SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Centre for new methods in computational diagnostics and personalised therapy

Kraków educates a large number of medical and IT professionals; its research hospitals are well recognised in the scientific community. Furthermore, the local entrepreneurial sector, with a significant number of life science companies, is steadily growing. In light of this evolution we propose to establish the Centre of Excellence for New Methods in Computational Diagnostics and Personalised Therapy.
The Centre's mission comprises development of new computation-based solutions for diagnostics and therapy in daily healthcare to improve personalised patient treatment, enhanced growth of SMEs which deal with technologies and services for novel personalised diagnostics and treatment strategies, as well as strong advancement of algorithms, models and technologies involved in personalised medicine.
The project aims to develop a Business Plan establishing the Centre and enabling it to operate in such a way as to achieve measurable success through introduction of a certain number of solutions based on computational models to clinical trials, development of a number of new market-ready products and services based on innovations, authoring highly cited scientific papers, obtaining patents and securing grants.
The Plan will be based on the Polish Specialisation Strategy and will be elaborated by two Polish partners: Cyfronet AGH (experts in simulation and computing infrastructures for science) and Klaster LifeScience Kraków (top cluster of industry, academia and hospitals in the life sciences domain), in collaboration with the University of Sheffield and Insigneo Institute (experts in translation of in-silico modelling and simulations to clinics), Forschungszentrum Jülich (experts in innovative HPC and data techniques for science and industry) and Fraunhofer ISI (experts in systemic multi-domain solutions and innovation in medicine).
Planning and operational tools for optimising energy flows and synergies between energy networks

The future electricity generation mix evolution, EU projects 97% generation from variable RES by 2050, will render current solutions for grid balancing and stability insufficient. Intermittent generation will require extensive electricity demand flexibility - beyond conventional solutions - to alleviate the unpredictable grid stresses in high VRES times. This flexibility cannot only come from electricity end-uses, the volatility and variability of RES generation is too high. Energy system decarbonisation will necessitate the use of novel conversion and storage in alternative energy carriers and their networks to achieve the avoidance of RES generation curtailment.
The PLANET aim is to design and develop a holistic Decision Support System for grid operational planning and management in order to explore, identify, evaluate and quantitatively assess optimal strategies to deploy, integrate and operate conversion/storage systems on the distribution grid of several energy carriers within boundary constraints of real deployments outlined in the future energy system scenarios. Such tools are crucial for policy makers and network operators who need support in decision making process.
The simulation of the integration between electricity, gas and heat networks models, together with conversion/storage technologies models for power-to-gas, power-to-heat and virtual thermal energy storage, will help to understand and quantify how these conversions can affect network stability, reliability and responsiveness as well as to optimize these metrics across networks.
The PLANET tools will be demonstrated and validated using information from the actual premises and customers of two distribution network operators in Italy and France. They manage electricity, natural gas and district heating networks, hence they provide a solid testbed corresponding to real-world solution deployments to evaluate the actual benefits of PLANET solutions.
MUSCLE TARGETING COMPLEXES AND USES THEREOF FOR TREATING FRIEDREICH'S ATAXIA

The present application relates to oligonucleotides (e.g., antisense oligonucleotides such as gapmers) designed to target FXN RNAs and targeting complexes for delivering the oligonucleotides to cells (e.g., muscle cells) and uses thereof, particularly uses relating to treatment of disease. In some embodiments, the muscle-targeting agent specifically binds to an internalizing cell surface receptor on muscle cells. In some embodiments, the molecular payload increases expression or activity of a FXN allele comprising a disease-associated- repeat.
A comprehensive insight into bacterial virulence in drinking water using 454 pyrosequencing and Illumina high-throughput sequencing

In order to comprehensively investigate bacterial virulence in drinking water, 454 pyrosequencing and Illumina high-throughput sequencing were used to detect potential pathogenic bacteria and virulence factors (VFs) in a full-scale drinking water treatment and distribution system. 16S rRNA gene pyrosequencing revealed high bacterial diversity in the drinking water (441-586 operational taxonomic units). Bacterial diversity decreased after chlorine disinfection, but increased after pipeline distribution. α-Proteobacteria was the most dominant taxonomic class. Alignment against the established pathogen database showed that several types of putative pathogens were present in the drinking water and Pseudomonas aeruginosa had the highest abundance (over 11‰ of total sequencing reads). Many pathogens disappeared after chlorine disinfection, but P. aeruginosa and Leptospira interrogans were still detected in the tap water. High-throughput sequencing revealed prevalence of various pathogenicity islands and virulence proteins in the drinking water, and translocases, transposons, Clp proteases and flagellar motor switch proteins were the predominant VFs. Both diversity and abundance of the detectable VFs increased after the chlorination, and decreased after the pipeline distribution. This study indicates that joint use of 454 pyrosequencing and Illumina sequencing can comprehensively characterize environmental pathogenesis, and several types of putative pathogens and various VFs are prevalent in drinking water.
The Role of Bipartition Distraction in the Treatment of Apert Syndrome

