SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Natural Language Querying over Databases Using Cascaded CRFs

AbstractRetrieving information from relational databases using a natural language query is a challenging task. Usually, the natural language query is transformed into its approximate SQL or formal languages. However, this requires knowledge about database structures, semantic relationships, natural language constructs and also handling ambiguities due to overlapping column names and column values. We present a machine learning based natural language search system to query databases without any knowledge of Structure Query Language (SQL) for underlying database. The proposed system - Cascaded Conditional Random Field is an extension to Conditional Random Fields, an undirected graph model. Unlike traditional Conditional Random Field models, we offer efficient labelling schemes to realize enhanced quality of search results. The system uses text indexing techniques as well as database constraint relationships to identify hidden semantic relationships present in the data. The presented system is implemented and evaluated on two real-life datasets.
The king cobra genome reveals dynamic gene evolution and adaptation in the snake venom system

Significance Snake venoms are toxic protein cocktails used for prey capture. To investigate the evolution of these complex biological weapon systems, we sequenced the genome of a venomous snake, the king cobra, and assessed the composition of venom gland expressed genes, small RNAs, and secreted venom proteins. We show that regulatory components of the venom secretory system may have evolved from a pancreatic origin and that venom toxin genes were co-opted by distinct genomic mechanisms. After co-option, toxin genes important for prey capture have massively expanded by gene duplication and evolved under positive selection, resulting in protein neofunctionalization. This diverse and dramatic venom-related genomic response seemingly occurs in response to a coevolutionary arms race between venomous snakes and their prey.
Developing an Alpine Space Research, Development and Innovation Area by lowering barriers for cross-regional cooperation

Alpine Space (AS) Smart Specialisation Strategies (S3) were adopted to strengthen innovation and competitiveness by transforming economic structures through the identification of local excellence and by the development of new combinations of existing capacities. Recent experience gained in the Interreg-project S3-4AlpClusters shows that multi-national governance structures for focused cooperation in S3-implementation are critically missing. There is a persistent funding gap for AS cross-regional research, development and innovation (RDI) projects targeting S3 opportunities of particular relevance and including actors of new value chains (VC), from research to market. AS regions must inter-link their local assets and individual excellent capacities to address grand challenges in future European RDI. Dynamic areas with significant impact are related to megatrends in circular-bioeconomy and health-economy (CBH) that will tremendously impact the way of our status-quo economy. These fields are of high importance for strategic priorities under EUSALP. To tap into these synergies and unearth opportunities for innovation, cross-regional and cross-sectoral cooperation is imperative. ARDIA-Net overcomes this challenge by developing an Alpine RDI Area (ARDIA) for tailor-made S3 cooperation across regions by developing a funding framework and projects for addressing CBH megatrends across the AS. It draws on a partnership involved in policy deployment. ARDIA introduces an effective, framework for future cross-regional and interdisciplinary RDI projects enhancing VC inter-connection, investments, commercialisation, realise ESIF-H2020 synergies and ultimately upscaling AS efforts. It is thus a valuable contribution towards mission-oriented RDI in post 2020 policy frameworks. The project empowers governance for fostering S3 cooperation (eg synergies within S3: digitization, health, materials, food) for business support organisation, Academia and SME.
PIPE FITTING ASSEMBLY

A swaged pipe fitting (13) has a tail (15) extending from a shoulder (31) of the fitting. The tail (15) having a plurality of sealing ribs (21) to engage with a pipe (not shown) as it is pushed over the tail and below a swageable collar (not shown in Figure 1) attached to the fitting (13), and a threaded indication system (37) to help the installer feel for a positive engagement and to hold the pipe securely on the fitting until the collar is swaged over the end of the pipe. The threaded indication system (37) has one or more external asymmetric threads (37) situated between the sealing ribs (21) of the fitting and a shoulder (31) of the fitting, and engagement with the threads (37) can be felt in a plurality of ways to help the installer to make secure joints with greater consistency.
Deterministic molecular n-photon source (demons)

