SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Technical and performance characteristics of anti-Müllerian hormone and antral follicle count as biomarkers of ovarian response

Stratified (individualized) medicine has been recognized as a key priority for policy makers and healthcare providers. The main principle of individualized care depends on utilizing patients' characteristics and biomarkers to predict prognosis, tailor intended treatment and predict treatment outcomes. In reproductive medicine a wide variety of biomarkers have been proposed as predictors of ovarian response; of these, anti-Müllerian hormone (AMH) and antral follicle count (AFC) are purported as exhibiting the most favourable analytical and performance characteristics. Previously AFC and AMH have been considered essentially interchangeable; however, recent trial data have questioned this postulation. The aim of this review is to present an analysis of the strengths and weaknesses of these biomarkers as predictors of ovarian response, using both physiological and technical perspectives.We have conducted a systematic search of the most recent (to May 2014) relevant literature and summarized the existing evidence. Articles written in a language other than English without an available English translation were excluded.Both AMH values and AFC can be influenced by comparable technical, physiological and exogenous factors. AMH displays some variation within and between cycles, consistent with its physiological role in follicle development, and there are growing data on the impact of pharmacological treatments and pathological conditions but cycle-independent measurement is appropriate for clinical purposes. A range of issues with manual AMH assays may be resolving with the development of fully automated assays. Despite described standardization of its measurement technique, AFC is subject to marked inter- and intra-operator variability and the effects of external influences are likely to be comparable. Outwith some highly specialist centres, the intracyclic variation in AFC requires its measurement between Day 2 and 4 of the cycle. Observational studies suggest comparable performance characteristics for AMH and AFC in predicting poor and high ovarian response, but recent RCTs suggest markedly better performance for AMH.The performance characteristics of both AMH and AFC for the prediction of ovarian response to exogenous gonadotrophins have been inflated by single site observational cohorts, resulting in the viewpoint that AMH and AFC exhibit equivalent performance characteristics. Large scale multicentre RCTs, with centralized assay performance, have demonstrated that AMH is substantially the more accurate and robust biomarker, probably reflecting difficulties with standardization of AFC determination. While AFC retains some advantages, particularly immediacy and accessibility, international standardization of AMH combined with a stable automated assay is likely to enhance its performance as the biomarker of choice in predicting the ovarian response in assisted conception.
COORDINATED REGIONAL LOGISTICS

CORELOG addresses the definition and operative testing of regional logistics policies and actions to be coordinated among institutional actors, responsible for policy making, financing and investment decisions, and actors related to the transport market (manufacturing companies, logistics providers, transport operators), whose supply-chain strategies and decisions strongly affect the spatial pattern and the modal split of the freight transport.CORELOG is articulated in three main phases:- As-is review and analysis phase, to understand the main drivers of supply chain management strategies of companies;- Definition of regional policy guidelines promoting logistics cooperation among private companies and coordinating different types of policies impacting on transports in regions (spatial planning, industrial, transport, logistic policies);- Implementation phase, addressing the effectiveness of the proposed policies by pilot test involving private companies, with a bottom-up approach.
Sample size determination through power simulation; practical lessons from a stepped wedge cluster randomised trial (SW CRT)

Results Assuming the statistical power needs to be 80% or higher, a total of 6400 simulations will estimate the power to a standard error of 0.5%, In the present study, a total of 24 clusters and 5 time periods were required to give a study power of approximately 85% assuming a type I error rate of 5% and a 20% [RR=1.20] increase in lung cancer diagnosis rates attributable to the intervention within 6 months. Hence, 6 clusters will receive the intervention per each time period in a delayed intervention fashion and all clusters will act as controls during the first time period. Study power was insensitive to distributional assumptions under consideration in this case. Conclusions The stepped wedge CRT design is robust, flexible, offers a more practical alternative in evaluating intervention in routine practice than other designs and provides an opportunity to model time trends. Despite this, its implementation in routine practice is being hampered by complex statistical issues including sample size estimation. However, we have demonstrated that sample size calculation through power simulation is a simple and efficient approach when the use of routine formulae is impossible. Moreover, it is straightforward to assess sensitivity to issues such as heterogeneity across clusters, including the impact of design constraints such as centre or learning effects. We propose simulation-based power calculations should be considered routine practice in such circumstances. Finally, using a computer is easier than finding a book with the right formula.
Experimental and computational models of neurite extension at a choice point in response to controlled diffusive gradients

