SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
From machines to smart systems: cloud-based iot for lift modernization and predictive maintenance

Used every day, the lifts provide an essential means of fast, safe and comfortable access to different floors in buildings. The installation of lifts in new or existing buildings has an increasingly important role to play in an ageing society and as a growing population is moving to cities. In the city of the future, the most important transportation system will not be cars, buses, subways, or even futuristic monorails, it will be the lift! 
Europe counts today more than 5.85 million lifts in service. Around 70% of them were installed before 1999 and they do not assure the highest safety levels currently expected, which means that fatal accidents still occur in the EU. Moreover, lifts are a major capital investment for building owners and managers. Current maintenance procedures are based on periodic inspections which, despite the number of visits, produce poor results in terms of performance (MTTR and MTBF) and uptime, implying high maintenance costs and low effectivity. 
The combination of old systems and poor maintenance models is holding back the EU lift market. The lack of data impedes the optimization of maintenance models. Leveraging digital technologies such as IoT (Internet of Things) to extract data out of connected lifts can solve this problem. 

Our company IOTTY is an Italian start-up fully aware of the importance of using the Internet of Things in the lift industry to anticipate equipment failures and respond more quickly to critical situations. Addressing the concern of lift manufacturers, maintenance companies, building owners and insurers, we present e-BlueBox, an innovative tool for lift modernization that leverages the IoT to reach higher standards of safety and implement predictive maintenance. With clear benefits (-25-30% accidents, -10-40% maintenance costs, equipment downtime reduced by 50%), e-BlueBox will allow IOTTY to grow sustainably, capturing €29.6 million revenues in its first 4 years of commercialization.
PEPTIDE CONSTRUCTS COMBINED WITH STATIN DRUGS AND USE THEREOF

This application is directed to compositions comprising of isolated aggregated peptide constructs that are formulated with inhibitors of 3-hydroxy-3-methylglutaryl coenzyme A reductase commonly known as statins as well as methods of treating sepsis, FOXO1 related diseases, and other disorders, for improved efficacy and toxicity profile as compared to naked drug.
Experiment in Newcomer Integration

The Project proposal aims at fostering the successful integration of refugees and immigrants at a community level.Four principles underlie the project’s approach to integration:- New Europeans should be involved significantly in decision-making processes;- Integration is a two-way process that implicates and benefits both newcomers and receiving community members;-Local Coalitions are among the vehicles that can foster effective and meaningful collaborations in order to tackle the numerous challenges and opportunities associated with socio-economic, cultural and demographic change. - Resources should be devoted to integration-focused interventions, as well as to coalition building and training opportunities, which lead to systemic change.Project will focus on local coalition and group of association. Assistance to local group and association of refugees and migration, especially in new EU member state is one of the main aspects of the project activities.
Fluorescence detection of single nucleotide polymorphisms using nucleic acid probe containing tricyclic base-linked acyclonucleoside

A reliable and simple method for detecting nucleobase mutations is very important clinically because sequence variations in human DNA cause genetic diseases and genetically influenced traits. A majority of sequence variations are attributed to single nucleotide polymorphisms (SNPs). Here, we developed a method for SNP detection using DNA probes that contained a fluorescent tricyclic base-linked acyclonucleoside N. The type of nucleobases involved in the SNP sites in an RNA target could be determined using four DNA probes containing N. Further, we found that the SNP in the RNA target could be detected by a visible color. Thus, this system would provide a novel and simple method for detecting SNPs in an RNA target.
Does Conflict Content Affect Learning from Simulations? A Cross-National Inquiry into the Israeli-Palestinian and Guatemalan Conflict Scenarios

It is important to find out whether the content of a simulation has any effect on learning, whether students learn better when the simulation is about a conflict they directly experience as opposed to a conflict they have hardly heard about, and whether learning about a specific conflict changes from one identity group to another. In this article, we address these questions in a five-group experimental study, with direct parties to the conflict (Israeli-Jewish, Palestinian, and Guatemalan), third/secondary parties to the conflict (Turkish, American, and Brazilian), and distant parties to the conflict. Our results indicate that learning varies not only from one group to the other, but also with the salience of the conflict. While the simulations increase the level of knowledge about that particular conflict in almost all situations, when attitude change is concerned, the effects diversify from one group to the other.
Simulation-Driven and on-line condition monitoring with applications to aerospace

