SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Human cationic trypsinogen but not serine peptidase inhibitor, Kazal type 1 variants increase the risk of type 1 autoimmune pancreatitis

Autoimmune pancreatitis (AIP) is a distinct disease entity. Whether the genes involved in pancreatic acinar cell injury, cationic trypsinogen gene (protease, serine, 1 [trypsin 1] [PRSS1]) and the pancreatic secretory trypsin inhibitor gene (serine peptidase inhibitor, Kazal type 1 [SPINK1]), are associated with AIP remains to be explored.Genetic analyses of PRSS1 variants (exon 2 and 3) and SPINK1 variants (exon 1, 2, and 3) including the intronic areas in 118 patients with AIP and 200 control subjects were performed by direct DNA sequencing. Clinical features including imaging, histology, serology, response to steroid, and extra-pancreatic organ involvement in AIP patients with and without variants were compared.A total of 19 PRSS1 variants and one SPINK1 variant were identified in 20 (16.9%) out of 118 AIP patients. They included one K92N, nine R116C, seven T137M, one C139S, and one C139F of PRSS1 and one 2(IVS3 + 2) of SPINK1. No PRSS1 or SPINK1 variant was identified in the control group. Patients with PRSS1 variants had an increased risk of AIP with odds ratio 22.37 (95% confidence interval: 2.96-168.8, P = 0.003) and higher frequency of serum IgG4 above 280 mg/dL. Using immunosuppressive agent and PRSS1 variant were predictors of less disease relapse in univariate analysis. Presence of PRSS1 variants was the only negative predictor for disease relapse in multivariate analysis.We found a significantly higher frequency of PRSS1 variants in AIP patients than in geographically and ethnically matched control subjects. PRSS1 variants are associated with less disease relapse in AIP.
On the Orientation of China’s Tax System Reform under the Conditions of External and Internal Economic Imbalances

Under the conditions of external economic imbalances,China’s economy is faced with such challenges as bigger and bigger pressures for slowing down the economic growth,rising of factor costs,lacking of consumption stimulation,and depressed export.As an important lever to regulate economy,there still exist such problems in the taxes as unreasonable tax system structure,lacking of systematic and long-term planning for the construction of tax system,confused relationship between taxes and fees,lacking of standardized tax system,and so on.During the period of external and internal economy being faced with important transition,we should clear up our way of thinking,have a clear orientation of tax reform,adhere to the idea of sustainable development,standardize the tax system design,reduce the proportion of indirect taxes in an appropriate manner,improve and optimize the system design of turnover tax,strengthen the income adjusting function of individual income tax,improve the local tax system,make a green tax system,so as to lay a solid system foundation for a quality economic growth.
Carpentry Serrana – Adapt

This project aims to organise and adapt the factory in accordance with the recommendations of the DGS to maintain the safety of workers.
Sustainable, accessible, safe, resilient and smart urban pavements

Urban pavements comprise almost 40% of European cities and are the main means by which people travel every day. Urban pavements must accommodate all users in the most efficient, safe, sustainable and smart way. A key factor to increase the liveability of tomorrow’s Smart cities will be transforming the way urban pavements are perceived, designed, built, maintained and function. SAFERUP! aims to provide cities with innovative solutions that will form the future urban paved environment, by training talented researchers in the fields of: smart, recycled and durable paving materials; provision for vulnerable users (e.g. elderly & disabled) accessibility and protection; studying user behaviour; life cycle analysis; wash-off water management and bioremediation; tempered and acoustic pavements; energy harvesting and self-sensing technologies. The SAFERUP! Consortium believes in this future and has created a unique team of world leading commercial and academic research engineers and scientists, with the diverse range of expertise needed to develop the novel solutions required to deliver this future and its anticipated benefits. Fifteen ESRs will undertake their PhDs in a research and training programme designed to optimise their multidisciplinary and cross-sectoral experience through secondments and a variety of SAFERUP!-wide fora. All ESRs’ projects are interrelated and considerable synergies, trans-project contributions and collaborations will occur. A key focus of the training will be career planning, entrepreneurship and skills development in particular communication. SAFERUP! participants with communication expertise will develop the communication and dissemination strategy to maximise the exploitation of the developed solutions. SAFERUP! will create a new generation of professionals with multidisciplinary expertise in urban pavements and allied fields appealing to employers, who will expand the social benefits of the new urban pavements well beyond the end of SAFERUP!
Rotative cylinder compressor for energy efficient industrial compression process

