SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Meta-analysis of hypercoagulability genetic polymorphisms in perthes disease

Perthes disease is an osteonecrosis of the femoral epiphysis with unclear etiology. This study aimed to systematically review the association between genetic determinants of hypercoagulability (Factor V Leiden, prothrombin II, and methylenetetrahydrofolate reductase; MTHFR) and Perthes disease. PubMed and Scopus searched from inception to January 2012, data extraction and quality assessment were performed. The odds ratio (OR) for the allele effect was pooled, and heterogeneity and publication bias were assessed. Twelve case-control studies met inclusion criteria and had sufficient data for extraction. There were 824 cases and 2,033 controls with a mean age range of 6.1-14.7 years. The prevalence of the minor allele in controls was 0.015 (95% confidence interval (CI): 0.008, 0.023), 0.012 (95% CI: 0.008, 0.017), and 0.105 (95% CI: 0.044, 0.167) for factor V Leiden, prothrombin II, and MTHFR, respectively. The factor V Leiden allele increased the risk of Perthes with a pooled OR of 3.10 (95% CI: 1.68, 5.72), while prothrombin II and MTHFR had non-significantly pooled OR 1.48 (95% CI: 0.71, 3.08), and 0.97 (95% CI: 0.72, 1.30), respectively. The factor V Leiden mutation is significantly related to Perthes disease, and its screening in at-risk children might be useful in the future.
A dynamic and self-organized artificial swarm intelligence solution for security and privacy threats in healthcare ict infrastructures

The increasing interconnection of technology in healthcare between devices at the physical and cyber levels has transformed these infrastructures into large Health Care Information Infrastructures. Such HCIIs are considered critical and sensitive infrastructures due to their importance for people’s well-being and safety. On the other hand, the evolving digital interconnectivity has also changed the threat landscape, producing a wide range of security and privacy challenges and increasing the danger of potential cybersecurity attacks. The integrated nature introduces new potential entry points for cybersecurity risks. Thus, there is an urgent, pressing need for the Health operators to protect their HCIIs. Efficient situational awareness, incident handling and risk assessment  is an important step to acquiring a thorough and common understanding of cyber-attack situations, and is necessary to timely reveal security events and data breaches occurring into HCIIs. Consequently, analysis of incident information is crucial in attempting to detect the presence of a threat, within HCIIs, that has already been detected in other interdependent systems within the same ecosystem.
AI4HEALTHSEC proposes a state of the art solution that improves the detection and analysis of cyber-attacks and threats on HCIIs, and increases the knowledge on the current cyber security and privacy risks. Additionally, AI4HEALTHSEC builds risk awareness, within the digital Healthcare ecosystem and among the involved Health operators, to enhance their insight into their Healthcare ICT infrastructures and provides them with capability to react in case of security and privacy breaches. Last but not least AI4HEALTHSEC fosters the exchange of reliable and trusted incident-related information, among ICT systems and entities composing the HCIIs without revealing sensitive corporate details
Simpla - sustainable integrated multi-sector planning

SIMPLA responds to topic EE 7 ‘Enhancing the capacity of public authorities to plan and implement sustainable energy policies and measures’ and its ultimate goal is empowering public authorities to develop, implement and finance sustainable energy policies and actions by creating the conditions for a smart integration between SEAPs (Sustainable Energy Action Plans) and SUMPs (Sustainable Urban Mobility Plans) - or similar plans - in cities, towns and their aggregations with a population between 50.000 and 350.000 inhabitants. 
SIMPLA’s work-plan focuses on the establishment of a network of National Focal Points (NFPs) in 6 countries (expanding to further 12 through replication actions) merging technical expertise, methodological know-how and institutional capacity of technical partners and public authorities. 
The NFPs realize an ambitious, innovative work-plan, encompassing  capacity building and coaching (on-site and via the web), enhancement of multi-level governance looking for synergies and economies of scale, extensive involvement of public authorities and stakeholders, promotion of mutual learning and best practices.
EU added value (involving countries and areas with different levels of tradition in integrated mutli-sector planning) and capitalization of previous EU-funded initiatives are among the project's guiding principles.
SIMPLA thus contributes to the EU’s energy and climate targets for 2020 and beyond, reducing GHG emissions, increasing the share from RES and improving energy efficiency, focusing upon sectors with high energy-saving potential (primarily  buildings, renewables for electricity production, urban freight transport and passengers’ mobility).
The intensive exploitation of existing networks to promote and support the implementation of project activities in the framework of a sound and comprehensive promotion and dissemination plan helps guarantee a consistent and significant impact on a wide, relevant and varied audience.
On the Front Lines of Coexistence: Courthézon's Consistory in the Early Seventeenth Century