Single-photon sources are quantum light sources that, when triggered, emit deterministically a single photon and are therefore highly desired in many applications such as quantum imaging, sensing and in information processing. Hence, single photon sources have been an ongoing subject to research for many decades and nowadays even a few start-up companies offer single photon sources. However, for many applications on-demand single photon emission is not sufficient, but deterministic N-photon sources are required that emit exactly N photons with N≥2. These novel N-photon sources do not exist yet but have a broad range of applications, including applications in quantum metrology and lithography, the production of NOON-states for quantum information processing, superresolution microscopy and even medical imaging applications. In the action “DEMONS” we will realize a high-fidelity N-photon quantum light source at the Max Planck Institute for the Science of Light (MPL). More precisely, we will utilize light–matter interactions between molecules and an open scannable and tuneable microcavity at cryogenic temperature to create exotic quantum states that will emit multiphoton quantum light. To do so, we will start with the Fabry-Pérot open microcavity developed at MPL and improve its design for the purpose of this action. Afterwards, we will examine two complementary approaches to create a N-photon quantum light source: In the first approach we will use cooperative coupling of N emitters via the common light field of the microcavity, whereas in the second approach, we will exploit the nonlinearity of the strongly coupled single molecule-microcavity system and create a photon blockade to generate deterministic emission of N-photon bundles. The successful outcome of this action will be the first experimental realization of a high-fidelity N-photon emitter and is expected to boost research in various interdisciplinary areas from bio-imaging to photonic quantum simulation.
Dynamic downscaling of the twentieth-century reanalysis over the southeastern United States

A 108-year (1901–2008) downscaling of the twentieth-century reanalysis (20CR) using the Regional Spectral Model (RSM) has been conducted for the southeastern United States (SEUS) at a horizontal grid resolution of 10 km. This 108-year product, named as the Florida Climate Institute-Florida State University Land–Atmosphere Reanalysis for the southeastern United States at 10-km resolution version 1.0 [FLAReS1.0], has primarily been developed for anticipated application studies in hydrology, crop management, ecology, and other interdisciplinary fields in the SEUS. The analysis of this downscaled product reveals that it ameliorates the issue of artificial discontinuity in the precipitation time series of the 20CR from the variations inherent to RSM. This centennial scale product allows us to begin examining decadal scale variations of the regional features of the SEUS. The fidelity of the low-frequency variations of the winter rainfall associated with the Atlantic Multi-decadal Oscillation (AMO) and the Pacific Decadal Oscillation is reasonably well captured in FLAReS1.0. In fact, the modulation of the El Nino-Southern Oscillation (ENSO) teleconnection with the SEUS rainfall by AMO in the downscaled product is also validated with observations. The ENSO-associated variations of accumulated rainfall from landfalling hurricanes in the SEUS are also well simulated in the downscaled climate simulation. It is to be noted that the success of this dynamical downscaling is also because the global reanalysis of 20CR showed comparable fidelity in these low-frequency variations of the SEUS climate. This method of dynamic downscaling global reanalysis with inclusion of spectral nudging at large wavelengths (in this case ≥500 km) toward the driving global reanalysis (20CR) is sometimes referred as a form of regional reanalysis.
ELECTROMAGNETIC SELECTION DEVICE FOR A TWO-STAGE PLANETARY GEAR SET

The invention relates to an electromagnetic selection device for a two-stage planetary gear set (1) with an input shaft (2) and an output shaft (3), a sun wheel (8), a hollow wheel (11), a planet carrier (10) with planet wheels (5), a gearbox housing (6) and a sliding sleeve (14) for switching from a first gear, in which the hollow wheel (11) is coupled to the housing (6) and a second gear, in which the hollow wheel is coupled to the sun wheel. The sliding sleeve may be displaced by means of an electromagnet made from magnet coils (22, 23) and an armature (24). According to the invention, the armature (24) is arranged on the sliding sleeve (14) such as to rotate but is axially fixed.
Improvements in or relating to gas fires

567,537. Gas stove radiants. SOUTH METROPOLITAN GAS CO., LAMPREY, R. H. B., and FUIDGE, G. H. Sept. 6, 1943, No. 14532. [Class 126] In a stove wherein the front comprises alternate horizontal bars and slots, the median planes of the bars are inclined upwardly from back to front. The bars are of substantially triangular cross-section having a lower surface a<2> which slopes steeply, and an upper surface a<3> sloping less steeply. They are fixed by the engagement of their ends in slots e in vertical bars. Specification 462,055 is referred to.
Participatory designing with sound

Today’s sonic displays play a significant role in threatening the quality of our everyday lives, personal and professional.
Consequently, the interest to design sound is shifting from crafting the sound towards collaboratively understanding the role of
sound and its position in complex environments, such as healthcare and autonomous driving, in which humans and technology
must co-exist. Accordingly, the design process requires more inclusive, human-centered and technology-driven approaches to
design sonic experiences. Yet the field of industrial design lacks systematic design methods and tools to empower design teams
when they collaboratively express creativity through sound and discover sound-driven engineering solutions. Thus, with the PaDS
(Participatory Designing with Sound) project, I aim at advancing the knowledge on sound-driven design thinking in which sonic
communication (speaking about sound and experiences, imagining and representing them) is especially required within multistakeholder design teams that consist of expert (sound) designers as well as non-experts (e.g., users, manufacturers, policy makers).
The main goal of PaDS is opening sound design practices to participatory approaches, in which stakeholders are involved in the
design process as partners. The core of this project is the development of methods and representational tools to empower designers
and other stakeholders to collaboratively conceptualise, express, and communicate sound-driven designs. To reach its goal, the
PaDS project is based on a mixture of interdisciplinary approaches, including sonic interaction design, design cognition studies, and
experimental psychology: Applied research and contextual inquiry of sound issues in complex, socio-technological environments provide relevant case studies of collaborative sound design-thinking, that is investigated through protocol analysis and perceptual experiments.
Prace 6th implementation phase project