Gas compression with piston reciprocating compressors dates from 19th century and it is widely used today for a vast range of industrial applications. The process of compression is energetically inefficient as just ten percent of the energy consumed becomes mechanical energy as compressed gas, being the rest of the energy wasted in heating the gas, energy that must be dissipated incurring an additional energy expenditure.
ABC COMPRESSORS has developed the Rotating Cylinder Compressor (CCR – Compresor Cilindros Rotativos) which adopts a disruptive concept of piston compression based in centrifugal forces. This new compressor concept enables to reduce up to 20% the energetic consumption of compressors eliminating the need of water cooling and reducing considerably the dimension (and constructive cost) of the compressor.  
Oil and Gas market is outlined as principal market for this project due to the big size of the market (around 50% of global compressors), growing trends, and market pressure for reduce energy consumption. More than 10.000 compressors are sold nowadays, and it is expected to have a steadily growth due to natural gas plants proliferation and old compressors replacing market in Europe and US. 
Taking into account existing needs, potential market, ABC COMPRESSORS` strength and knowledge in high pressure compressors and industrial markets and the possession of patented superior technology (reduction of energy consumption, reduction of price and simplicity), a clear business opportunity for ABC COMPRESSORS is outlined. 
In this Phase 1 project, a feasibility study will be held to analyse the viability of the whole project, analysing market, product, business and financial features in order to guarantee the profitability of the investment in the identified markets and future scenarios.
Displacement sensor (position pick-up) having mechanical gearing elements

Displacement sensor having non-linearly operating mechanical gearing elements for transforming the linear movement of a drive rod of a drive for regulating, control and blocking (shut-off, stop) fittings, having a Hall sensor whose non-linearity opposes the non-linearity of the gearing elements in order to compensate the non-linearity of the gearing elements; cf. Figure 2. <IMAGE>
Large-Scale identification of secondary metabolites, metabolic pathways and their genes in the model tree poplar

Poplar is an important woody biomass crop and at the same time the model of choice for molecular research in trees. Although there is steady progress in resolving the functions of unknown genes, the identities of most secondary metabolites in poplar remain unknown. The lack of metabolite identities in experimental systems is a true gap in information content, and impedes obtaining deep insight into the complex biology of living systems. The main reason is that metabolites are difficult to purify because of their low abundance, hindering their structural characterization and the discovery of their biosynthetic pathways. In this project, we will use CSPP, an innovative method recently developed in my lab, to systematically predict the structures of metabolites along with their biosynthetic pathways in poplar wood, bark and leaves. This CSPP method is based on a combination of metabolomics and informatics. In a next step, the CSPP tool will be combined with two complementary genetic approaches based on re-sequence data from 750 poplar trees to identify the genes encoding the enzymes in the predicted pathways. Genome Wide Association Studies (GWAS) will be made to identify SNPs in the genes involved in the metabolic conversions. Subsequently, rare defective alleles will be identified for these genes in the sequenced population. Genes identified by both approaches will then be further studied either by crossing natural poplars that are heterozygous for the defective alleles, or by CRISPR/Cas9-based gene editing in poplar. The functional studies will be further underpinned by enzyme assays. Given our scarce knowledge on the structure of most secondary metabolites and their metabolic pathways in poplar, this large-scale identification effort will lay the foundation for systems biology research in this species, and will shape opportunities to further develop poplar as an industrial wood-producing crop.
VAGINAL APPLICATION MIFEPRISTONE

The delivery of an antiprogestin in low dose amounts either vaginally or in the uterus is used as a contraceptive.
High-sensitivity capillary electrophoresis method for monitoring purine nucleoside phosphorylase and adenosine deaminase reactions by a reversed electrode polarity switching mode

A simple, efficient, and highly sensitive in-line CE method was developed for the characterization and for inhibition studies of the nucleoside-metabolizing enzymes purine nucleoside phosphorylase (PNP) and adenosine deaminase (ADA) present in membrane preparations of human 1539 melanoma cells. After filling the running buffer (50 mM borate buffer, 100 mM SDS, pH 9.10) into a fused-silica capillary (50 cm effective length × 75 μm), a large sample volume was loaded by hydrodynamic injection (5 psi, 36 s), followed by the removal of the large plug of sample matrix from the capillary using polarity switching (-20 kV). The current was monitored and the polarity was reversed when 95% of the current had been recovered. The separation of the neutral analytes (nucleosides and nucleobases) was performed by applying a voltage of 15 kV. An about 10-fold improvement of sensitivity for the five investigated analytes (adenosine, inosine, adenine, hypoxanthine, xanthine) was achieved by large-volume stacking with polarity switching when compared with CE without stacking. For inosine and adenine detection limits as low as 60 nM were achieved. To the best of our knowledge, this represents the highest sensitivity for nucleoside and nucleobase analysis using CE with UV detection reported so far. The Michaelis-Menten constants (K(m)) for PNP and ADA and the inhibition constants (K(i)) for standard inhibitors determined with the new method were consistent with literature data.
SINK FIXING

