SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Antiplatelet drug interactions

Both laboratory studies in healthy volunteers and clinical studies have suggested adverse interactions between antiplatelet drugs and other commonly used medications. Interactions described include those between aspirin and ibuprofen, aspirin and other nonsteroidal anti-inflammatory drugs (NSAIDs), and the thienopyridine, clopidogrel, and drugs inhibiting CYP2C19, notably the proton pump inhibitors (PPI) omeprazole and esomeprazole. Other interactions between thienopyridines and CYP3A4/5 have also been reported for statins and calcium channel blockers. The ibuprofen/aspirin interaction is thought to be caused by ibuprofen blocking the access of aspirin to platelet cyclo-oxygenase. The thienopyridine interactions are caused by inhibition of microsomal enzymes that metabolize these pro-drugs to their active metabolites. We review the evidence for these interactions, assess their clinical importance and suggest strategies of how to deal with them in clinical practice. We conclude that ibuprofen is likely to interact with aspirin and reduce its anti-platelet action particularly in those patients who take ibuprofen chronically. This interaction is of greater relevance to those patients at high cardiovascular risk. A sensible strategy is to advise users of aspirin to avoid chronic ibuprofen or to ingest aspirin at least 2 h prior to ibuprofen. Clearly the use of NSAIDs that do not interact in this way is preferred. For the clopidogrel CYP2C19 and CYP3A4/5 interactions, there is good evidence that these interactions occur. However, there is less good evidence to support the clinical importance of these interactions. Again, a reasonable strategy is to avoid the chronic use of drugs that inhibit CYP2C19, notably PPIs, in subjects taking clopidogrel and use high dose H2 antagonists instead. Finally, anti-platelet agents probably interact with other drugs that affect platelet function such as selective serotonin reuptake inhibitors, and clinicians should probably judge patients taking such combination therapies as at high risk for bleeding.
Why do bicyclists take detours? A multilevel regression model using smartphone GPS data

Abstract Bicyclists often deviate from the shortest possible routes and take detours in search of more pleasant riding conditions. The extent of detours and the factors affecting bicyclists to ride excess distances have not yet been fully explored. This study aims to measure and analyze the detour extent of utilitarian bicycle trips and their relationships with the route-level environmental components using data collected from individual bicyclists' smartphone GPS in Columbus, Ohio. Comparing the chosen routes with their shortest counterparts, we calculate two detour indices (a distanced-based index and an area-based index) and provide a comparative analysis of built environment attributes for low, moderate, and high levels of detours. We then estimate multilevel mixed-effect generalized linear regression models to identify the contribution of built-environment characteristics to such detours while accounting for individual heterogeneity. We find that most bicycle trips (91.1%) include a detour and are 13.5% longer on average than their shortest alternatives with large variations. Detour degrees are higher for long-distance trips and for peak-period trips. We find that bicyclists choose routes with smaller shares of commercial and single-family land-uses and low levels of land-use diversity. Longer detours are positively associated with street greenery. We find that sparse bicycle facilities and high-speed limits are strong contributors to bicyclists' detour decisions, while multilevel mixed-effect linear regression models further present significant heterogeneity in bicyclists' responses to some environmental attributes. The area-based detour index performs better in explaining the relationships between land-use features and detour degrees.
The Relationship of Tea Production Area, Tea Production Volume and Tea Price on the Sales of Tea in Indonesia

As one of Indonesia’s commodity, tea has been a popular commodity but its popularity has been declining. Indonesia now imports more tea than exports, which suggests a decline in export sales, and the study discusses factors that affect it. Commodity research in Indonesia mainly comes from agriculture faculties. Very few journals discussed about the economic side of tea. The theoretical framework focused on the relationship of tea production area (X1), tea production volume (X2) and tea price (X3) as the independent variables and the sales of tea as the dependent variable (Y). The research methodology uses a descriptive study and a quantitative method where the data taken for the analysis is secondary. The analysis shows that from the three independent variables, tea production area has no relationship on sales, while tea production volume and tea price have a relationship on sales. In summary, even though in reality there is a decline in tea producing areas, as long as the plantations can produce in volume, then sales can increase. However, if there is an increasing amount of supply, followed by an increasing demand, it would push the price down.
METHOD AND SYSTEM FOR TREATMENT OF EATING DISORDERS

The invention comprises a gastric device having a pouch formed from a degradable film. Preferably, the pouch contains a gas producing material. The gastric device hydrates within a patient's stomach and the gas producing material expands the device to a greater volume. Accordingly, the volume of the hydrated, expanded gastric devices occupy space in the stomach cavity and reduce the amount of food the patient will ingest before reaching the feeling of fullness. Preferably, the gastric device is made from food grade materials. The gastric device is configured to expand to a desired volume and then degrade after a residence time, allowing the device to be passed by the patient's normal digestive process.
Targeted therapy for advanced colorectal cancer patients