Apert syndrome is characterized by hypertelorism, a negative canthal axis, and central midfacial hypoplasia, resulting in a biconcave face. Bipartition distraction partially corrects these facial anomalies. This study investigates limitations of bipartition distraction using linear, angular, and geometric morphometric analysis. Preoperative and postoperative three-dimensional computed tomographic craniofacial constructs of 10 patients with Apert syndrome (aged 12 to 21 years) were annotated with 98 landmarks. Twelve age-, sex, and ethnicity-matched normal skulls provided control data. Principal component analysis was used to analyze shape characteristics within and between the groups and describe the changes occurring with surgery. Results were displayed graphically using difference color maps. Conventional point-based measurements documented midfacial width, height, and asymmetry. Apert three-dimensional constructs exhibited reduced upper midfacial height and greater extrinsic symmetric variation relative to controls. Facial bipartition partially corrected excessive midfacial width and interorbital distance but did not adequately correct deficient upper midfacial height. Excessive orbital diameter was unaltered by surgery. There was no demonstrable effect on intrinsic or extrinsic midfacial asymmetry. Principal component analysis demonstrated improved midfacial projection and correction of central biconcavity. Bipartition distraction corrects midfacial retrusion, exorbitism, and hypertelorism. It does not treat midfacial height disproportion or correct orbital shape. It leaves the face too wide at the zygomatic level and does not correct facial asymmetry. Although bipartition distraction is an improvement on the unmodified monobloc advancement, further refinements are needed to fully correct Apert dysmorphology.
Optimizing physical parameters in 1-D particle-in-cell simulations with Python

Abstract A particle-in-cell (PIC) simulation tool, OOPD1, is wrapped in the Python programming language, enabling automated algorithmic optimization of physical and numerical parameters. The Python-based environment exposes internal variables, enabling modification of simulation parameters, as well as run-time generation of new diagnostics based on calculations with internal data. For problems requiring an iterative optimization approach, this enables a programmable interactive feedback loop style simulation model, where the input to one simulation is a programmable function of the output of the previous one. This approach is applied to field-emission of electrons in a diode, in order to explore space charge effects in bipolar flow. We find an analytical solution for maximizing the space-charge limited current through a diode with an upstream ion current, and confirm the result with simulations, demonstrating the efficacy of the feedback scheme. We also demonstrate and analyze a modeling approach for scaling the ion mass, which can shorten simulation time without changing the ultimate result. The methods presented can be generalized to handle other applications where it is desirable to evolve simulation parameters based on algorithmic results from the simulation, including models in which physical or numerical parameter tuning is used to converge or optimize a system in one or more variables.
Senescence therapy for cancer

Systemic treatment of advanced cancers is hampered by the development of drug resistance. To prevent resistance, my laboratory has in the past used functional genetic screens to discover several “synthetic lethal” drug combination therapies, which has resulted in 8 clinical trials to date, including one global phase 3 study. In this program, I propose a new approach to the treatment of cancer, which is not based on combinations of drugs, but rather on the sequential treatment with drugs. In a first treatment step, cells will not only be induced to stop dividing, but they will at the same time acquire a major new vulnerability that is subsequently targeted with a second drug that selectively kills cells having the newly acquired vulnerability. To accomplish this, we will take advantage of recent observations that the cellular senescence response is not only a property of primary cells, but can also be triggered in advanced cancers. Such senescent cells have dramatic changes in gene expression, chromatin structure and metabolism that we will exploit for their selective eradication.
Using chemical compound libraries and loss-of-function genetic screens in cancer cells harboring a reporter gene that is activated selectively in senescent cells, we will search for genes and compounds that induce senescence in cancer cells. This will lead to the identification of compounds and/or signaling pathways whose inhibition induces senescence in cancer cells. We will also use chemical compound screens to find tools to selectively kill senescent cancer cells. We will use the targets and compounds identified in this program to test the in vivo efficacy of this “one-two punch” consecutive therapy approach: the first to induce senescence in cancer cells, the subsequent therapy to eradicate the senescent cells. We present here preliminary data that the concept of sequential drug treatment can be effective, which serves as an important proof of concept for the strategy proposed here.
Improving Irrigation Management