A fixing for a sink (20) to be mounted on a worktop. The sink (20) comprises a rim (23) for seating onto the worktop, at least one connection element (30) removably connected to the outer wall of the sink (20), and at least one bolt (34) which extends from said connection element (30) towards the rim (23) for clamping the rim to the worktop.
OXIDATION FURNACE

The invention relates to an oxidation furnace for the oxidative treatment of fibers, in particular for producing carbon fibers, comprising a housing (12), which is gas-tight, apart from passage areas (18, 20) for the fibers (22), and a process chamber (28) located in the interior (14) of the housing (12). By means of an atmosphere device (38, 40, 46), a hot working atmosphere can be produced and blown into the process chamber (28). Deflecting rollers (34), which are arranged outside of the process chamber (28) in deflecting areas (30, 32), guide the fibers (22) through the process chamber (28) in a serpentine manner in such a way that the fibers lie next to one another as a fiber carpet (22a), wherein the fiber carpet (22a) spans a plane between opposite deflecting rollers (34). Outlet fiber carpets (50a) of outlet fibers (50) that have left the process chamber (28) and are on the way to a deflecting roller (34) can be cooled in a specific manner by means of a fiber-cooling device (54) before said outlet fiber carpets reach the deflecting roller (34).
AN OBJECT ATTACHER AND A METHOD FOR ATTACHING A MOVABLE OBJECT

In one aspect, the present invention is directed to an object attacher (10) comprising: an object's magnet (14) fixed to a movable object (28) moving the object's magnet along a course (24); a first stationary magnet (18) polarized similar to the object's magnet (14) for repulsing thereof, the first stationary magnet (18) fixed adjacent to a first point (B) on the course (24) of the object's magnet (18), allowing passing of the object's magnet (18) therebeyond; and a mechanical barrier (32) to the movable object (28), the barrier limiting the object's magnet (14) from being drawn away from one side (side C) of the magnetic repulsion along the course (24), thereby softly attaching the movable object (28) between boundaries determined by the mechanical barrier (32) and non-maximal magnetic repulsion (34) force between the magnets (14, 18).
Surface plasmon resonance sensor based on bimetallic alloys grating

A surface plasmon resonance sensor based on triangular alloys grating with high performance is proposed. The grating consists of homogeneous binary gold alloys of formula Au
 x
 M1−x
 , where M is silver, platinum and palladium. It is observed that the two metals, platinum and palladium, have an almost identical surface plasmon resonance in gold alloys irrespective of composition x. The resonance sensitivity becomes highly dependent on gold composition. The composition of gold around 0.1 is found to have a higher sensitivity. 0.1 composition of Au and 0.9 of Ag gives a high sensitivity. Consequently, the quality of the sensor is improved. Numerical simulations show that the angular sensitivity of the sensor reaches 100°/RIU and the full width at half maximum of the resonant dip is only 1.2°. Moreover, the sensor has not only a high sensitivity and a high resolution, but also a good linearity.
The Web of Data for E-Commerce: Schema.org and GoodRelations for Researchers and Practitioners

Schema.org is one of the main drivers for the adoption of Semantic Web principles by a broad number of organizations and individuals for real business needs. GoodRelations is a well-established conceptual model for representing e-commerce information, one of the few widely used OWL DL ontologies, and since 2012 the official e-commerce model of schema.org.

In this tutorial, we will 1 give a comprehensive overview and hands-on training on the advanced conceptual structures of schema.org for e-commerce, including patterns for ownership and demand, 2 present the full tool chain for producing and consuming respective data, 3 explain the long-term vision of Linked Open Commerce, and 4 discuss advanced topics, like access control, identity and authentication e.g. with WebID; micropayment services, and data management issues from the publisher and consumer perspective. We will also cover research opportunities resulting from the growing adoption and the respective amount of data in RDFa, Microdata, and JSON-LD syntaxes.
Experimental evaluation of memory configurations of Hadoop in Docker environments

Hadoop is widely used in these days for big data analytics. Docker, a new container technology, is hot nowadays, and is the new QuickStart option for Apache Hadoop. It is a trend to build Hadoop cluster in Docker environments in clouds or clusters. However, how to make better use of hardware resources and improve Hadoop performance in Docker environments is a challenge for users. In this paper we study memory configurations of Hadoop in Docker environments, and analyse the performance of Hadoop while altering Hadoop's memory configurations. We select two different applications (a CPU-intensive application - WordCount and a memory-intensive application - TeraSort) and measure their resource usages in terms of CPU and memory footprint. Extensive tests have been executed, the test results show that appropriate customization of memory configurations improves performance compared to the default memory parameter settings.
New solution for fully automated analysis and reporting of routine musculoskeletal x-rays