PRACE, the Partnership for Advanced Computing is the permanent pan-European High Performance Computing service providing world-class systems for world-class science. Systems at the highest performance level (Tier-0) are deployed by Germany, France, Italy, Spain and Switzerland, providing researchers with more than 17 billion core hours of compute time. HPC experts from 25 member states enabled users from academia and industry to ascertain leadership and remain competitive in the Global Race. Currently PRACE is finalizing the transition to PRACE 2, the successor of the initial five year period. The objectives of PRACE-6IP are to build on and seamlessly continue the successes of PRACE and start new innovative and collaborative activities proposed by the consortium. These include: assisting the development of PRACE 2; strengthening the internationally recognised PRACE brand; continuing and extend advanced training which so far provided more than 36 400 person·training days; preparing strategies and best practices towards Exascale computing, work on forward-looking SW solutions; coordinating and enhancing the operation of the multi-tier HPC systems and services; and supporting users to exploit massively parallel systems and novel architectures. A high level Service Catalogue is provided. The proven project structure will be used to achieve each of the objectives in 7 dedicated work packages. The activities are designed to increase Europe's research and innovation potential especially through: seamless and efficient Tier-0 services and a pan-European HPC ecosystem including national capabilities; promoting take-up by industry and new communities and special offers to SMEs; assistance to PRACE 2 development; proposing strategies for deployment of leadership systems; collaborating with the ETP4HPC, CoEs and other European and international organisations on future architectures, training, application support and policies. This will be monitored through a set of KPIs.
COMPUESTOS DE CEFEM 2-SUSTITUIDOS

La invencion se refiere a compuestos de cefem 2-sustituidos, que tienen un amplio espectro antimicrobiano, en particular exhiben una potente actividad antimicrobiana contra bacterias Gram negativas que producen beta-lactamasa y composiciones farmaceuticas que los comprenden
APPARATUS AND METHOD FOR NEIGHBOR RELATION REPORTING

A method, apparatus and computer program product are provided to facilitate neighbor relation reporting. A method may include, while camping on a first cell, receiving an indication of detection of a second cell, causing initiation of cell reselection to the second cell, receiving system information from the second cell responsive to the initiation of cell reselection, causing termination of cell reselection, and causing provision of neighbor relation information to a network entity via the first cell.
Spectrum of Mandibular Fractures in Motor Vehicle Accidents: MDCT Evaluation

BACKGROUND: Mandibular fractures consist of significant number of facial fractures, especially in cases of Motor vehicle accidents. MDCT plays a major role in determining the presence/ absence of fracture, gives accurate information of displacement and associated soft tissue injury and thin section and multiplanar reconstructions help in better evaluation of the fracture. This study describes the age and gender predilection and site of fracture with some clinical and treatment relevance. Materials and Methods: A retrospective and prospective study was conducted in the department of radio- diagnosis, Bangalore Medical college and research institute for over a period of 1 year, from November 2014- October 2015 which included 98 cases of mandibular fracture by using multidetector computed tomography (MDCT). Cases were divided and assessed based on age, gender predominance, unifocal/ multiplicity, site of fracture and associated facial fractures. Results: Of the 98 cases, male constituted 88% and remaining 12% were females. Most common age group was between 21-30 years. Most cases had multifocal fractures and the most common site of injury was condylar process (32%). Conclusion: Road traffic accidents are very common in metropolitan cities like Bangalore and facial injuries Language: en
Big data models and intelligent tools for quality of life monitoring and participatory empowerment of head and neck cancer survivors

Head and neck cancer can take away a patient’s “right to feel human,” and its impact on physical appearance, physical functioning, psychological status and general quality of life (QoL) can be devastating. Over the past several decades, the number of patients who survive head and neck cancer (HNC) has increased; this makes lifelong surveillance critical. HNC imposes an extremely high socioeconomic burden on patients during and after cancer compared to other tumors, including costs from treatment-induced morbidities, loss of workforce participation and short-term disability. Current survivorship care plans mostly focus on functional and health conditions of treated patients, whereas socioeconomic determinants of quality of life are often neglected due to difficult data collection.

