SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
RADIO BEACON FOR A WIRELESS ROAD TOLL SYSTEM

A radio beacon for a wireless road toll system including a transceiver, which is arranged for packet-type radio communication with onboard units of passing vehicles; at least one camera for recording an image of a passing object; and a control device connecting to the transceiver and the camera. The control device is configured to measure, in conjunction with the transceiver, the number of data packets received per unit time from a specific onboard unit and to actuate the camera to record an image of the object carrying this onboard unit, in the case of a number exceeding a threshold value.
Diversity, Abundance, Richness, and Birds of Conservation Interest in Nyando Sugar Belt, Muhoroni Sub-County, Lake Victoria Basin, Western Kenya

Thus far, no expedition has comprehensively surveyed the composition of bird species in the dilapidated habitats of Nyando sugar belt, Western Kenya. This has made it difficult unearthing equilibrium between agricultural growth and bird species conservation. In response, we conducted bird assessment by stratifying the expedition area into farmlands and shrub-land. We then sampled birds by the standard point count method and opportunistic counts within a 30 m radius parcel of land. We exhaustively observed 1450 birds of 122 species. The farmland recorded a density of 2.065 ± 1.11 birds per hectare whereas the shrub-land had a density of 1.644 ± 0.70 birds per hectare. Nyando sugar belt was a diverse community with a Shannon diversity index value (H’) of 3.225 regardless of the birds being constrained in certain habitats. The magnitude of the disparity in true diversity indicated that the farmland was 4 times more diverse than the shrub-land. The facts promoted by this research validate the incorporation of bird conservation in the farmland and formulation of avian conservation strategies.
Establishment of micromethods for macronutrient contents analysis in breast milk

Commercially available milk analysers were originally developed for use in the dairy industry, but they are now used to analyse macronutrient content of breast milk in clinical studies and routine care of the premature or very low birthweight (VLBW) infants. Due to the different composition of cow and breast milk, these devices need to be validated against reference methods before they can be used in daily routine. However, current reference methods require a sample volume of 30-100 mL to analyse fat, protein and lactose. It is not feasible to obtain this volume of milk for research purposes, especially from VLBW infants as lactation may be delayed or impaired and the limited volume of breast milk must be provided to the infant. To support validation of milk analysers in both clinical and research settings, the aim of this study is to establish and validate micromethods for precise macronutrient analysis in small volume of breast milk and conduct a feasibility study of the micromethods as a post-validation. Methods include a modified Mojonnier ether extraction (fat), elemental analysis (protein) and ultra-performance liquid chromatography-tandem mass spectrometry (lactose). We were able to downsize volumes required for analysis of fat, protein and lactose to 1 mL, 260 μL and 100 μL; corresponding coefficients of variation are 1.7, 1.8 and 2.3%, respectively. The presented methods allow for reliable and precise analyses of macronutrients in ≤1.5 mL of breast milk and will be used to validate milk analysers.
COMPOSITE NONWOVEN, ITS USE AND METHOD OF MANUFACTURE

The invention concerns a composite nonwoven formed from fibrous layers bonded together by entanglement of fibers of the layers, wherein the fibrous layers comprise first and second outer layers each comprising a mixture of hydrophobic and hydrophilic fibers, as well as an intermediate layer of hydrophobic fibers sandwiched between the first and the second outer layers, the weight ratio between the hydrophobic and hydrophilic fibers in the first and the second layers being 20:80 to 80:20. The invention also concerns the manufacture of the nonwoven, as well as its use, especially as a wet wipe.
Enabling catalytic cross couplings with only zinc electrophiles, nucleophiles and boranes

This high-impact, challenging CoG Proposal integrates multiple novel ideas in boron and zinc chemistry into an overarching project to open up new horizons across synthesis and catalysis. The Applicant’s successful ERC StG has opened up new avenues of pioneering research in main group element mediated transformations that were not conceivable before the work was done. Components of this proposal extend out from the StG into new, exciting research areas that are completely different. Developing low toxicity earth abundant catalysts for important transformations is vital to the EU with the focus herein being on; (i) the Suzuki-Miyaura (S-M) cross coupling reaction which is ubiquitous in industry and academia, and (ii) the formation of organoboranes that are essential synthetic intermediates. Both of these are currently dominated by toxic, expensive and low abundance precious metal catalysts (e.g. Pd, Ir). This project will deliver innovation through utilising combinations of main group Lewis acids and nucleophilic anions that do not react with each other, i.e. are frustrated pairs. This “frustration” enables the two species to concertedly transform substrates to achieve:

(i) precious metal-free S-M cross coupling reactions of sp3C electrophiles catalysed by zinc and boron compounds, including stereospecific couplings and one pot two step cross electrophile couplings

(ii) trans-elementoboration of alkynes, including the unprecedented fluoroboration of alkynes

Other new approaches will be developed to access novel (hetero)arylboronic acid derivatives using only simple boranes and without requiring noble metal catalysts, specifically: (i) boron directed C-H borylation and (ii) directed ortho borylation to enable subsequent meta selective SEAr C-H functionalisation. 