The proposed project aims at combining advanced numerical techniques for the modeling of damage to Structural Health Monitoring (SHM) methods to provide tools for the on-line detection of damage in aircraft structures. Two cases will be considered: the detection of damage in advanced stages in operating conditions and the detection of damage in early stages in parked conditions. The extended finite element method (XFEM) along with model order reduction (MOR) techniques will be employed for the modeling of damage while detection process will be based on vibration measurements. For the in-flight detection case the operating loads will be estimated as well. The developed tools will be tested initially in simulated damage detection scenarios and subsequently in experimental setups.
Novel, highly effective and selective anticancer metallodrugs

Dr. Leila Tabrizi, an Iranian national, is making an application to this programme to carry out a 24 months project in the area of medicinal chemistry in the group of Dr. A. Erxleben at the National University of Ireland, Galway.
The objective of this proposal is the synthesis of novel gold anticancer drugs that simultaneously target two mitochondrial proteins that are associated with cancer progression. Gold(III) complexes will be designed that recognize the translocator protein which is overexpressed in various tumour types and that release the metal upon intracellular reduction to gold(I), a known inhibitor of thioredoxin reductase. Binding of the carrier ligand to the translocator protein and inhibition of thioredoxin reductase will induce cell death pathways in a synergistic manner, thus leading to highly effective and selective anticancer action. Detailed in vitro biological studies will be performed to evaluate the potential of the new anticancer drug candidates, to establish structure-activity relationships and to fully understand their mode of action.   
The researcher has already an excellent background in coordination chemistry and this project will allow her to deepen and expand her skills in synthetic chemistry, to enter into the biological field by receiving relevant training in cell and biological techniques and to establish important academic and industrial collaborations.
The researcher who has recently been awarded a Government of Ireland Postdoctoral Fellowship proposes to carry out further research training at NUI Galway which is strategically developing strength in Biomedical Research and Cancer, one of the most important and challenging branches of Chemistry/Biochemistry in Europe. NUI Galway will also provide training in transferable skills and mentoring to the researcher. Both the scientific and personal training will contribute to her personal development and will allow her to reach professional maturity as an independent researcher.
Evaluation of the natural perinatal transmission of bovine leukaemia virus

The perinatal transmission of bovine leukaemia virus (BLV) plays a critical role in the spread and persistence of BLV infection in cattle herds. The purpose of this study was to examine the frequency of perinatal infections in an area in Japan and investigate some risk factors associated with infection. Altogether, 129 calves born to BLV-infected cows in a herd in Japan were tested for infection immediately after birth and again at one month of age using nested PCR. Twenty-four calves (18.6 per cent) were infected with BLV, of which 14 (10.8 per cent) and 10 (7.7 per cent) calves were infected via the transplacental and the birth canal routes, respectively. Maternal viral loads, breed, the presence or absence of assistance during parturition and the number of births per dam were evaluated to investigate risk factors associated with infection. Maternal viral load was significantly correlated with the frequency of perinatal infection, and more than 40 per cent of newborn calves born to dams with high viral loads were infected with BLV. The results of this study could contribute towards developing effective eradication programmes by providing necessary data for replacement of breeding cow in the field.
Suppression of organelle defects in human disease

The goal of SOLID is the systematic mapping of genetic suppression for important organelles with impaired fidelity in human disease to uncover new strategies to correct the perturbed state. Functioning of the eukaryotic cell relies on the concerted activity of biological machines, defects in which can cause incurable human disease, including metabolic disorders and neurodegeneration. This is exemplified by malfunctioning mitochondria or lysosomes, for which (alongside environmental triggers) hundreds of causative genes have been identified, but cures are mostly lacking. This is mainly due to the difficulty of drugging loss-of-function mutations, which uniquely alter or entirely remove the gene product. Extensive studies in yeast and initial work in the human system show that cellular modules contain a substantial amount of hidden genetic suppression. Revealing suppressors of disease-defining features of organelle perturbation and targeting those instead of the query mutations, will address the frustrations of drugging an absent factor and etiological diversity. Until now, mutation-based genome-wide suppressor surveys were mostly limited to model organisms and phenotypes yielding growth defects, due to technical hurdles associated with recessive genetics in the human system. However, with the development of a groundbreaking new forward genetics platform that combines genome engineering, ultradeep haploid mutagenesis and direct stratification of fixed mutants, we can now, for the first time, interrogate genetic suppression of human organelle defects independent of cellular fitness. SOLID will also develop new technology to study organelle fidelity in an exhaustive fashion that departs from a gene-centric view point and captures complex phenotypes. Altogether, this will create a new paradigm of 'studying cell biology via genetics' widely applicable to many different biological questions, and reveal urgently needed novel therapeutic possibilities for incurable diseases.
STRIPPING PROCESS AND APPARATUS