Routine radiology services are facing a huge problem on having efficient workflows to deliver X-ray analysis and diagnosis
shortly after image acquisition – with patients waiting days or weeks for the results. The volume of X-rays scans is quickly
growing year after year –more than 140 million X-rays analysis of the musculoskeletal (MSK) system were performed in
2018 in Europe alone. The current number of radiologists is insufficient to efficiently analyse and deliver the medical report
shortly, causing unnecessary stress for patients and potential delay in the treatment. Thus, there is an urgent need for
solutions optimizing the workflow on routine radiology services.
Radiobotics (RDB) has developed a comprehensive machine learning-based software tool that automatically analyses X-rays
of the MSK system and generates the respective medical report. The algorithms used have been trained with data
screened and validated by our clinical partners, in order to mimic expert accuracy and a state-of-the-art performance. RDB
automatic software will greatly benefit: 1) radiologists/physicians (end-users) by lowering the time required to analyse
images and generate diagnostic reports; 2) hospitals (customers) by optimizing the services workflow, saving costs and
offering higher quality services; and 3) patients by having access to a faster and accurate diagnosis and consequently early
treatments.
AutoRay project will enable RDB to mature its product to a market-ready software suite addressing multiple conditions in multiple anatomical regions while ensuring a seamless integration in IT systems. In addition, it will provide a stage to a large-scale demonstration of its performance in clinical practice. Upon completion, RDB will open up for a very large business opportunity, providing a perspective for RDB to become a lead player in the medical imaging arena.
The role of customer brand engagement in social media: conceptualisation, measurement, antecedents and outcomes

Customer Brand Engagement (CBE) is an important, timely concept, particularly for service brands using interactive social media channels. This research involved elucidation of the main characteristics of CBE, development and evaluation of a social media adapted CBE measurement scale and hypothesis testing to position CBE in social media among other relationship concepts. We identified CBE as a unique concept using a repertory grid, adapted a three-dimensional organisational behaviour scale and validated the scale using questionnaire and panel data. The scale is reliable for the measurement of CBE in interactive social media contexts, incorporating physical, emotional and cognitive psychological engagement states, as demonstrated with exploratory and confirmatory factor analyses. We found significant effects of customer participation and brand involvement on CBE, and of CBE on brand loyalty through brand experience and satisfaction. This paper demonstrates the complexity (multidimensionality) of CBE and shows how it can be measured appropriately in interactive contexts.
Estágio extra mural como espaço de aprendizagem para abordagem interprofissional à pessoa com deficiência no SUS: um relato de experiência / Extra mural internship as a learning space for the interprofessional approach to the person with disability in the SUS: an experience report

This report aims to describe the experience of the students of the Odontology course of the University of Fortaleza during the module of Extra-Mural Internship in an Institution that provides care to people with disabilities.Descriptive in nature, this experience is the result of internship activities in the Association of Parents and Friends of Exceptional Children, located in the city of Fortaleza-Ce, with the purpose of enabling comprehensive care and safeguarding the rights of persons with disabilities and their social inclusion.The experience comprised the follow-up through active observation and informal dialogues during the consultations with speech therapy, psychology, occupational therapy, and pedagogy professionals, in addition to educational and preventive activities related to oral health and clinical dental procedures.The learning acquired was of great value for the academic and human formation of the students.Concluding that it is extremely important the multiprofessional approach in the attendance to People with Deficiency.
Getting sports injury prevention on to public health agendas – addressing the shortfalls in current information sources

Public health policy is a successful population-level strategy for injury prevention but it is yet to be widely applied to the sports sector. Such policy is generally coordinated by government health departments concerned with the allocation of limited resources to health service delivery and preventive programs for addressing large community health issues. Prioritisation of sports injury prevention (SIP) requires high-quality evidence about the size of the problem and its public health burden; identification of at-risk vulnerable groups; confirmed effective prevention solutions; evidence of intervention cost-effectiveness; and quantification of both financial and policy implications of inaction. This paper argues that the major reason for a lack of sports injury policy by government departments for health or sport to date is a lack of relevant information available for policy makers to make their decisions. Key information gaps evident in Australia are used to highlight this problem. SIP policy does not yet rank highly because, relative to other health/injury issues, there is very little hard evidence to support: claims for its priority ranking, the existence of solutions that can be implemented and which will work, and potential cost-savings to government agencies. Moreover, policy action needs to be integrated across government portfolios, including sport, health and others. Until sports medicine research generates high-quality population-level information of direct relevance and importance to policy makers, especially intervention costing and implementation cost-benefit estimates, and fully engage in policy-informing partnerships, SIP will continue to be left off the public health agenda.