This study focuses on how the consistory in Courthezon steered a course of coexistence as the minority in a biconfessional town while maintaining the church’s confessional integrity. By examining two sets of illuminating cases from 1617 to 1631, the study shows that the consistory embraced the ideal of peaceful coexistence articulated in the edict of 1607. One set of cases dealt with Catholic-Protestant encounters in the town; the other set dealt with internal cases of revolte and intermarriage. The consistory chose its battles with the Catholic majority with care. It was committed to a course of coexistence to the extent that the edict protected the Reformed community. At the same time, though acting with dogged determination to bend parishioners to their disciplinary will, the consistory’s elders almost certainly treated those who strayed from the Discipline with more patience and tact than they might have in a less hostile environment.
Turning bacteria into factories of biodegradable plastics

Plastics are littering our environment, contributing to health problems and it is urgent to find sustainable alternatives. Polyhydroxyalkanoates (PHAs) are natural (not synthetic) and non-toxic polyesters and can be derived from bacterial fermentation. However, the amount produced is low for the demand, costs for production are high and non-competitive when compared to plastics from crude oil. Therefore, it is urgent to overcome this limiting factor by increasing the production of biodegradable bioplastics. This proposal is promising and can impact our everyday life through innovative ways to increase production and versatility of bio-based degradable plastics. Herein, I propose to improve the production of different kinds of PHAs through two chassis: Sinorhizobium meliloti, and Pseudomonas putida, both recognized as safe (GRAS status) and able to grow in fermenters. First, I aim to use the gained knowledge during my PhD training in small RNA regulators (sRNAs) in S. meliloti, as well as the expertise of my host group in RNA-mediated regulation of gene expression and RNases, to improve the production of one kind of PHA in the first chassis. Second, I will implement transcriptome analysis of P. putida and generate synthetic sRNAs as an innovative vector for the control of key enzymes involved in PHA production in the second chassis. Finally, pilot fermentations and metabolic modulation strategies will upscale and upgrade the bioplastics accumulated in both organisms (collaborating with world experts in bioplastics: short-stay and secondment) and connect us to the non-academic sector. This multidisciplinary project will be broadly advertised to different audiences. I will acquire new knowledge, transferrable skills, training and collaborations. This will prompt my career to international levels in synthetic biology and domestication of microbes as bio-alternative for relevant industrial purposes. In the end, I will be prepared to become an independent scientist.
Analysis of Wide Area Monitoring System architectures

Wide Area Measurement System (WAMS) is technology to improve situational awareness and visibility within power system of today's and future grids. It uses real time synchro phasor data to measure the state of grid that enables improvement in stability and reliability of power grid. WAMS architecture plays an important role in these real time and data intensive systems. Proper selection of WAMS architecture helps immensely in achieving the benefits of WAMS technology namely increase in stability and reliability of grid. The factors like PMU data acquisition, decision making based on PMU data and the enactment of actions based on decision making determine the architecture details of WAMS. This paper discusses how different combinations of these factors lead to different realizable types of WAMS architectures. In addition, this paper also presents detailed comparison of all WAMS architectures to highlight the advantages and disadvantages of implementing each one of them based on WAMS features like WAMS data communication, data security, data storage, alarm/event management, system availability etc. The paper concludes with summarizing the architecture options and their possible use cases.
CYRENE AND TERNARY MIXTURES OF CYRENE FOR THE ENHANCED USE OF DISPERSION AND SOLVATION

There is described a nanocomposite material comprising a dispersed phase and a continuous phase wherein the continuous phase comprises CyreneTM.
Search for a Higgs boson decaying into a Z and a photon in pp collisions at <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.gif" overflow="scroll"><mml:msqrt><mml:mi>s</mml:mi></mml:msqrt><mml:mo>=</mml:mo><mml:mn>7</mml:mn><mml:mtext> and </mml:mtext><mml:mn>8</mml:mn><mml:mtext> </mml:mtext><mml:mtext>TeV</mml:mtext></mml:math>