The REVERT project will address the specific challenge of understanding at system level the pathophysiology of mCRC cancer in patients responding well or poorly to therapies, in order to design optimal strategy for mCRC on a case by case basis, with therapeutic interventions modulated depending on patient’s features.  Accordingly, REVERT will build up an innovative artificial intelligence (AI)-based decision support system using the experience and the real-world data of several general Hospitals operating in the EU healthcare system ultimately aimed at developing an improved and innovative model of combinatorial therapy - based on a personalised medicine approach - that identifies the most efficient and cost-effective therapeutic intervention for patients with unresectable mCRC. This goal will be pursued through the building of the REVERT-DataBase (RDB) thanks to a large number of standardized biobank samples with related structured data, and clinical databases (including known clinical and biological features as well as new, potential prognostic/predictive biomarkers) from several major clinical European centres. The RDB, in turn, will be used to build a sophisticated computational framework based on AI to evaluate its impact on survival and quality of life in a prospective clinical trial through testing of new treatment sequences of the available and authorised molecular targeted drugs in patients with mCRC. In the end, the REVERT will also generate an EU- network among SMEs, Research Institutions, Clinical Centres and Biobanks focused on R&D in the field of AI-Health for the development of personalised medicine.
The REVERT software system will ensure the integrity of data and privacy management in respect to national rules, the EU's GDPR (Reg. EU 2016/679) and the EU Charter of Fundamental Rights.  The RDB and AI services will be open to all partners during and after project’s completion, available also to EU research Institutions for future studies.
Compressed natural gas transport system

The GASVESSEL aims to prove the techno-economic feasibility of a new CNG transport concept enabled by a novel patented Pressure Vessel manufacturing technology and a new conceptual ship design including safe on- and offloading solution. It carries out research and innovates different steps in the value chain from a decision support model to simulate and benchmark scenarios until the process of ship design, new Pressure Vessel designs and manufacturing as well as novel high pressure on- and offloading.
The project supports the European Commission’s Maritime Transport Strategy in which maritime transport is considered key to securing Europe’s energy supply. It sets the knowledge base for identifying where the novel CNG concept has added value, develop prototype technologies and related business cases, promote the concept with end-users and foster market introduction, first in Europe, and subsequently beyond. 
The GASVESSEL project contributes the Energy Union to become less dependent on energy imports by serving as a flexible interconnector which enables energy to flow freely across the EU. The project will make it possible to supply natural gas to places where natural gas is not yet a part of the energy supply e.g. where large investment in regassifiers are not feasible or done (yet) such as the Mediterranean Islands. The concept offers novel cost effective gas transportation and hence promising prospects to start using and monetising the huge amount of currently wasted (flared), stranded and associated gas which is currently wasted or not used, while contributing to reducing an important environmental side effect of global oil exploitation.
The validation and proof of concept of the GASVESSEL project is performed by a cost-benefit analyses (financial viability), safety assessment, environmental impact analyses and value chain business cases development in relation to real-life geo-logistic scenarios.
A Private Public Sphere: Robert Duncan and Jess’s Cold War Household

Robert Duncan, a poet, and Jess, a visual artist, were collage artists and life partners; their shared home came to comprise an integral part of their artistic philosophy. This essay uses the resources of public sphere theory to analyze how Duncan’s “The Homosexual in Society” and “The Architecture Passages 9,” and Jess’s Paste-Up, “The Mouse’s Tail” taken together provide a theory of living directly opposed to the then-hegemonic vision of a pleasure-based family or home life cordoned off from the “real world” of work and politics. Collage becomes a way of bringing—as the historical avant garde attempted to do—art and life together, and of forming a political home and family life integrally related to the life of the “outside world.”
Incorporating SIFT with Hard C-Means algorithm

The scale invariant feature transform (SIFT) has been used widely as a tool in object recognition. However, when there are several keyframes for one object in the training database, the number of keypoint descriptors for that object might be huge. The matching process of a test keypoint has to be done on all keypoints in the training database, hence, the amount of matching time is huge. Since the keyframes in the training database are from the same object, there must be some keypoints that are similar. In this paper we incorporate SIFT with the Hard C-Means (HCM) algorithm to group keypoint descriptors and then utilize the prototypes in the matching process instead. We implement this algorithm with three data sets, i.e., bottle, MPEG 7 and Thai hand gesture. We found that on the bottle and MPEG 7 test data sets, the algorithm outperform the one with SIFT with much smaller matching computation time. For the Thai hand gesture data set, the correct classification with much less matching times on the test data set from the proposed algorithm is comparable with that of SIFT.
Human Center of Gravity Dynamics A New Parameter Of Motor Development Functions

