsteady vortex breakdowns in a cylinder and turbulent pipe flow. Finally to show the capability of the algorithm to deal with more complex flows relevant of turbomachineries, the turbulent flow inside a simplified stage of High-Pressure compressor is considered.
A Biologically Inspired Representation of the Intelligence of a University Campus

Abstract Intelligence or smartness in an urban environment implies several factors directed to improve quality of life and efficiency. It is important to note that in this context the inclusion of citizens and their devices is a key factor for reaching smartness. Data from mobile devices are increasingly used in everyday activities and have to be considered a useful means for handling and analyzing knowledge and communications. This paper shows how to represent important data when dealing with smartness by creating an analogy between the representation of human brain areas, activated when specific tasks are performed, and groups of students when behaviors or needs arise. The brain traffic concepts have been used for representing data and information exchanged in the University of Palermo campus.
EMBROIDERY HEAD FOR AN EMBROIDERY MACHINE

The invention relates to an embroidery head for an embroidery machine comprising a connecting rod (11), which is connected to an eccentric cam (8) by means of an anti-friction bearing (10), said cam being connected to a lever (13) by means of an additional anti-friction bearing (25). A rotational displacement of the eccentric cam (8) translates into the raising and lowering of the lever (13). According to the invention, the connecting rod (11) is configured as a formed sheet metal part, consisting of a base body (15), whose outer periphery is surrounded by a continuous, bent reinforcement border (16). This permits a connecting rod (11) with a low mass moment of inertia to be produced in a simple manner.
Degradation of Selected Pharmaceuticals in Coastal Wetland Water and Sediments

Ciprofloxacin, griseofulvin, and rifampicin are three human antibiotics that are also widely used in the shrimp culture of Cangio coastal wetland (Vietnam, 10° 24’ 38” N, 106° 57’ 17” E). They have been detected in shrimp larvae pond and receiving water bodies. However, the environmental fate of these antibiotics in coastal wetland milieu is currently unknown. The aim of this study was to determine the degradation potential of these antibiotics in water and sediments from Cangio coastal wetlands. The effects of light, microbial activities, and presence of sediments on the degradation of all three antibiotics were investigated in “water-only” and “water–sediment” experiments. Results indicate that the environmental fate of those antibiotics was quite complex. Photodegradation seemed to play a major role in “water-only” system, since shorter t
 1/2 was observed for ciprofloxacin, griseofulvin, and rifampicin, with light than in the dark, for both sterile and non-sterile conditions. Biodegradation played a minor role in the disappearance of the antibiotics and was overlaid by photodegradation. In addition, sorption to sediment was of major importance for antibiotics, especially for ciprofloxacin and rifampicin. The t
 1/2 of these antibiotics in aqueous phase of “water–sediment” system was higher than for “water-only” experiments, indicating that a part of antibiotics were adsorbed by sediment. The biodegradation did not play a major role on sediment sorption of CIP and RIF, since no statistically significant differences between non-sterile and sterile conditions were observed. Only for GRI, the impact of the biodegradation to the sediment sorption could be found and led to the weak affinity to sediment sorption of this antibiotic. All three antibiotics were more sensitive to photodegradation than to biodegradation; however, the degradation rate was low. In addition, the sorption by sediment occurred also with a slow rate, so these antibiotics could recalcitrant persist in the coastal wetland environment.
Conformational shift inducers (csi): an atomistic level investigation of aurora kinase a (aurka)–myc interaction and its distortion by csi compounds

In recent years, remarkable advances in cancer research and treatment have been made. Still, little progress is observed in the treatment of specific solid tumours, e.g. hepatocellular carcinoma. The oncoprotein MYC is frequently involved in the genesis and maintenance of human solid tumours and therefore represents a highly promising drug target. Unfortunately, as MYC does not withhold any potential binding cavities for druglike small-molecules, it has been long considered as an undruggable protein. Recently, however, a potential way to target this oncogene indirectly via Aurora kinase A (AurkA) was introduced. When bound to MYC, AurkA shields it from proteasomal degradation. Specific AurkA inhibitors that are conformational shift inducers (CSIs) prevent MYC binding to AurkA, finally leading to MYC’s proteasomal degradation. This type of inhibition holds a great promise for indirectly targeting MYC. However, the precise mechanism of AurkA–MYC binding is unknown and it is unclear what the most important characteristics of a CSI compound in preventing this protein–protein interaction are. These uncertainties are currently the limiting step in the compound design process and hinder the ongoing drug development. To this end, this research project aims to characterize and study the AurkA–MYC interaction and CSI compounds’ binding to AurkA by long-timescale all-atom molecular dynamics (MD) simulations. The main objectives of this research are to understand the AurkA–MYC interaction on the molecular level and to provide a mechanistic explanation of why the CSI compounds prevent the MYC binding. As a result, this research will guide the design and development of CSIs and thus may provide therapeutic possibilities for cancers with inadequate treatment options. Finally, this will establish a new way to utilize MD simulations in drug discovery and design that may be transferred to other potential drug targets in future.