SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Tropical and south atlantic climate-based marine ecosystem predictions for sustainable management

Sustainable management of human activities affecting Atlantic marine ecosystems is critical to maintain its health and to support the blue economy of the bordering countries. TRIATLAS will contribute to this by delivering knowledge of the current state and future changes of the Atlantic marine ecosystems. We achieve this through a basin-wide approach integrating research from the North and South, that closes critical knowledge gaps in the Tropical and South Atlantic which impede an understanding of the entire basin. We bring together an interdisciplinary team of marine ecologists, physical oceanographers, climate researchers, and social scientists from 34 different institutions in Europe, Africa, and South America, together with multisectoral and regional stakeholders. We will enhance knowledge of the marine ecosystems in key areas of the Atlantic using existing and pivotal new (physical, biological, societal) observations. Earth system, ecological, and socio-economic models and observations will be used to assess the cumulative impacts of (climatic, pollution, and fishing) pressures driving fluctuations in the marine ecosystem, and the potential for tipping point behavior and regime shifts. We will develop the first predictions of the marine-ecosystem for the next 40 years for the whole Atlantic, by combining state-of-the-art climate prediction and ecosystem models, with Shared Socioeconomic Pathways, and by conducting socio-economic vulnerability assessments services, with stakeholder engagement. TRIATLAS will enhance capacity in marine ecosystems, oceanography, and climate research in countries bordering the South and Tropical Atlantic Ocean. There will be close cooperation and alignment with relevant European Commission services and the South-South Framework for Scientific and Technical Cooperation, as well as other relevant initiatives in the field. We will contribute to upscale cooperation around the Atlantic.
Giants through time:  towards a comprehensive giant planet climatology

Giant planets serve as natural laboratories to explore the processes shaping planetary climate.  The next five years will likely transform our understanding of the extreme environments of the outer Solar System, with the culmination of the Juno and Cassini missions to Jupiter and Saturn and the arrival of a new capability for ice giant science (James Webb Space Telescope, JWST).  GIANTCLIMES will capitalise on this chance of a generation by assembling the first comprehensive climatology of all four giants.  My programme will provide insights that no single mission can:  exploring atmospheric variability over long time spans using an unprecedented multi-decade archive of ground-based observations; new data from space telescopes and planetary missions; combined with world-leading spectral analysis techniques and interpretive models.  GIANTCLIMES consists of three objectives:

1. CLIMATE CYCLES: Assemble the first quasi-continuous record of Jovian climate over three decades to identify natural patterns of atmospheric variability to predict spectacular storm eruptions and global-scale transformations of its banded structure.
2. STRATOSPHERES: Explore the changing stratospheres of seasonal Saturn and non-seasonal Jupiter over long timescales to develop a new paradigm for the radiative, chemical and transport processes shaping these poorly-understood atmospheric regimes.
3. ICE GIANTS:  Provide the benchmark for understanding the fundamental differences between Ice Giant and Gas Giant climate via existing Spitzer and Herschel observations of Uranus and Neptune, and produce the highly-anticipated first spatial maps of their stratospheres using JWST.

These projects will explore planetary climates in all their guises, using comparative remote sensing studies to understand the forces defining their natural variability.  New insights and discoveries from GIANTCLIMES will reinforce my leading role in the next generation of ambitious missions to explore the giant planets.
Modulating brain structural plasticity versus neurodegeneration via a novel mechanism involving neurotrophins and dopamine, tolls and kek truncated-trk-like receptors in drosophila.

The aim of TOLKEDA is to test the hypothesis that a novel molecular mechanism linking neurotrophins, Tolls and truncated Trk-like receptors modulates structural brain plasticity vs. neurodegeneration. The brain changes throughout life: structural plasticity drives generation of neurites, neurons and synapses to adapt and learn; their elimination maintains homeostasis, but causes neurodegeneration in ageing and disease. Brain disease is the major health burden in Europe, costing more than cancer and cardiovascular diseases put together, and its incidence will grow as the population ages. It is imperative to discover novel molecular pathways that can be targeted to treat brain disease. The Principal Investigator (PI) Dr Alicia Hidalgo recently discovered a novel Drosophila neurotrophin (DNT) mechanism formed of neurotrophins, Toll and truncated-Trk-like receptors, and demonstrated that it underlies neuronal number and synaptic structural plasticity in larvae. Preliminary evidence shows that the DNT system operates in the adult brain, overlapping with dopaminergic neurons (DANs). Dopamine is a key neuromodulator, and degeneration of DANs underlies neurological and neurodegenerative diseases, such as Parkinson’s disease (PD). The Experienced Researcher (ER), Jun Sun, is an expert in the dopaminergic system and Drosophila PD models. The timely collaboration between PI and ER will provoke synergy to address effectively the following research objectives (ROs): RO1: to create a map of DNTs, Toll-6, Kek-6 and DANs in the adult brain, using gene editing technology and neural circuit registration. RO2: to test whether altering the functions of DNTs, Toll-6 and Kek-6 causes structural brain deficits, including in the dopaminergic system, and whether they are linked to behavioural deficits and neuronal activity. RO3: to test whether manipulating the DNT/Toll-6/Kek-6 signalling module in the dopaminergic system can promote neuroprotection in a Drosophila PD model.
Palace of Culture: Andrew Carnegie's Museums and Library in Pittsburgh