A study of a new parameter of human growth and development was conducted. The percentage of the height of body gravity center to the stature in supine position was measured in males and females during the period of pre-puberty (l995), young and adult puberties (1995 and 1997) and male adults (1995). The parameters measured were weight, stature and the height of the gravity center. Data were calculated in obtaining arithmetic means, standard deviations of all parameters and the percentage of gravity point height to stature. The percentages of male and female means, as well as standard deviations, were compared statistically. It was shown that in the pre-puberty group the location of the gravity center to stature was the same in percentage in males compared to females, whereas in the adult group (1987, 1995) a higher percentage was found in males. Among males (1995) differences were found in the percentages, which might have been caused by differences of body typology; the mesomorphic type showed the highest percentage, the endomorphic type showed the lowest, whereas the ectomorphic type it was in between.
SUBVENÇÃO PARA OS CUSTOS DE GESTÃO DA COVID-19

PEDIDO DE FACILITAÇÃO REFERIDO NO ANÚNCIO PÚBLICO DE PEQUENAS SUBVENÇÕES A PME SUSPENSAS OU COM UMA DIMINUIÇÃO GRAVE DO VOLUME DE NEGÓCIOS
Nutritional and Metabolic Management of Obesity and the Metabolic Syndrome in the Patient with Chronic Kidney Disease

Obesity is a 21st century worldwide epidemic that affects all age groups, races, and genders. Mortality risk increased exponentially with obesity severity, and the condition is complicated by chronic diseases such as chronic kidney disease (CKD), diabetes, and hypertension. Obesity may now be considered an important cause of kidney disease. Even moderate obesity nearly doubles the risk of CKD. Obesity-related glomerulopathy (ORG) is a specific form of glomerulomegaly, with or without secondary focal glomerulosclerosis, with heavy proteinuria and glomerular hyperfiltration. Like obesity, the metabolic syndrome is a predictor of CKD. Both conditions are associated with overactivity of the renin-angiotensin system. The benefit of RAS blockade may be greater in the obese patient. Evidence from clinical trials indicates that weight loss can be achieved through lifestyle modification, and may be associated with reduction in blood pressure and proteinuria, and stabilization of kidney function. Bariatric surgery involving procedures such as gastric bypass or banding is increasingly used to achieve durable weight loss and reduce short- and long-term complications of obesity. The use of bariatric surgery in patients with CKD involves a complex combination of benefits and potential risks for the patient.
Industrial scale pet chemical recycling via an innovative glycolysis process

The massive industrial use of Polyethylene Terephthalate (PET) poses serious economic and environmental problems due to its poor recyclability. Current PET disposal options include incineration, landfilling and recycling while a relevant amount is still dumped into oceans. Landfilling and incineration are however outdated since environmentally unsustainable. Recycling is the preferred option, but a series of technological barriers limit the recycling into high-quality rPET (recycled PET).
The ChemPET project aims to scale-up a cutting-edge chemical recycling technology, based on glycolysis, for PET based waste converting it into monomer BHET.
Currently, there are no alternatives which guarantee efficient results at industrial scale considering heterogeneous PET feedstock. BHET can be newly used as raw material in the production of virgin PET instead of the terephthalic acid (TPA) and the ethylene glycol (EG) that derive from crude oil. This determines advantages for the PET value chain in terms of environmental sustainability, competitiveness and job creation. ChemPET will help Europe to achieve the “Zero Plastics to landfill by 2025”, promoting the Circular Economy and reducing Europe dependency on fossil feedstocks. ChemPET project foresees the technical improvement of ChemPET technology and the valorisation of by-products.
After the optimization of the BHET production phase, GARBO will collaborate with many stakeholders across plastic industry value chain to maximize the business opportunities and foster the uptake of ChemPET technology. The production of chemical recycled PET (crPET) from BHET will close the loop supporting the growth of the circular economy thus reshaping the PET value chain at whole. Large occupational benefits are expected by the replication of ChemPET process.
The Phase-2 project will finally allow to scale-up of the current pilot to an industrial level able to chemically recycle 100 tpd (ton/day) increasing GARBO turnover of €25M.
Beol technology platform based on ferroelectric synaptic devices for advanced neuromorphic processors