The best estimates of crop water use result from direct measurement, but this is not always feasible on large scale. The next most accurate approach would be one which integrates our understanding of the soil-plant-atmosphere continuum as mechanically as possible. The Soil Water Balance (SWB) model is a mechanistic, real-time, generic crop, soil water balance, irrigation scheduling model. SWB gives a detailed description of the soil-plant-atmosphere continuum, making use of weather, soil and crop management data. Traditional irrigation was practiced in Ethiopia since time immemorial. Despite this, water productivity in the sector remained low. At Godino, farmers use the same water amount and interval, regardless of crop species and growth stage. In an effort to improve this, two of the traditional irrigation scheduling methods was compared with two more scientific methods, using furrow irrigation. The growth performance and tuber yield of potato cv. Awash revealed that irrigation scheduling using a neutron probe (NP) significantly outperformed the traditional methods, followed by SWB model irrigation calendar. Since NP involves high cost and skills to use, SWB is preferred.
Saridas: saratoga integrated dental simulation platform

Dental departments are losing clinical faculty to private practice as it is a more lucrative option. The effect of the loss of dental faculty requires dental institutes to find ways to meet the student needs during practicals. Saratoga S.p.A is a company that was established in 1973 that manufactures dental equipment, furniture as well as dental educational tools and systems. Saratoga has developed SARIDAS which is a computerised, dental artificial intelligence-based platform that responds to the challenges faced by dental students and clinical faculty. SARIDAS consists of four components. It contains a smart dental simulator that has a phantom head in which oral diseases are replicated for the student to practice treatment procedures. It also possesses an interactive tool that transmits images, videos and audio between workstations allowing for communication between a student and the instructor. The third component is an augmented reality unit which tracks the handpiece in the mannequin’s oral cavity and provides highly accurate assessment of student’s work. The last component is an artificial intelligence software ‘brain’ that interconnects the above 3 components and also contains a database in which clinical data about different oral conditions and the methods of treatment can be stored for use by the students. The smart brain component provides predictive technology and offers guidance to students on how to treat diseases that they have not yet encountered in the classroom. Our system provides unlimited practice from multiple pre-recorded dental exercises and the database provides students with access to international pathology data. SARIDAS offers instant feedback for correction where students would otherwise only be able to practice when the instructor is available. Our system allows for self-determined learning which is key for student success.
Using existing methods to develop a modular, integrated and autonomous ‘factory-in-a-box’ production line for manufacturing high volumes of flexible integrated logic circuits

We are Pragmatic Printing Ltd; we are pioneering the innovation in the field of flexible printed electronics. We are recognised by global firm ARM HOLDINGS for our disruptive and compelling solution for embedded connectivity in everyday objects. Our ‘flexICs’ are revolutionary integrated circuits manufactured on organic (plastic) substrates (instead of silicon) through our novel processes. Our flexICs are; thinner than a human hair; ultra-flexible; offered in flattering form factors and footprints that conventional silicon cannot achieve. Our processes allow flexICs to be produced on a large scale at a low cost; the marginal cost per IC in volume production can be <€0.01. Being silicon-free can bring many new potential applications. The flexible and visually unobtrusive flexICs are ideal to be integrated onto goods packaging, controlled documents and the like. Given the exponential growth in the demand for the ‘Internet of Things’ connectivity, our flexICs are ideal to fulfil the demand in a cost effective manner. In order to facilitate this demand, we want to empower packaging printers and manufacturers with the integrated ability to produce these ICs at the point of packaging manufacture and integration. There is a strong documented need and market demand pull from market leading companies such as Crown Packaging, Cartamundi, Molex and Smartrac and others for an integrated solution for the manufacture of flexICs onsite. We wish to take our existing production processes, and package them in an automated, modular and integrated self-contained ‘factory in a box’. This FlexLogIC plant will allow packagers to manufacture ICs onsite in an efficient and effective way. The FlexLogIC plants will help us to achieve our objective of generating €70 million turnover in year 5 post project. We are the only ones currently that have the ability to supply a self-contained, autonomous ‘factory in a box’ to facilitate the high volume manufacture of flexible printed ICs.
Patient-Specific tumour growth model for quantification of mechanical 'markers' in malignant gliomas: implications for treatment outcomes.

Gliomas are the most frequent primary brain tumours in adults (70%) with  Glioblastoma multiforme (GBM) being the most frequent and most malignant sub-type (about 50%). Their growth is characterised by infiltration of surrounding healthy tissue, rapid proliferation, and the formation of a necrotic core. GBM growth often creates biomechanical forces that cause compression and displacement of the surrounding brain tissue. This mass-effect is of direct clinical importance; it correlates to functional loss and pressure-induced brain herniation is the leading cause of death for 73% of patients, however this is not used to inform treament. Overall long term prognosis for GBM remains poor, with median overall-survival below 1.5 years and 5-y survival rates below 3%.

We hypothesize that  biomechanical Glioma “phenotypes” can be distinguished by mathematical models that estimate the forces that produce tissue displacement. Forces building up as a result of tumour growth might alter the behaviour of cancer cells and can reduce blood perfusion by compressing intra-tumoral blood vessels thus affecting drug delivery. We therefore expect that biomechanical factors may have direct implications not only on the biophysical level, but also for clinical decision making, affecting treatment response and outcome.