Andrew Carnegie is remembered as one of the world s great philanthropists. As a boy, he witnessed the benevolence of a businessman who lent his personal book collection to laborer s apprentices. That early experience inspired Carnegie to create the Free to the People Carnegie Library in 1895 in Pittsburgh, Pennsylvania. In 1896, he founded the Carnegie Institute, which included a music hall, art museum, and science museum. Carnegie deeply believed that education and culture could lift up the common man and should not be the sole province of the wealthy. Today, his Pittsburgh cultural institution encompasses a library, music hall, natural history museum, art museum, science center, the Andy Warhol Museum, and the Carnegie International art exhibition. In Palace of Culture,  Robert J. Gangewere presents the first history of a cultural conglomeration that has served millions of people since its inception and inspired the likes of August Wilson, Andy Warhol, and David McCullough. In this fascinating account, Gangewere details the political turmoil, budgetary constraints, and cultural tides that have influenced the caretakers and the collections along the way. He profiles the many benefactors, trustees, directors, and administrators who have stewarded the collections through the years. Gangewere provides individual histories of the library, music hall, museums, and science center, and describes the importance of each as an educational and research facility. Moreover, Palace of Culture documents the importance of cultural institutions to the citizens of large metropolitan areas. The Carnegie Library and Institute have inspired the creation of similar organizations in the United States and serve as models for museum systems throughout the world.
HEIGHT-ADJUSTABLE WASHBASIN

The invention relates to a device for washing body parts, in particular the hands and feet, composed of a supporting frame (2) having a washbasin (1) thereon that can be adjusted in height, associated with a drain and a water discharge fitting (5) disposed on a rear wall connected to the washbasin, and with an electric drive that can be operated by a controller that can be controlled by switches (3). In order to ensure that the washbasin always rests on the floor in the lowest position thereof, either directly or at least by means of front feet, regardless of the position and adjustment of the limit switch defining the lowest position of the washbasin, so that at least a large portion of the load of the washbasin does not have to be supported by the mounting element or the support frame, thus avoiding damage, the washbasin (1) is associated with a sensor (20) effective only during the lowering motion thereof, wherein said sensor contacts the floor (10) at a predefined distance, switches off a fast motion of the drive via the controller, and switches on a creep speed over the predefined distance.
EUROPEAN URBAN KNOWLEDGE
NETWORK-EUKN

The need for knowledge exchange in all relevant areas
of urban policy has been identified for quite some time
by Member States, European municipalities and the
European Commission.
The EUKN is to realize a sustainable and effective knowledge
network between European cities, urban researchers and
knowledge institutes in order to support policy-makers in
developing an effective urban policy.
The objective of this URBACT Working Group is focused
on the preparation of a pilot project which in its turn will
prepare the development of the European Urban Knowledge
Network (EUKN).
The main objective of the URBACT Working Group
is to prepare the EUKN pilot by:
1. establishing Focal Points in all participating Member
States
2. identifying the knowledge demand
3. developing protocols for the dissemination and validation
of relevant knowledge
4. developing the technical architecture of the knowledge
network (web portal)
5. launching a test-case website
6. developing a communication/marketing strategy
Epigenetics in plant breeding

Current farming technology and advanced techniques of plant breeding are tending to enable high yields and cropping intensity, trying to alleviate the limitations of available arable land. However, rise in global population and climate changes could strain the ability to provide a stable food supply. Genetic diversity, which might be used for development of new, more resilient cultivars, could be a key for achieving better performance in agricultural production. New findings about how genes work and express, including the principles of epigenetics, could allow the advancements in breeding methods, and provide a new source of variability originating from epialleles. This paper provides a synopsis of the most significant epigenetic modifications, and particularities of plant species that impact epigenetic mechanisms, although it is mainly focused on application of epigenetics on plant breeding. Epigenetic aspects of breeding are described for increased yield in Brassica napus due to recursive selection for an epigenetic compound. Future application might be based on epigenetic recombinant inbred lines, similar to those in Arabidopsis thaliana, inhibition of DNA methylation in Oryza sativa, discovery of MSH1 system in Glycine max and Solanum lycopersicon. It also outlines the current issues and limitations of epigenetic breeding such as a lack of understanding of epigenetic mechanisms, interaction of epigenetic and stress responsive mechanisms, and the development of statistical models able to predict the impact and outcome of epigenetic modifications.
The Optimal Version of Hua's Fundamental Theorem of Geometry of Rectangular Matrices

