SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Multimodality in Safaricom Advertisement Communication in the Kenyan Daily Nation Newspaper

Advertising is a form of communication which has one main function: to make the audience buy the advertised product or subscribe to the services displayed. Consumer advertisements employ more than one mode of communication in designing messages that target their audiences. This often causes interpretational difficulties to the target audiences. This study examined how language co-occurs with the other semiotic forms as used in Safaricom advertisements. The study examined how the visual texts in Safaricom newspaper advertisements impact on the audience's purchasing decisions, analyzed how visual semiotics and written language were used in the Safaricom advertisements to aid meaning interpretation and determined the impact of using the visual images and written language on the audience's ability to interpret the messages. The data analysis was based on Multimodal Discourse Analysis (MDA) a theoretical framework by Kress and Van Leeuwen. DOI: 10.5901/ajis.2014.v3n6p403
Apoyo para el mantenimiento de las operaciones de Financiación Paweł Orendorz

Estuvimos cerrados en un día con el apoyo total de la gente para apoyar. Después de reabrir las instalaciones para los clientes, debido a las restricciones aún en curso (número limitado de tablas) seguimos generando grandes caídas en la facturación después de 3 meses. Queremos mantener a todos los empleados que han estado trabajando para nosotros durante años y somos conscientes de que al despedirlos no encontrarían trabajo. Creemos que vamos a reconstruir nuestro negocio estable, que manejamos con gran pasión. También tenemos un problema con la liquidez de pagar alquileres, que están al mismo nivel, debido a las difíciles negociaciones en este momento con el propietario. Esta subvención sería definitivamente un gran apoyo para nuestro negocio a largo plazo, que hemos construido con éxito con gran compromiso. Las ayudas se utilizarán para mantener el empleo actual de la empresa, causada por la parada del mercado que ha tenido un impacto significativo en la disminución de la facturación generada por la empresa antes de la pandemia.
Bigdecisions – data-driven decision making with cryptographic confidentiality

Our objective in this innovation project is to disrupt data brokerage and analytics industries by introducing Sharemind, a security technology that enables previously impossible data analysis applications.
Sharemind solves the problem where an organization wants to learn something from confidential data owned by a number of other people or organizations. Sharemind allows the data owners to protect their information during the analysis so that any leakage is controlled with machine-enforced means.
For example, banks, retailers and governments can collect and share customer/citizen information without compromising privacy. Sharemind encourages rational behaviour in a society.
By removing the barriers from information sharing, Sharemind lets governments, companies and researchers reach their full potential and become more efficient.
We have validated this capability in multiple real-world prototypes and have achieved legal breakthroughs that make Sharemind a promising technology for Europe.
Intelligent converged network consolidating radio and optical access around user equipment.

To meet the high throughput demands envisaged for 5G networks, with increased user densification and bandwidth-hungry applications, while at the same time reducing energy consumption, iCIRRUS proposes an intelligent Cloud-Radio Access Network (C-RAN) that brings together optical fibre technology, low-cost but highly flexible Ethernet networking, wireless resource management for device-to-device (D2D) communication (incl. the use of mm-wave spectrum) and the use of virtual mobiles in the cloud. The iCIRRUS C-RAN introduces the use of Ethernet in the fronthaul/midhaul (for radio signal transport), to minimise cost and make available pluggable and in-device monitoring, and intelligent processing to enable self-optimizing network functions which maximise both network resource utilisation and energy efficiency. To exemplify the attractiveness of the proposition, iCIRRUS focusses on D2D communication in the wireless domain, an important work area in current standardisation, where low latency is known to be a significant factor. The latency and jitter in the iCIRRUS Ethernet-based C-RAN will be an important focus of the research work in the project, with current 5G performance targets in mind; for D2D communications, the task will be to minimise control latency and overhead. A major obstacle for C-RANs is the bit-rate of the digitised radio signals that would be required for 5G – of the order of 100 Gb/s and iCIRRUS will examine the architectural and technological questions surrounding this requirement. Wireless resource management will be investigated, together with mobile device caching and mm-wave D2D mesh networks, to reduce latency as well as load on the infrastructure. Finally, the intelligent network functions in ICIRRUS can interact with mobile cloud processing, and further offloads of infrastructure communications can be realised through virtualising mobiles in the cloud as clones, and performing communication tasks between clones.
Assessment of tracheobronchomalacia in relapsing polychondritis using impulse oscillometry