A baffle-style stripping arrangement for an FCC process having substantially horizontal stripping baffles is disclosed. The stripping baffles comprise a perforated section and an imperforate section which generates transverse movement of catalyst across the baffle to ensure adequate vertical movement of stripping media. The perforated section is covered with stripping openings to provide improved stripping efficiency and catalyst flux through the stripping vessel. The perforated section may comprise a grate. Baffles may also include a downcomer section which is vertically aligned with an imperforate section of a subjacent baffle.
Manufacturing industry digital innovation hubs

VISION: By 2023, Europe will set the reference for the Industry 4.0 market: European CPS/IOT Open Digital Platforms providers will be able to flexibly and dynamically connect the Real World with digital Enterprise Systems through common open standards; European ICT SMEs will be growing fast through leadership in data-driven smart Industry 4.0 services; European Manufacturing SMEs will successfully compete globally with innovative products and services, digitised Industry 4.0 processes and innovative business models, involving their workforce at all levels in this Digital Transformation innovations.
MISSION. The MIDIH 4.0 project aims at implementing the fast, dynamic, borderless, disruptive side of the I4MS innovation coin: technological services (interactive try-on demos, webinars, challenges, hackathons and awards) will be driven by young and dynamic ICT talents virtually meeting older and experienced manufacturing engineers in a one-stop-shop global marketplace; business services (ideas incubation, business acceleration, demand-offer matchmaking and brokerage, access to finance) will support SMEs, startups, web entrepreneurs as well as corporates in the delivery of innovative products and services, in accessing new markets, in fund-raising; skills building services (serious and role games, participative lessons and webinars, virtual experiments in physical teaching factories, professional courses for existing technicians as well as for executives) will not only help SMEs and corporates understand the new technologies, but also take full advantage of them, providing an operational framework that will stimulate trust, confidence and investments.
The MIDIH project is an inclusive Innovation Action of 21 beneficiaries coming from 12 EU Countries, including, Competence  Centers, Digital Innovation Hubs, CPS/IOT Technology Providers as well as Lighthouse Manufacturing Industries. A two-iteration Open Call will help achieve a critical mass of cross-border experiments.
Additive noise removal using a novel fuzzy-based filter

The paper proposes a new fuzzy-based two-step filter for restoring images corrupted with additive noise. The goal of the first step is to compute the difference between the central pixel and its neighborhood in a selected window and to compute a fuzzy membership degree for each difference value using a Gaussian membership function. Computed fuzzy membership values are appropriately utilized as weights for each pixel and then computes the weighted average representing the modified value for the current central pixel. The second step is used as an augmented step to the first one and its goal is to improve the result obtained in the first step by reducing the noise in the color component differences without destroying the fine details of the image. The experimental analysis shows that the proposed method gives better results compared to existing advanced filters for additive noise reduction. Both visual, quantitative and qualitative analysis have been done to prove the efficiency and effectiveness of the proposed method.
Robust Computation through Percolation

This paper proposes a probabilistic framework for digital computation with lattices of nanoscale switches based on the mathematical phenomenon of percolation. With random connectivity, percolation gives rise to a sharp non-linearity in the probability of global connectivity as a function of the probability of local connectivity. This phenomenon is exploited to compute Boolean functions robustly in the presence of defects. It is shown that the margins, defined in terms of the steepness of the non-linearity, translate into the degree of defect tolerance. Achieving good margins entails a mapping problem. Given a target Boolean function, the problem is how to assign literals to regions of the lattice such that no diagonal paths of 1’s exist in any assignment that evaluates to 0. Assignments with such paths result in poor error margins due to stray, random connections that can form across the diagonal. A necessary and sufficient condition is formulated for a mapping strategy that preserves good margins: the top-to-bottom and left-to-right connectivity functions across the lattice must be dual functions. Based on lattice duality, an efficient algorithm to perform the mapping is proposed. The algorithm optimizes the lattice area while meeting prescribed worst-case margins. Its effectiveness is demonstrated on benchmark circuits.
North American winter‐spring storms: Modeling investigation on tropical Pacific sea surface temperature impacts