Hua's fundamental theorem of geometry of matrices describes the general form of bijective maps on the space of all mi?½n matrices over a division ring D which preserve adjacency in both directions. Motivated by several applications the author studies a long standing open problem of possible improvements. There are three natural questions. Can we replace the assumption of preserving adjacency in both directions by the weaker assumption of preserving adjacency in one direction only and still get the same conclusion? Can we relax the bijectivity assumption? Can we obtain an analogous result for maps acting between the spaces of rectangular matrices of different sizes? A division ring is said to be EAS if it is not isomorphic to any proper subring. For matrices over EAS division rings the author solves all three problems simultaneously, thus obtaining the optimal version of Hua's theorem. In the case of general division rings he gets such an optimal result only for square matrices and gives examples showing that it cannot be extended to the non-square case.
SEMICONDUCTOR DEVICE AND METHODS FOR MANUFACTURING THE SAME

A semiconductor device includes a stacked film, a plurality of plugs, and a columnar portion. The stacked film includes a plurality of electrodes, which includes a first electrode, and a plurality of first insulating films alternately stacked in a first direction. The plurality of plugs extends through the stacked film in the first direction. The plurality of plugs includes a first plug electrically connected to the first electrode. The columnar portion extends through the stacked film in the first direction. The columnar portion includes a charge storage layer and a semiconductor layer. The first electrode includes a metal layer and the first plug includes a metal layer that is integrally formed with the metal layer of the first electrode and formed of a same material as a material of the metal layer of the first electrode.
Whipple procedure: a review of a 7-year clinical experience in a referral center for hepatobiliary and pancreas diseases

Pancreatic cancer is generally found in the older population Pancreaticoduodenectomy seems to be the only way in resolving these resectable tumors. Allen. O Whipple was the first to describe pancreaticoduodenectomy in 1935 as a modified procedure. This article is a case series with respect to the 7-year experience of the Whipple procedure in Firoozgar Teaching Hospital.Patient surgery details were gathered from the surgical records of the operating room and their clinical records from the hospital archives. Data was analyzed with SPSS software (version 16.0.1). Those patients, whose tumor had invaded the superior mesenteric artery, had extensive portal vein involvement or distant metastasis was considered as unresectable.The first Whipple procedure was recorded in our hospital in 2008. From 2008 till 20 March 2014, 70 cases were collected and analyzed. The mean age of cases was 58.4 years, the mean hospital stay length was 12.9 days (±6.23 days), mean operation time was 376 min (±37.3 min),. The most common presenting symptom was jaundice (78.6 %). Delayed gastric emptying was the most common post-operative complication. The most prevalent cause of reoperation was intra-abdominal abscess. Major morbidities of these patients consisted of cardiac arrhythmias (21.4%) and pneumonia (10%). Minor complications were wound infection (17.1%) and delayed gastric emptying (32.9%). The statistics revealed pancreatic anastomosis failure as 2.9% and a decrease in mortality rate from 50% during the first years of this study to 16% to 20% during the last years.In this case series, the time of operation decreased during the recent years .Analysis shows a correlation between operation time and pack cell transfused during the operation, but no correlation was found between operation time and post-operation hospitalization course. It is true that hospital setting, socioeconomic level of the patients including their compliance, and the expertise of the surgeons and surgical staff can have an influence on the result of this operation, but it seems that the magnitude of the surgical stress of this procedure and the (compromised) functional reserve of this patient population can be a notable factor influencing the outcome.
Military HF communications considering unintentional platform-generated electromagnetic interference

High Frequency (HF) communications are of vital importance for modern military operations. It has the potential to move voice and data communications around the world by bouncing signals off the ionosphere, and at a fraction of the cost of heavily burdened satellite communication frequencies. However, HF-channels are touchy, unpredictable and prone to noise, fading, jamming and interference. Therefore, a number of prediction tools for channel selection have been developed. However, existing tools do not consider the local actual electromagnetic interference at receivers located on navy and army platforms. In this paper we propose a method to include this local electromagnetic interference in the frequency selection and we show how this method can improve the communication performance significantly. We also show that the consideration of local interference in combination with new wideband HF applications creates new challenges for power allocation and we show that the common water-filling solution is not always optimal with respect to data capacity in the system.
Criteria for model selection in model-based clustering