This CoG will afford the freedom and impetus via consolidated funding to undertake fundamental research to deliver high impact results, including developing a new area of cross coupling catalysis research.
COMPOSITIONS AND METHODS FOR TREATING GRAM POSITIVE BACTERIAL INFECTION IN A MAMMALIAN SUBJECT

Compositions and methods are provided for treating Gram positive bacterial infection in a mammalian subject. Compositions and methods are further provided for treating Gram positive bacterial skin infection in the mammalian subject. Compositions and methods are provided that comprise administering to the mammalian subject an effective amount of a compound that activates Scdl gene expression or activates Scdl gene product.
HTK analysis of text-based CAPTCHA using phonemic restoration effect and similar pronunciation with an Asian accent

In Recent years, bot (robot) programs have been a threat on the web. Some kinds of the bots acquire accounts of web services in order to use the accounts for SPAM mails, phishing, etc. CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) is one of the countermeasures for preventing bots from acquiring the accounts. Especially, text-based CAPTCHA is applied to almost all famous web services since it can be implemented easily. However, CAPTCHA faces a problem that evolution of algorithms for analysis of printed characters disarms text-based CAPTCHA. Stronger distortion of characters is an easiest countermeasure of the problem. However, it makes recognition of characters difficult not only for bots but also for human beings. Therefore, we proposed a new CAPTCHA with resistance to the analysis by computers. We focus on the human abilities of phonemic restoration and recognition of similar pronunciation. Furthermore, we also pay attention to the fact that words with an Asian accent can be heard by English speakers. The proposed CAPTCHA makes machinery presumption difficult for bots, while providing easy recognition for human beings. In this paper, analysis of our CAPTCHA by computers with HMM (Hidden Markov Model) is evaluated.
Internacionalizar BiosinkCO2: Concesión de licencias tecnológicas y comercialización de productos de microalgas

El proyecto tiene como objetivo proporcionar a la empresa todas las herramientas necesarias para la internacionalización y puesta en funcionamiento de su modelo de negocio, basado en la concesión de licencias de tecnología y la producción y comercialización de productos biocompuestos, con microalgas como ingrediente.
Towards a molecular understanding of the centriole assembly process

The centriole is a conserved organelle essential for cell organisation, division and motility through its capacity to organise microtubules. A broad range of human diseases, such as microcephaly and cancer, have been associated with defects in centriole formation, making the full characterisation of its assembly process of great interest. Centrioles are miniature cylinders of characteristic symmetry, diameter and length, yet the molecular methods by which these parameters are defined are only partly understood. The objective of this proposal is to study the structure – function relationship of the centriolar proteins SAS-6, Cep135 and CPAP, which together form a protein interaction network that supports centriole elongation and connects the core centriole scaffold with its microtubule-based exterior. This project will be carried out through an integrated, multi-disciplinary approach combining structural biology, biophysics  and functional assays in human cell lines. We will investigate the effect of disease-causing mutations in the structure and function of the SAS-6 – Cep135 – CPAP network. This work will boost our understanding of the centriole formation process and how it is perturbed in disease, and be a pioneering example of elucidating the molecular architecture of a cell organelle.
ICE CUBE TRAY AND METHOD FOR RELEASING A SINGLE CUBE FROM TRAY

An ice tray in accordance with the present disclosure has an ice cavity formed on a first side for receiving water and creating an ice cube and a water cavity formed on a second side, the water cavity adjacent the ice cavity such that when warm water is poured in the water cavity, heat transfers to the ice cavity and melts the ice cube.
Pubertal mouse mammary gland development - transcriptome analysis and the investigation of Fbln2 expression and function