[1] An increased frequency and intensity of winter and spring storms have recently manifested over a broad area of North America—along the east coast of the U.S. especially, though global mean storm tracks are suggested to shift northward. To understand these changes, we have conducted atmospheric model experiments, examining the response of North American storm activity to the elevated tropical Pacific sea surface temperature (SST) associated with El Niño. The results indicate that, when tropical Pacific SST increases, there are more numerous intense storms over southwestern, southeastern, and northwestern North America, but fewer weaker storms over the northeast. Transient eddy analysis of the general circulation demonstrates consistent changes, suggesting systematic changes from large-scale general circulation to synoptic-scale storms. These changes can be attributed to enhanced lower tropospheric baroclinicity, to which the southward shift and an intensification of extratropical jet streams make a major contribution.
Tragedy of macbeth: Overambition to fiasco

Shakespeare’s Macbeth hinges on the theme of how insatiable and indomitable thirst for power inevitably culminates in the destruction of the eponymous hero who despite his villainous action and treacherous deed captures the readers’ admiration for his mental anguish due to constant wavering between spurs of ambition and the stings of compunction. Forced to commit a series of heinous crimes under the spell of equivocal prediction and vaulting ambition, Macbeth all throughout his life has been haunted by a terrible sense of guilt and has failed to taste the glory of kingship. Inspite of his perfidy to King Duncan and treason to Banquo, Macbeth can neither be ascribed as a cold-blooded murderer nor does his suffering produce the effect of poetic justice. Instead, his spiritual torment, feelings of stark disillusionment, apathetic attitude towards life and profound sorrow at the loss of moral values contribute to his tragic grandeur and transform him from an ostensible villain to a pathetic figure. In this article an endeavour has been taken to analyze Macbeth’s character, his vacillating mind and to trace the factors responsible for his fiasco.
UNIT FOR AND METHOD OF MOTION ESTIMATION AND IMAGE PROCESSING APPARATUS PROVIDED WITH SUCH MOTION ESTIMATION UNIT

The motion estimation unit (100) comprises a first summation means (106) for calculating match errors of a number of candidate motion vectors of a segment (116) of a first image (118). The motion vector with the lowest match error can be assigned to the segment (116) as the estimated motion vector. The match error is based on summation of absolute differences between pixel values of the segment (116) and pixel values of a second image (120). In order to estimate the deviation of the estimated motion from the true motion vector, i.e. the motion vector error (130), the motion estimation unit (100) further comprises a second summation means (108) for calculating a variance parameter by summation of absolute differences between pixel values of the segment (116) and pixel values of the first image (118) and estimation means (110) for estimating a motion vector error (130) by comparing the match error with the variance parameter.
The Effects of Major Customer Networks on Supplier Profitability

Whereas extant research on supply chain networks focuses mainly on the networks of major suppliers, this study fills a gap in the literature by exploring the relational and structural characteristics of networks of major customers and their impact on the financial performance of suppliers. Based on the major customer disclosure of the Statements of Financial Accounting Standards 131, this study identifies three dimensions of the major customer networks of U.S. public firms—customer concentration, mutual dependence and customer interconnection—and investigates how they affect the supplier's return on assets (ROAt+1) and return on sales (ROSt+1). Drawing on 717 suppliers and their major customer networks from the Compustat database, the study shows that customer concentration and interconnection negatively affect the supplier's ROAt+1 and ROSt+1, whereas mutual dependence enhances them and reduces the negative impact of customer concentration on the supplier's profitability. This positive interaction between customer concentration and mutual dependence demonstrates how two governance principles, power and embeddedness, simultaneously affect concentrated relationships with major customers.
Simulation and experimental detection of radiation-induced acoustic waves from a radiotherapy linear accelerator

Acoustic waves are generated in objects irradiated with megavoltage photon beams produced by a clinical linear accelerator. The detection of such induced acoustic waves (IAWs) has potential applications in radiation therapy dosimetry. This work developed a novel simulation platform to model IAWs by combining radiotherapy Monte Carlo and acoustic wave transport simulation techniques. Simulations and experimental measurements were performed to assess the IAWs when a lead block suspended in a water tank was irradiated with a photon beam produced by a clinical linear accelerator. Simulations correctly predicted the frequency of such IAWs, which allowed improved experimental detection through the development of a custom band-pass filter and signal amplification system. Photon beam energy, lead block depth, and lead block distance from the transducer were varied, and experimental and simulated signals showed the same trends for such set-up changes. These results demonstrate the ability of our simulation platform to accurately predict the frequency spectrum and relative amplitude trends of IAWs. The simulation platform can be applied to assess IAWs in clinically relevant radiotherapy dosimetry situations.