Axons are guided toward desired targets through a series of choice points that they navigate by sensing cues in the cellular environment. A better understanding of how microenvironmental factors influence neurite growth during development can inform strategies to address nerve injury. Therefore, there is a need for biomimetic models to systematically investigate the influence of guidance cues at such choice points.We ran an adapted in silico biased turning axon growth model under the influence of nerve growth factor (NGF) and compared the results to corresponding in vitro experiments. We examined if growth simulations were predictive of neurite population behavior at a choice point. We used a biphasic micropatterned hydrogel system consisting of an outer cell restrictive mold that enclosed a bifurcated cell permissive region and placed a well near a bifurcating end to allow proteins to diffuse and form a gradient. Experimental diffusion profiles in these constructs were used to validate a diffusion computational model that utilized experimentally measured diffusion coefficients in hydrogels. The computational diffusion model was then used to establish defined soluble gradients within the permissive region of the hydrogels and maintain the profiles in physiological ranges for an extended period of time. Computational diffusion profiles informed the neurite growth model, which was compared with neurite growth experiments in the bifurcating hydrogel constructs.Results indicated that when applied to the constrained choice point geometry, the biased turning model predicted experimental behavior closely. Results for both simulated and in vitro neurite growth studies showed a significant chemoattractive response toward the bifurcated end containing an NGF gradient compared to the control, though some neurites were found in the end with no NGF gradient.The integrated model of neurite growth we describe will allow comparison of experimental studies against growth cone guidance computational models applied to axon pathfinding at choice points.
Design and Realization of a Flexible Overland Freight Monitoring System for Hazardous Chemicals Based on Multi -Network

Flexible Overland Freight Monitoring System for Hazardous Chemicals, with the functions of tracking and localized, is designed. Sensor network, which is the integration of sensor technology, embedded and wireless technology, is a novel technique about data acquiring and processing. Some technologies cooperated with diagnosis are included, such as sensor, data collection, signal analysis, data processing, database, and net transmission. To achieve the hazardous chemicals from the production, storage, transportation to the whole process of remote real-time tracking and monitoring，This system receives real-time GPS position data, and sends it to internet through GPRS net. And with the technique of GIS, it realizes managing and monitoring tankers at the watching center. The converter has interfaces of GSM protocol and can send the control information and data of the control center to any terminal in the GSM network. Likewise the remote data can be transmitted to the control center with the converter. Controlled by central control system, the system can operate automatically and continuously.
“The liability of newness” revisited: Theoretical restatement and empirical testing in emergent organizations

The mismatch between Stinchcombe's original propositions regarding "the liability of newness" and subsequent attempts to test those propositions suggests to us that the form and causes of the liability remain open to further investigation. Taking organizational emergence as a process comprising entrepreneurs engaging in actions that produce outcomes, we propose hypotheses about the social mechanisms of organizational construction involved in investing resources, developing routines, and maintaining boundaries. Distinguishing between initial founding conditions versus subsequent activities, our results not only confirm the liability of newness hypothesis, but also reveal a much higher risk of failure in organizations' early lifetime than rates found in previous research. Moreover, our results highlight the importance of entrepreneurs' continuing effort after their initial organizing attempts. Whereas only a few initial founding conditions lower the risk of failure, subsequent entrepreneurial activities play a major role in keeping the venture alive. Entrepreneurs contribute to whether a venture survives through raising more resources, enacting routines, and gaining increased public recognition of organizational boundaries. After controlling for financial performance, our results still hold. Based on our analysis, we offer suggestions for theory and research on organizations and entrepreneurship.
Wear Performance Evaluation of a Contemporary Dual Mobility Hip Bearing Using Multiple Hip Simulator Testing Conditions

The dual mobility hip bearing concept combines a small bearing with a large diameter bearing through a dual articulation system, potentially increasing the stability of the hip. Bearings with two articulations introduce concerns of whether or not wear might be increased compared to a conventional bearing. We therefore evaluated the wear performance of a dual mobility hip bearing using sequentially cross-linked and annealed polyethylene under the conditions of impingement, abrasion, and when the mobile liner becomes immobilized at either the inner or outer diameter. We found the wear performance of this dual mobility hip is dictated by the conditions experienced by the smaller inner articulation and by the polyethylene material. The highest wearing group wore 75% less than a single articulating conventional gamma/inert polyethylene bearing.
Artificial intelligence rna-seq