Mouse mammary gland morphogenesis at puberty is a complex developmental process, regulated by systemic hormones, local growth factors and dependent on the epithelial/epithelial and epithelial/stromal interactions. TEBs which invade the fat pad are important in laying down the epithelial framework of the gland at this time point. The objective of this thesis was to use a combination of ‘pathway-‘ and ‘candidate gene analysis’ of the transcriptome of isolated TEBs and ducts and associated stroma, combined with detailed analyses of selected proteins, to further define the key proteins and processes involved at puberty. Using GeneChip® Mouse Exon 1.0 ST Arrays we identified the epithelial-, epithelial-stromal- and stromal transcriptomes of TEBs and ducts and defined the major functional pathways/biological processes in each compartment. By ranking the transcripts according to their expression levels and known functions in other systems, we identified genes of potential importance for pubertal mammary morphogenesis. We focused our study on Upk3a and Fbln2 and their protein products. Upk3a could only be detected at mRNA level and thus further analysis was based on Fbln2. We demonstrated that Fbln2 V1 and Fbln2 protein are predominantly expressed in the epithelium and stroma of TEBs. Using hormone primed mice we demonstrated that Fbln2 expression and localisation in the mouse mammary gland is positively regulated by E2 and P. Furthermore, by a combination of further in silico analysis, in vitro functional assays, IHC and IF we identified Vcan, Lama1, Fbn1, ColVIαIII, ColIVαI, ColXVIIIαI, Eln, Per, Acan, Nid, Itgb3 and Itga5 as potential binding partners of Fbln2 in mammary gland. Finally, we reported lack of an obvious mammary phenotype in Fbln2 KO-/- mice at puberty but demonstrated that this may be attributed to the over-compensation by Fbln1. 

This thesis demonstrates the benefit of DNA microarray analysis in studying pubertal development of mouse mammary gland. It identifies Fbln2 as a potential pubertal mammary regulator which by interacting with various ECM proteins at different sites of mammary milieu may contribute to an array of structural and migratory functions during mammary morphogenesis. These data substantially add to the understanding of the development of mammary gland at puberty and reveal many potential avenues for further investigations.
Mobilising affects: politics of security and the withdrawal of citizenship

This project examines denaturalisation laws that have been enacted as a security measure in Europe, with a comparative focus on withdrawal practices in the United Kingdom and the Netherlands. Denaturalisation laws raise fundamental questions about what it means to be a citizen in and of Europe. How do security practices impact democratic processes and the organization of society? Does denaturalisation endanger democratic citizenship? The democratic and societal implications of the withdrawal of citizenship and the emotional politics involved are a particularly urgent concern in Europe today. Security concerns have led to an intense revival of public debates about the legitimacy of withdrawing citizenship and about its consequences, both for the individuals involved and the wider society. The research methods applied are archival research and critical discourse analysis. Empirically innovative as it collects archival material on the underexplored issue of denaturalisation, the project makes a timely intervention in current debates on security and citizenship. By studying norms of citizenship in relation to security practices, it makes a crucial contribution to security studies, in which citizenship remains an under-researched question. Its focus on emotions reveals affective relationships between citizenship and security. The project will take place at the Queen Mary University of London under the supervision of Prof. Jef Huysmans, who is a renowned scholar in critical security studies with a focus on the relationship between citizenship and security. The fellowship will significantly enhance my academic skills and career opportunities, allowing me to join a leading research centre in the social sciences after having worked in the humanities so far. It will allow the scope of my research to grow from a national context to an international and comparative framework, and establish me as an inter-disciplinary expert in citizenship and security.
COMÉRCIO ELETRÓNICO B2B/B2C 2.0

DESENVOLVIMENTO DE UMA PLATAFORMA DE COMÉRCIO ELETRÔNICO ENTRE EMPRESAS PARA OFERECER NOVA GERAÇÃO 2.0 PARA A AQUISIÇÃO DE NOVOS CLIENTES E MERCADOS
Allele-Specific deconvolution of tumour dna methylation and expression data toreveal underlying cell populations

Owing to advances in sequencing technology, we are now beginning to understand the molecular mechanisms underlying cancer development and evolution. Tumours however are heterogeneous, often containing admixed normal cells and different (sub)clones, confounding interpretation of the massive amounts of data flowing from large initiatives such as the International Cancer Genome Consortium.
To address this issue, I will develop methods that disentangle tumour bulk gene expression (RNA-Seq) and DNA methylation (Bisulphite-Seq) data to accurately reveal the states of the distinct underlying cell populations. The innovative algorithms will derive estimates of the allele-specific expression/methylation rates and tumour copy number profiles from the data and use them to separate the signal coming from the tumour from that of the normal cells. In a second step, the method leverages the wealth of available cancer ‘omics data using a recommender-system approach to complete the deconvolution. Careful validation will come from teasing apart computationally mixed pure samples as well as from ongoing and planned collaborative single-cell sequencing projects. A detailed analysis of tumour expression and DNA methylation heterogeneity on these single-cell datasets will guide further methodological advances. As an intrinsic part of the project, massive pan-cancer datasets will be deconvoluted. Drawing on the pure transcriptomes and epigenomes, I will construct a more comprehensive taxonomy of cancers, laying the basis for significant improvements in clinical prognostic prediction and personalised treatment.
This project will shift the paradigm of genomic tumour heterogeneity to include the more actionable transcriptome and epigenome. In turn this will lead to a better understanding of how (epi)genomic alterations translate into the transcriptomic (and proteomic, interactomic, …) changes driving cancer evolution.
Studying, measuring and altering consciousness through information theory in the electrical brain