A search for a Higgs boson decaying into a Z boson and a photon is described. The analysis is performed using proton-proton collision datasets recorded by the CMS detector at the LHC. Events were collected at center-of-mass energies of 7 TeV and 8 TeV, corresponding to integrated luminosities of 5.0 and 19.6 inverse femtobarns, respectively. The selected events are required to have opposite-sign electron or muon pairs. No excess above standard model predictions has been found in the 120-160 GeV mass range and the first limits on the Higgs boson production cross section times the H to Z gamma branching fraction at the LHC have been derived. The observed at 95% confidence level limits are between about 4 and 25 times the standard model cross section times the branching fraction. For a standard model Higgs boson mass of 125 GeV the expected limit at the 95% confidence level is 10 and the observed limit is 9.5. Models predicting the Higgs boson production cross section times the Higgs to Z gamma branching fraction to be larger than one order of magnitude of the standard model prediction are excluded for most of the 125-157 GeV mass range.
“Welcome on board”: Overall liking and just-about-right ratings of airplane meals in three different consumption contexts-laboratory, re-created airplane, and actual airplane

The main objective of this study was to evaluate the effect of contexts on overall liking and just-about-right (JAR) ratings of airplane meals. A rice dish (meal type A) and a pasta dish (meal type B) were assessed. Per meal type, two variants were produced (variant 1 and 2). Two hundred forty-two consumers were randomly allocated to evaluate one of the four meals, first in a laboratory setting and then in a re-created airplane environment. In addition, 222 passengers did the same assessments during an actual flight. Specific meals (A1, B1) were less liked in the laboratory than in the re-created airplane. In general, no differentiation in overall liking occurred per meal type between the two tested variants in the laboratory, whereas these two variants were significantly differentiated in liking in the re-created airplane and the actual airplane. Mean overall liking ratings in the re-created airplane did not significantly differ from the mean overall liking ratings in the actual airplane. The observed JAR ratings did not differ much between the re-created airplane and the actual airplane. In summary, the re-created airplane as a testing location produced more similar test results to the actual airplane than the traditional laboratory. Practical applications: Sensory consumer testing in re-created contexts may produce results with a higher external validity than laboratory testing and therefore offer a cost-efficient alternative to extensive sensory consumer testing in real-life contexts.
The approach of detecting LDoS attack based on correlative parameters

Low-rate Denial of Service (LDoS) attacks and TCP flows are be modeled in the time and frequency domain for the purpose of analyzing the signatures and extracting LDoS attack's period T and length L. A simulated LDoS attack signal is constructed based on the extracted parameters of T and L. The correlation between the signal of simulated LDoS attack and the hybrid signal (TCP flow plus LDoS attack) is calculated. To compare the correlation value with a detect threshold, which is determined through experiments. If the correlation value is exceeds the threshold, the LDoS attack is determined. The proposed method has been tested totally 1500 times in NS-2 environment and 200 times in real network environment with different parameters of T and L. Experimental results show that the false negative alarm rate P FN is less than 1.1%, the false positive alarm rate P FP are less than 0.8%, and the detect rate P D is more than 98%.
System and method of pen-based data input into a computing device

An improved system and method for pen-based handwritten and keystroke data input into a computer system is disclosed. The system and method receives pen-based data entry from multiple related input boxes within a handwriting area on a digitizer pad. Thread-based processing allows each input box or group of input boxes to be separately evaluated, providing for continuous character recognition. Character strokes entered into each input box or group of input boxes are saved and interpreted together to allow more complete recognition of naturally written characters. Improvements on keyboard layouts are also disclosed.
Effective, justifiable, necessary: the panel's assessment of Australia's tobacco plain packaging measures

A key challenge facing the World Trade Organisation (WTO) today is the rapidly eroding trust in the trade liberalising values it embodies. Among other criticisms, its rules have long been perceived as constraining the ability of national governments to intervene in economic practices to advance important societal goals, such as public health. Refuting this popular belief, Australia's successful defence of its tobacco plain packaging (TPP) measures in a recent WTO dispute stands as a welcome reaffirmation of the WTO's capacity to adequately balance trade obligations with members' right to regulate. This paper examines the Panel's findings in the TPP dispute in relation to two provisions of the WTO Agreements which reflect a balance between trade and non-trade values; Article 2.2 of the Agreement on Technical Barriers to Trade (TBT Agreement or TBT) and Article 20 of the Agreement on Trade-Related Aspects of Intellectual Property Rights (TRIPS Agreement or TRIPS).
A simple isochore model evidencing regulation risk

Abstract In this note, we provide a simple example of regulation risk . The idea is that, in certain situations, the very prudential rules (or, rather, some of them) imposed by the regulator in the framework of the Basel II/III Accords or Solvency II directive are themselves the source of a systemic risk. The instance of regulation risk that we bring to light in this work can be summarised as follows: wrongly assuming that prices evolve in a continuous fashion when they may in fact display large negative jumps, and trying to minimise Value at Risk (VaR) under a constraint of minimal volume of activity leads in effect to behaviours that will maximise VaR. Although much stylised, our analysis highlights some pitfalls of model-based regulation.
Specification of an intelligent simulation-based real time control architecture: Application to truck control system