We propose a disruptive ICT concept strictly connected to SMEInst: Open Disruptive Innovation Scheme. In the field of genomics, sequencing technologies have drastically changed in the last few years and the output of complex data generated has outpaced the solutions available for analysis, integration and interpretation. RNA Sequencing has emerged as the number one technique in transcriptomics and thus the solution we propose is based on this. A.I.R.: Artificial Intelligence RNASeq is the first easy to use SaaS (Software as a Service) built with solid scientific methods. AIR is able to solve three important obstacles in the genomics field simultaneously: the informatics problem (specifically data storage, automatization of results and duration of analysis); the scientific problem (data interpretation and data integration, as well as providing new bioinformatic and statistical functions); the social problem (the lack of availability of skilled bioinformaticians). The overall objective of this project is to introduce a disruptive innovation that will allow researchers to perform transcriptomics data analysis easily, quickly and affordably. Given that AIR is already at TRL 7 of development, our specific objectives are to improve AIR’s current performance to take it to the final, gold TRL 9 stage and to carry out a feasibility study to launch AIR into the market. Economically speaking, we will assess if the investment required is sustainable compared to the expected market demand/ROI and quantify the upfront investment required to start a commercialization plan. We also need to evaluate the IP feasibility and assess the dissemination efforts required to successfully launch AIR into the market, and the organizational changes we must prepare for in order to sustain market demand. We are confident that AIR will change the paradigm of RNASeq data analysis. We also know that in order to achieve this quickly, we require a funding opportunity in line with the SMEInst budget.
Infarct-Induced Steroidogenic Acute Regulatory Protein: A Survival Role in Cardiac Fibroblasts

Steroidogenic acute regulatory protein (StAR) is indispensable for steroid hormone synthesis in the adrenal cortex and the gonadal tissues. This study reveals that StAR is also expressed at high levels in nonsteroidogenic cardiac fibroblasts confined to the left ventricle of mouse heart examined 3 days after permanent ligation of the left anterior descending coronary artery. Unlike StAR, CYP11A1 and 3β-hydroxysteroid dehydrogenase proteins were not observed in the postinfarction heart, suggesting an apparent lack of de novo cardiac steroidogenesis. Work with primary cultures of rat heart cells revealed that StAR is induced in fibroblasts responding to proapoptotic treatments with hydrogen peroxide or the kinase inhibitor staurosporine (STS). Such induction of StAR in culture was noted before spontaneous differentiation of the fibroblasts to myofibroblasts. STS induction of StAR in the cardiac fibroblasts conferred a marked resistance to apoptotic cell death. Consistent with that finding, down-regulation of StAR by RNA interference proportionally increased the number of STS-treated apoptotic cells. StAR down-regulation also resulted in a marked increase of BAX activation in the mitochondria, an event known to associate with the onset of apoptosis. Last, STS treatment of HeLa cells showed that apoptotic demise characterized by mitochondrial fission, cytochrome c release, and nuclear fragmentation is arrested in individual HeLa cells overexpressing StAR. Collectively, our in vivo and ex vivo evidence suggests that postinfarction expression of nonsteroidogenic StAR in cardiac fibroblasts has novel antiapoptotic activity, allowing myofibroblast precursor cells to survive the traumatized event, probably to differentiate and function in tissue repair at the infarction site.
Erosion control oscillating wave energy converter

Reducing the environmental impact of our economy has become an impelling necessity: climate change in fact is increasingly producing negative effects on the planet and our societies. In this frame, finding new renewable energy sources to reduce CO2 emissions and contrasting coastal erosion are among the most challenging issues, which are strictly interconnected by one element: wave power.
ECOWEC is the first onshore multiple-purpose wave energy converter. Its disruptive innovation is in the performance of multiple and customizable functions at once: the device harvests and converts wave power in multiple energy forms, while protecting shoreline from coastal erosion. Thanks to the innovative application of commercial technologies and its unique design, ECOWEC is a market-oriented device: main features are modularity, scalability and financial sustainability. 
ECOWEC is a suitable device to be installed in ports, marinas and in any other location provided with coastal artificial structures. Our targeted end-users are mainly port and marinas authorities: by installing our device, they can ensure themselves long-term cost savings in energy expenditure, while increasing the air quality of port areas and reducing their environmental impact. By intersepting different issues, our technology is a suitable solution to catch the huge market opportunity represented by Blue Growth.
Fazzini Meccanica boasts a solid engineering expertise, developed in over 20 years of activity. Every day we create innovation to deliver our clients tailor-made mechanical projects. Thanks to regular collaborations in the Offshore Oil & Gas Industry, we developed a good understanding of marine environment and offshore engineering. For this reason, Fazzini Meccanica is a suitable candidate to tackle the challenge of developing a market-oriented WEC: this project will boost the growth of our company, allowing us to double our profit over a period of 3 years.
Information services: competition and externalities