Model-based clustering, or finite mixture models, are important classification methods, and wide range of theoretical and applied researches have been made. One of the most useful advantages of these methods are the applicability of model selection criteria for choosing the number of clusters, selecting variables, selecting structure of model parameters and so on. One might use some basic information criteria, e.g., AIC or BIC. However, regularity conditions for deriving these criteria do not hold in finite mixture -- these are called models -- and these criteria do not have theoretical justification at all. In this study, we compare the performance of WAIC and WBIC, information criteria applicable for singular models, with the basic criteria numerically in some problem of the model-based clustering.
An intelligent multiple models based predictive control scheme with its application to industrial tubular heat exchanger system

The purpose of this paper is to deal with a novel intelligent predictive control scheme using the multiple models strategy with its application to an industrial tubular heat exchanger system. The main idea of the strategy proposed here is to represent the operating environments of the system, which have a wide range of variation in the span of time by several local explicit linear models. In line with this strategy, the well-known linear generalized predictive control (LGPC) schemes are initially designed corresponding to each one of the linear models of the system. After that, the best model of the system and the LGPC control action are precisely identified, at each instant of time, by an intelligent decision maker scheme (IDMS), which is playing the so important role in realizing the finalized control action for the system. In such a case, as soon as each model could be identified as the best model, the adaptive algorithm is implemented on the both chosen model and the corresponding predictive control schemes. In conclusion, for having a good tracking performance, the predictive control action is instantly updated and is also applied to the system, at each instant of time. In order to demonstrate the effectiveness of the proposed approach, simulations are carried out and the results are compared with those obtained using a nonlinear GPC (NLGPC) scheme as a benchmark approach realized based on the Wiener model of the system. In agreement with these results, the validity of the proposed control scheme can tangibly be verified.
Seals and fisheries coexisting sustainably

Interactions between seals and the fishing industry occur globally, with depredation – the full or part removal of fish from nets by seals, leading to significant conflict. Fishers suffer economic losses due to loss of catch, gear damage and time spent disentangling damaged fish/by-caught seals, while ecological impacts can include seal mortality (by-catch and/or authorised/illegal killing), alongside changes in animal behaviour (e.g. seals may become reliant on artificial food sources). In recent years, conflicts have escalated substantially, and an effective and pragmatic solution to the issue is urgently required.  Using an area of high seal-fishery conflict across south-west Ireland as a case study, SEAFICS combines stakeholder engagement, method development, the application of emerging technologies, and advanced statistical analyses, to assess interactions between seals and fisheries, and minimise conflicts through the development of effective mitigation. This will be achieved by addressing 4 research objectives: (1) the assessment of the perceived extent and impact of seal depredation via interviews and survey questionnaires with fishers, (2) the quantification of depredation at fishing nets through the development and application of a novel method that uses accelerometers to detect sub-surface hidden depredation events (which in past assessments have been unaccounted for), (3) the mitigation of seal depredation by applying newly developed targeted acoustic deterrent technology and assessing its effectiveness, and (4) the assessment of fisher views on the mitigation system and its practical use. During the implementation of SEAFICS, a tailored training program will develop & strengthen the applying researcher’s expertise & skills, such that future independence and career prospects in applied research are enhanced. The innovative and timely research of SEAFICS will address pressing socio-economic & conservation issues both across Europe and globally.
Hepatitis C virus genotype 1: How genetic variability of the core protein affects the response to pegylated-interferon and ribavirin therapy

Hepatitis C virus subgenotypes 1a and 1b are found worldwide and cause 60% of all hepatitis C cases. It has been reported recently that viral genetic variations have a critical impact on the patient treatment outcome. In particular, polymorphisms of the HCV core protein have been linked to poor treatment response. However, most of these studies were conducted on Asian populations, Japanese in particular who are infected with HCV subgenotype 1b. Hence, we aimed in this study to examine the core protein polymorphisms in Saudi patients who are infected with chronic HCV genotype 1 (1a and 1b subtypes) and its association with treatment outcome. Direct sequencing of full-length core protein and data mining analyses were utilized. Results have shown that the response to treatment is dependent on subgenotypes. Indeed, HCV-1b showed different point mutations that are associated with treatment outcome where the point mutations at positions 70 (Arg(70) Gln) and 75 (Thr(75) Ala) in HCV-1b are significantly associated with PEG-IFN/RBV treatment response. In contrast, HCV-1a showed no significant association between core protein mutations and response to treatment. In addition, analyses of HCV-1a core protein sequences revealed a highly conserved region especially in the responder group. This study provides a new insight in the genetic variability of full-length core protein in HCV genotype 1 in Saudi infected patients.
Amazonas no epicentro da pandemia de COVID-19 uma revisao sistemática / Amazon at the epicenter of the COVID-19 pandemic a systematic review

O trabalho resulta de investigação que buscou compreender o contexto da pandemia no Estado do Amazonas sob os impactos que o novo coronavírus provocou na vida das populações locais bem como a tomada de decisão de gestores e legisladores para o combate à pandemia.Foi utilizada a pesquisa documental cujas fontes de