The paper presents an implemented architecture of an intelligent simulation-based real-time control (SRTC) system for industrial applications. The proposed SRTC uses a trajectory tracking strategy inspired from the model-based predictive control approach. Dynamic control law based on the closed-loop feedback correction is embedded. A computer implementation of this control scheme and experiments are conducted for real-time truck dispatching on a surface mine transportation system. Results showed the capability of the SRTC to generate efficient real-time truck dispatching orders at each 120s. Simulation results demonstrate that managing trucks with such dynamic control law improves productivity. This improvement is reached when the transportation system is under steady as well as transient states conditions. The proposed SRTC makes use of the intelligent metaheuristic optimization search even under tight timeliness constraints.
Distributed Data Collection, Correlation and Data Reduction for Iterative Streaming Analytics in Wireless Mobile Networks

In this paper, we propose a policy-based, real-time packet analytics framework developed to evaluate 3G and 4G mobile communication technologies, and the associated signaling, tunneling, a user application protocols with the ultimate goal of providing context-enriched correlated information to streaming analytics platforms based on business needs. The framework allows user-defined dimensioning, telemetry generation and Key Performance Indicators (KPI) calculations with a focus on real-time network event measurements on the order of milliseconds to seconds. Unlike traditional streaming analytics platforms which rely on raw data logs and call detail records (CDRs), our framework allows augmenting data streams, such as binding TCP, HTTP, or application-level transactions with pre-correlated network state, subscriber patterns, location changes, service indicators, and computed KPIs, for continuous export into business intelligence architectures. By way of example, we present in detail, a closed-loop network optimization use case constituting a stream of KPIs including cell utilization indicators, subscriber mobility behavior, and application usage patterns towards a Business Intelligence (BI) policy enforcement point. This facilitates real-time actions such as congestion mitigation, and QoE management across heterogeneous networks and application behaviors.
Energy Emissions from Critical Phenomena and Applications to Structural Health Monitoring

The dissertation is focused on the research of critical phenomena in different size-scaled structures, from earth-scale, macro-scale to micro-scale. By analyzing the energy emission from their critical processes, some useful information or suggestion is extracted and to be provided in structural health monitoring (SHM). Three different forms of energies, acoustic emission (AE), electromagnetic emission (EM) and neutron emission (NE), are selected to be studied in our research. AE is the result of a sudden spontaneous strain energy release within a solid body due to the formation of cracks, which has been studied by many researchers in the past decades and is more developed compared with EM and NE studies. Further and advanced researches are fulfilled based on the qualitative analysis and quantitative analysis in AE study. Two contributions are especially mentioned here. On one hand, an improve approach, based on Akaike Information Criterion (AIC), is proposed to provide more reliable onset determination of AE signals. The introduced parameters, quantification of certainty degree and the apparent velocity in the improved-AIC method can help to eliminate the false or doubtful picked onset results automatically. On the other hand, to determine the active crack region plays a key role in AE monitoring analysis because it identifies the position of fractures in the damaged materials. The classical crack localization method works well in the steel and concrete materials due to their homogeneous or semi-homogeneous properties, but not in the masonry structures. A modified localization system based on the classical one is initiated in this context to offer a better crack localization results in masonry structures. AE monitoring technique is similar to the one employed in earthquake control. Damage in structural materials and earthquakes in geophysics, although they take place on very different scales, are very similar in many aspects. In this context, three particular aspects, b-value of the magnitude-frequency distribution, Yule statistics analysis and unified scaling law for recurrence-time are analyzed on both AE and earthquake. Among the researches, the robust method to estimate the b-value of magnitude-frequency distribution in earthquakes, the application of Yule statistics in earthquake prediction are both the first time to be mentioned in their research areas. EM can be observed in both natural and laboratorial conditions. In this context, models for occurrence mechanism of EM is summarized and analyzed theoretically. Experimental tests are operated to study the EM in laboratory and it is very interesting to note that the EM is generally observed only in correspondence to the sharp stress drops in the load versus time diagrams. As for NE, it is the first time for the research group of Prof. Carpinteri to talk about piezonuclear neutron emissions from very brittle failure of rock specimens in compression test. Comprehensive and detailed information about NE are provided to depict the important discovery in this context