This project seeks to understand the role of biomechanics in the formation of different GBM phenotypes, and to identify “biomechanical markers” that can be used to inform clinical decision making for individual patients.
A mathematical model of tumour growth and biomechanical tumour/healthy tissue interaction will be developed and characterised in a multi-step validation procedure. This model will be tested with clinical data and may allow for characterisation of the biomechanical fingerprint of individual patients. Its impact on treatment outcomes will be investigated in in silico studies with clinical data.
Study on Development Orientation and Priorities of the Central Government-Owned Power Enterprises During 12~(th) Five-Year Plan Period

The period of the 12th Five-Year Plan(2011-2015) is an important strategic period of opportunities for economic and social development of China during which both the economy and the energy sector will enter a new era of development.In response to this new situation,the central government-owned power enterprises,which form an important sector for the national economy and the people's livelihood,will define a clear development orientation to further exert forces of control,driving and influence in the industry's development.By deeply studying the status quo of the enterprises and the environment for development,the paper presents the development orientation and priorities of the central government-owned power enterprises during the period of the 12th Five-Year Plan.
New Potassium Binders for the Treatment of Hyperkalemia

Hyperkalemia is a clinical problem with potential mechanisms ranging from increased cellular potassium release (eg, pseudohyperkalemia, metabolic acidosis) to reduced potassium excretion (eg, reduced responsiveness to aldosterone, reduced aldosterone secretion, reduced distal sodium, and water delivery).1,2 Patients with chronic kidney disease (CKD), defined as an estimated glomerular filtration rate (eGFR) <45 mL/min per 1.73 m2, are at increased risk of hyperkalemia, resulting from ≥1 of these mechanisms.3 Renin–angiotensin–aldosterone system inhibitors (RAASis) are recommended by guidelines for lowering blood pressure, slowing CKD progression in patients with CKD,4,5 and reducing cardiovascular mortality and heart failure hospitalizations in patients with heart failure and a reduced ejection fraction,6,7 but these drugs compound the hyperkalemia risk.1,8–10 The risk is magnified when the drugs are used in combination (eg, aliskiren in combination with ACE inhibitors or angiotensin receptor blockers;8,11 mineralocorticoid receptor antagonists in combination with ACE inhibitors or angiotensin receptor blockers). Moreover, the risk for hyperkalemia is magnified in diseases, such as diabetes mellitus and heart failure.4,5,12,13 The occurrence or fear of inducing hyperkalemia has led to premature discontinuation, suboptimal dosing, and often failure to use an RAASi, thereby exposing patients to increased cardiovascular risk.

Current treatment approaches for chronic hyperkalemia are limited. Options for the management of hyperkalemia include discontinuation or reduced doses of RAASi, administration of loop diuretics, dietary potassium restriction, or sodium polystyrene sulfonate.14 None of these approaches are optimal because they require withholding life-saving or kidney preserving therapy (ie, RAASi), have a low rate of patient adherence (eg, dietary restriction), or have an unfavorable adverse effect profile and low tolerability (ie, sodium polystyrene sulfonate).15

New agents to treat hyperkalemia are in the late …
Synthetic foam composite panel and process and apparatus for its production

The invention discloses a synthetic foam composite panel having different layers of synthetic foam for heat insulation and for sound insulation and also a skin arrangement, adhering on the synthetic foam, for water conduction and as a vapour diffusion barrier. In this case, the following features are provided in particular: The composite panel has three separate synthetic foam layers; the two outer layers (1, 3) are of the heat-insulating synthetic foam and adhesively bear on their outside, on one side in each case, a skin (7, 9); the skin arranged on the weathering side is in this case of a material suitable for water drainage and the skin arranged on the building interior side is of a material acting as a diffusion barrier; the sound-insulating synthetic-foam layer (5) is in this case located with adhesive foam-to-foam contact between the two heat-insulating synthetic-foam layers (Fig. 1). Further features provide in particular that the heat-insulating synthetic-foam layers are of polyurethane foam and that the sound-insulating synthetic-foam layer consists of an expanded polyurethane/rubber composition. <IMAGE>
Mobile communication system, radio base station, mobile station, channel transmission control method, and channel transmission control program

In amobile communication system 1 having a radio base station 2, and mobile stations 5, 6 configured to communicate with the base station 2 and segmented into a plurality of mobile station groups, the base station 5 provides a broadcast channel with first instruction information to notify the mobile station 5 of whether or not to receive the broadcast channel, provides a paging channel with second instruction information to notify the mobile station 5 of the presence/absence of paging information, and performs such a channel transmission control as to intermittently transmit the broadcast channel and the paging channel on a control channel.