This application aims at fostering our knowledge of the economics of information services by studying the strategic interactions between agents involved in the production and exchange of information services. In this context, externalities play a key role explored by this proposal. Their increasing prevalence in information services can be traced to three features: 
- Many information services involve one-sided or two-sided  network externalities.
- Information is a public good and the production and exchange of information between two parties may affect other parties in a positive or negative manner.
- Information services and physical infrastructures are complements.
  Externalities arise in the two layers of the information society, the content level and the physical infrastructure. The proposal is then organized around four parts: 
1. Background theory: two-sided markets, network dynamics, contractual externalities
2. Virtual layer: recommendation systems, privacy, transaction costs
3. Physical layer: pricing , investment
4. Competition policy for two-sided markets

The first part consists of the development of relevant theory with original and novel methods including for instance global games, coordination games and recent contract theory.  The second part studies specific issues in information services such as the design of search engines and the right to privacy. It also includes empirical investigation of on-line transaction costs using proprietary data of transactions on e-commerce platforms. The third part is concerned with the infrastructure. It studies net-neutrality and the prices of data from the perspective of price theory, accounting for the gratuity of some services. It will also develop original dynamic investment models to understand the role of the complementarity between infrastructure and service innovation and the role of legacy. The last part will develop tools for competition policy makers.
Absolute spin dynamics in quantum materials

One of the greatest challenges in exploiting the electron spin for information processing is that it is not a conserved quantity like the electron charge. In addition, spin lifetimes are rather short and correspondingly coherence is quickly lost. This challenge culminates in the coherent manipulation and detection of information from a single spin. Except in a few special systems, so far, single spins cannot be manipulated coherently on the atomic scale, while spin coherence times can only be measured on spin ensembles. A new concept is needed for coherence measurements on arbitrary single spins. Here, the principal investigator (PI) will combine a novel time- and spin-resolved low-temperature scanning tunneling microscope (STM) with the concept of pulsed electron paramagnetic resonance. With this unique and innovative setup, he will be able to address long-standing problems, such as relaxation and coherence times of arbitrary single spin systems on the atomic scale as well as individual spin interactions with the immediate surroundings. Spin readout will be realized through the detection of the absolute spin polarization in the tunneling current by a superconducting tip based on the Meservey-Tedrow-Fulde effect, which the PI has recently demonstrated for the first time in STM. For the coherent excitation, a specially designed pulsed GHz light source will be implemented. The goal is to better understand the spin dynamics and coherence times of single spin systems as well as the spin interactions involved in the decay mechanisms. This will have direct impact on the feasibility of quantum spin information processing with single spin systems on different decoupling surfaces and their scalability at the atomic level. A successful demonstration will enhance the detection limit of spins by several orders of magnitude and fill important missing links in the understanding of spin dynamics and quantum computing with single spins.
Method and system for scribble based editing

A method and a non-transitory computer readable medium that stores instructions for: receiving a group of media entities; receiving a scribble; applying media editing commands on the group of the media entities to provide a media stream, wherein the media editing commands comprise at least one scribble-selected media editing command that is selected in response to the scribble.
Emergent complexity from strong interactions

The least understood part of the so successful Standard Model of the strong and electroweak forces
is the formation of strongly interacting composites, like hadrons, atomic nuclei and hypernuclei. In
addition, the nucleosynthesis in the Big Bang and in stars is fine-tuned at various places, which
immediately leads to the question how much these fine-tunings can be offset to still lead to an habitable
universe?
Over the last decade, the PI and his collaborators have further improved the chiral effective field
theory for two- and three-nucleon forces, have pioneered and refined the extension of this approach to
baryon-baryon interactions and, most importantly, have developed nuclear lattice effective field theory,
which enabled them to solve longstanding problems in nuclear physics, like the ab initio calculation of
the Hoyle state in 12C. Based on these achievements, this proposal will provide answers to: i) where
are the limits of nuclear stability? ii) what hypernuclei can exist, what are their properties and how is 
the equation of state of neutron matter modied by the presence of strange quarks? 
and iii) what limits on the fundamental parameters of the Standard Model are set by the fine-tunings in 
nucleosynthesis in the Big Bang and in stars?
Apart from answering these big science questions, the proposal will, as a by-product, develop methods
in effective field theories and Monte Carlo simulations that will be of use in other fields, such as cold
atom and condensed matter physics.