The widespread technologies for social communication and unobtrusive personal monitoring embedded in smartphones and object we commonly use and in our living environments  have the potential to unobtrusively collect wealth of indicators of individual QoL. BD4QoL  objective is to improve HNC survivor’s Quality of Life through person-centred monitoring and follow-up plan by contribution of artificial intelligence and big data unobtrusively collected from commonly used mobile devices, in combination with multi-source clinical, -omic, socioeconomic data and patients reported outcomes, to profile HNC survivors for pBD4QoL  objective is to improve HNC survivor’s Quality of Life through person-centred monitoring and follow-up plan by contribution of artificial intelligence and big data unobtrusively collected from commonly used mobile devices, in combination with multi-source clinical, -omic, socioeconomic data and patients reported outcomes, to profile HNC survivors for personalized monitoring and support. The analysis of QoL indicators collected over time will allow to early detect risks, prevent long-term effects of treatment and inform patients and caregivers for personalized interventions.
Early Time Behavior in Reverberation Chambers and Its Effect on the Relationships Between Coherence Bandwidth, Chamber Decay Time, RMS Delay Spread, and the Chamber Buildup Time

Reverberation chambers are emerging as a test facility for testing wireless devices and for emulating different wireless multipath environments. The commonly used quantities for characterizing the chambers in wireless applications are 1) the chamber quality factor, 2) the chamber decay time (τRC), 3) the RMS delay spread of the time-domain chamber response τrm s, and 4) the coherence bandwidth BW of the frequency-domain transfer function of the chamber. Analytic expressions that relate τRC and BW and the relationship between τrms and BW are given in the literature. However, these expressions neglect the early-time behavior of the chamber (the time before a chamber reaches a reverberant condition), and hence can give inconsistent results when one is analyzing experimental data. In this paper, we discuss the relationship between BW, τRC, and τrms for realistic chamber behaviors, and we present expressions for these relationships when one takes into account the early-time behavior of the reverberation chamber. This early-time behavior is crucial when one tries to assess and compare these different quantities in experimental data, and as we will see, the relationship between these quantities can be different for different chambers (i.e., different chamber sizes and loading conditions). The model presented here illustrates how the early-time behavior can affect these chamber characteristic quantities for loaded and unloaded chambers, and it also illustrates the problems that can occur when the early-time behavior is not considered.
Local government revenue structure: Trends and challenges

This paper examines trends in local government revenues and current challenges that local governments face in raising revenue. We alsolook into the future in an effort to make recommendations to localgovernments regarding their revenue structure. Important trends that wedocument include a long-term decline in the property tax and an increase inboth state aid and user charges. Recent economic changes present seriouschallenges for local governments due to volatility of sales taxes, decreasesin property values, and threats to state aid. As local governments shape theirrevenue structure, they will need to respond to external economic,technological and demographic changes. Only user charges offer hopefulprospects as a productive revenue source.
Synthetic biology of carbohydrate-binding proteins: engineering protein-carbohydrate interactions for diagnostics and cell targeting

The aim of the Initial Training Network will be to train 15 early stage researchers in the emerging field of synthetic glycobiology, equipping them with the skills needed for future careers in the medical technologies sector.
Every living cell is covered in a coating of complex carbohydrates known as the glycocalyx. Anything that approaches the cell membrane must first descend through this forest of carbohydrates. Interactions between carbohydrates and lectins (carbohydrate-binding proteins) play essential roles in cell adhesion and endocytosis. Our growing understanding of glycoscience, and the advent of chemical and synthetic biology methodologies, presents an opportunity to redesign, synthesise and exploit glycocalyx and lectin components for diverse analytical, diagnostic and targeted therapeutic applications: this is the field of Synthetic Glycobiology.
The ESF-funded report, “A Roadmap for Glycosicence in Europe”, has highlighted the importance of glycoscience to the European bioeconomy. The European glycomics market is growing rapidly (>10% growth p.a.). There is an urgent need to train ESRs with the scientific and entrepreneurial skills required to enable European industry to exploit this rapidly growing market.
The synBIOcarb ETN brings together a diverse team of chemists, structural biologists, biophysicists, cell biologists and protein engineers who are pioneering the development of Synthetic Glycobiology, and four SMEs that are leading industrial innovation in glycoscience and protein engineering. Together, we will train 15 ESRs in the essential enabling technologies that underpin the development and exploitation of glycoscience: glycoconjugate synthesis; lectin engineering; biophysical interaction measurements; cell biology; analytical device technologies; entrepreneurial and transferable skills.