The increasing amount of data that has to be processed in today’s electronic devices requires a transition from the conventional compute centric paradigm to a more data centric paradigm. In order to bridge the existing gap between memory and logic units that is known as the classical von Neumann bottleneck the concept of physical separation between computing and memory unit has to be repealed. Neuro inspired architectures constitute a promising solution where both logic and memory functionality become synergized together in one synaptic unit. Our project BeFerroSynaptic addresses the specific challenges of the H2020-WP 2018-2020 by targeting for the development of electronic synaptic devices based on one of the most power-efficient memory technologies – the ferroelectric polarization switching. The ultimate goal of the BeFerroSynaptic project is to develop a ‘ferrosynaptic’ technology platform featuring back-end-of-line (BEOL) integrated Hf(Zr)O2-based ferroelectric field-effect transistors (FeFETs) and ferroelectric tunnelling junctions (FTJs) on top of an existing CMOS technology. Our attempt is to demonstrate the feasibility (TRL 4) of the ‘ferrosynaptic’ concept in an extremely energy-efficient neuromorphic computing architecture. To ensure a realistic endeavour, the ambitious challenges will be tackled by building the complementary FTJ and FeFET device development on existing technologies and adapt it to BEOL integration on top of a CMOS technology, and building on existing neuromorphic processor designs that will be adapted to the ‘ferrosynaptic’ technology. The BeFerroSynaptic consortium assembles a significant amount of resources and expertise. It includes representatives both from the academic and research community as well as from industry. The  consortium  is  composed  of 11  partners,  of  which 5 RTOs  partners  (CEA,  NaMLab, NCSRD,  IUNET, HZB), 4 universities (UZH, ETH, UG, TUD as project consultant) and 2 industrial partners (X-FAB, IBM).
Network’s support for SMEs in the Nautical sector of the Adriatic-Ionian Region PLUS

The overall objective of the ECO-NautiNET PLUS project is to further maximize the effectiveness and wide spread, on ADRION level, of the innovative ECO-NautiNET Cooperative Network of SMEs, Research & Technology Institutions, Business Support Organizations of the Nautical sector and enhance the practical transferability of this collaboration, network and management system to other related cross-cutting blue sectors.

In particular, the project objectives are:
-to tackle the low collaboration among SMEs, Research Institutions and Business Support Organizations across the Adriatic-Ionian area, by using, better exploiting, enhancing and transferring the common Joint Management System, the Network and the Web Platform developed and tested under ECO-NautiNET
-to enhance the realization of concrete new possibilities of cooperation among SMEs and RTOs of the Nautical and blue cross-cutting sectors in the ADRION zone in terms of process and products innovation
-to increase the applicability and transferability of the Joint Management System, the Network and the Web Platform to additional cross-cutting blue sectors as an efficient approach for collaboration, innovation and internationalization

In order to achieve these objectives, the ECO-NautiNET PLUS project aims to:
-Promote the ECO-NautiNET project outcomes and results: the Joint Management System, the ECO-NautiNET Network of stakeholders in the Nautical sector, the Web Platform for collaboration and innovation among the 3Helix of Innovation stakeholders to National, Regional and ADRION level through Public events to partners’ regions
-Promote the practical use and application for collaboration, innovation and internationalization of the Joint Management System, the Network and the Web platform to SMEs, BSOs and RTOs on National, Regional and International level through Training Workshops, manuals and Stakeholders’ events to partners’ regions
-Promote the transferability of the Joint Management System, the Network and the Web platform and its practical application to other cross-cutting blue sectors such as shipping, maritime etc. inviting stakeholders to the Training Workshops, Stakeholders’ events and Public events
-Improve, update, enhance and promote the ECO-NautiNET Joint Management System, the Web platform and the Network to ensure their resilience to COVID-19 and the consequent economic crisis and that of the key actors and especially SMEs of the nautical sector and other cross-cutting blue sectors that have been directly affected.
Species-Level Differences in Hyperspectral Metrics among Tropical Rainforest Trees as Determined by a Tree-Based Classifier

This study explores a method to classify seven tropical rainforest tree species from full-range (400–2,500 nm) hyperspectral data acquired at tissue (leaf and bark), pixel and crown scales using laboratory and airborne sensors. Metrics that respond to vegetation chemistry and structure were derived using narrowband indices, derivative- and absorption-based techniques, and spectral mixture analysis. We then used the Random Forests tree-based classifier to discriminate species with minimally-correlated, importance-ranked metrics. At all scales, best overall accuracies were achieved with metrics derived from all four techniques and that targeted chemical and structural properties across the visible to shortwave infrared spectrum (400–2500 nm). For tissue spectra, overall accuracies were 86.8% for leaves, 74.2% for bark, and 84.9% for leaves plus bark. Variation in tissue metrics was best explained by an axis of red absorption related to photosynthetic leaves and an axis distinguishing bark water and other chemical absorption features. Overall accuracies for individual tree crowns were 71.5% for pixel spectra, 70.6% crown-mean spectra, and 87.4% for a pixel-majority technique. At pixel and crown scales, tree structure and phenology at the time of image acquisition were important factors that determined species spectral separability.