What is consciousness? Can it be measured? While humankind has struggled with these questions for millennia, our project will focus on more modest but nonetheless ambitious and related goals. Inspired by recent developments in neuroscience and the potential role of fundamental concepts such as information integration and algorithmic complexity, we will study, model, quantify, and alter observable aspects of consciousness.  Our vision is that consciousness will someday be electromagnetically measured and altered, and that the associated needed insights will prove crucial to the development cognitive sciences. 
The conceptual framework of the project rests on information theoretic developments that link consciousness to the amount of information that a physical system can represent and generate as an integrated whole, and from the related idea that consciousness can be quantified by metrics reflecting information processing and representation complexity. 
Supported by computational neuroscience models, we aim to create non-invasive consciousness-probing technologies integrating electro- and magneto-encephalography, peripheral and non-invasive brain stimulation (NIBS) with advanced techniques to analyse brain activity – including functional and effective connectivity. Based on the derived brain activity metrics, we will explore intervention, ie the use of NIBS to alter consciousness. To achieve these goals we will pursue computational neuroscience models and human studies – in perception, sleep, anaesthesia, locked-in syndrome, disorders of consciousness, and in utero – supported by machine learning to disentangle the essential aspects of consciousness.
The project will also explore the ethical implications of such technologies and the prospects for clinical translation. If successful, this paradigm-shifting work will have profound social and clinical impact and provide key insights in fundamental neuroscience and  artificial cognition research.
Era chair for computational imaging and processing in high resolution

The aim of the CIPHR project is to establish the Center of Photonics and Computational Imaging (CPCI), a research unit within the University of Tartu (UTARTU) that will become a world leader in Computational Imaging, a sub field of photonics. We will establish this center by recruiting a leading expert in the field to serve as ERA Chair in Computational Imaging and Processing in High Resolution, who will in turn create a top-level research team capable of conducting cutting edge research that combines photonics with the computational power of computer science and optoelectronics. 

Computational Imaging is a vastly interdisciplinary field; therefore, it has the potential to become one of the most important industries in the future, offering a multitude of applications in 3D imaging, remote sensing, image compression, consumer electronics, security and defense, microscopy and healthcare diagnostics. To account for interdisciplinarity of Computational Imaging, the ERA Chair will build bridges between several fields that UTARTU is already strong at: optics and spectroscopy, machine vision, remote sensing, electronics and informatics. 

The ERA Chair will also establish strong links with the industrial actors, improve the quality of UTARTU's curricula and work to raise awareness about photonics and the benefits it can offer to society. As a result of ERA Chair's activities, UTARTU will achieve excellence in the field of photonics, develop an efficient system for research exploitation, improve knowledge and skills of future researchers by providing better education to them and raise UTARTU's profile among Estonian and international audiences.
Content-Based Image Retrieval by Metric Learning From Radiology Reports: Application to Interstitial Lung Diseases

Content-based image retrieval (CBIR) is a search technology that could aid medical diagnosis by retrieving and presenting earlier reported cases that are related to the one being diagnosed. To retrieve relevant cases, CBIR systems depend on supervised learning to map low-level image contents to high-level diagnostic concepts. However, the annotation by medical doctors for training and evaluation purposes is a difficult and time-consuming task, which restricts the supervised learning phase to specific CBIR problems of well-defined clinical applications. This paper proposes a new technique that automatically learns the similarity between the several exams from textual distances extracted from radiology reports, thereby successfully reducing the number of annotations needed. Our method first infers the relation between patients by using information retrieval techniques to determine the textual distances between patient radiology reports. These distances are subsequently used to supervise a metric learning algorithm, that transforms the image space accordingly to textual distances. CBIR systems with different image descriptions and different levels of medical annotations were evaluated, with and without supervision from textual distances, using a database of computer tomography scans of patients with interstitial lung diseases. The proposed method consistently improves CBIR mean average precision, with improvements that can reach 38%, and more marked gains for small annotation sets. Given the overall availability of radiology reports in picture archiving and communication systems, the proposed approach can be broadly applied to CBIR systems in different medical problems, and may facilitate the introduction of CBIR in clinical practice.