Background: Airway involvement in relapsing polychondritis (RP) includes airway inflammation, airway narrowing and malacia. Systemic corticosteroid and immunosuppressive therapy does not always improve airway involvement making pulmonary interventions such as balloon dilation and stenting necessary. Impulse oscillometry (IOS) measurements can be safely performed in patients with airway involvement during quiet breathing before and after pulmonary intervention. Objectives: To confirm whether IOS can assess airway involvement in RP. Methods: Fifteen patients diagnosed with RP, based on McAdam9s criteria participated in this study. Airway disease including: airway narrowing, airway wall thickness, calcification and malacia were confirmed by computed tomography (CT). IOS was performed in all patients and respiratory resistance (Rrs) and respiratory reactance (Xrs) were calculated in frequency ranges of 5Hz increments from 5 to 35Hz. Results: Five patients developed into tracheobronchomalacia (TBM). R5-R20 and X5 showed a significant difference between patients with TBM and patients with only airway involvement (AI) (R5-R20:TMB 0.48±0.21kPa/(l/s), AI 0.15±0.27 kPa/(l/s), p Conclusions: IOS was useful in the evaluation of airway involvement in RP and R5-R20 and X5 were practical markers to differentiate patients with TBM.
Achieving sustainable agriculture in african cacao through dna metabarcoding and food web models

Anthropocentric destruction of natural ecosystems, such as tropical rainforests, has created an urgent need to balance agricultural production with biodiversity. To achieve sustainability, we must manage ecosystems to prioritise both species that both maximise ecosystem support for crops (“ecosystem service species”) and those that maximise biodiversity (“keystone species”). The framework of community models offers an ideal platform for managing a balance between keystone and ecosystem service species, but two principle components remain: 1) a method for rapidly identifying key species and quantifying interactions between species, and 2) quantitative methods that can fit dynamic community models to such novel data. To overcome the first issue, I will characterize species interactions by implementing state-of-the-art diet metabarcoding, in which the prey of hundreds of animals as well as the plant taxa consumed by prey can be simultaneously identified through predator faeces. With my host at the University of Glasgow, these data will enable me to develop a step-change in food-web modelling. Using Bayesian statistical inference I will construct models in which the strength of connections among species will dynamically adapt to changes in their abundance. With species identifications from metabarcoding, I will build multi-trophic food web models of African shade cacao plantations to address three objectives: 1) identify keystone trees that maximize richness of birds and arthropods (i.e., biodiversity); 2) determine ecosystem service species that maximize predation of damaging pest arthropods and 3) identify “crossover species”: those with both ecosystem service and keystone properties. This cutting edge approach will provide an ecosystem-level understanding of factors affecting the relationship between biodiversity and agricultural production, allowing sustainable management and many further applications in agriculture, ecology, disease control and beyond.
The Heterogeneous Nature of Number–Space Interactions

It is generally accepted that the mental representation of numerical magnitude consists of a spatial "mental number line" (MNL) with smaller quantities on the left and larger quantities on the right. However, the amount of dissociations between tasks that were believed to tap onto this representational medium is accumulating, questioning the universality of this model. The aim of the present study was to unravel the functional relationship between the different tasks and effects that are typically used as evidence for the MNL. For this purpose, a group of right brain damaged patients (with and without neglect) and healthy controls were subjected to physical line bisection, number interval bisection, parity judgment, and magnitude comparison. Using principal component analysis, different orthogonal components were extracted. We discuss how this component structure captures the dissociations reported in the literature and how it can be considered as a first step toward a new unitary framework for understanding the relation between numbers and space.
Evolving risk based monitoring scenario and change management associated with it

&lt;p class="abstract"&gt;Clinical research and drug development is evolving continuously resulting in pharma companies looking for newer ways of getting drugs faster to the market. Managing clinical costs and coping with major regulatory hurdles poses challenges of finding ways to do more with a small budget. The Food and Drug Administration (FDA) guidance for industry on “risk based approach to monitoring”, TransCelerate Biopharma INCs “risk based monitoring methodology position paper” provides guidance, recommendations and methodologies for conducting risk based monitoring (RBM). However, limited experience in the implementation of these methodologies poses questions on practical challenges that pharmaceutical companies are either already facing or will face during the implementation of these recommendations. This paper describes the evolution of RBM strategies and discusses the complexities that clinical research organizations (CROs) and service providers could face while implementing RBM. This paper also suggests how pharma companies may have to adapt their organization to this new model by highlighting changes in roles and responsibilities of relevant stakeholders including site investigators, site monitors and lead data managers. A few suggestions for ensuring smooth change management have also been proposed for each stakeholder.&lt;/p&gt;
Unravelling the moral self

Philosophers and social scientists have emphasized that our moral self-concept, the degree to which being moral is central for us, plays a pivotal role in explaining humans’ tendency to act prosocially. Clarifying the development of the moral self-concept and discovering the functional mechanisms is thus central for clarifying the basis of human morality. Despite a set of perennial questions that the moral self-concept relates to and the empirically proven relevance, research has largely neglected the early ontogeny of the moral self-concept. This is all the more surprising as recent developmental research demonstrated a hitherto unknown inclination of young children to act prosocially, which has led to a theoretical reorientation in developmental science. Moreover, the neurocognitive basis of moral identity as well as the functional mechanisms that relate moral identity to prosocial behaviour have have yet to be discovered, leaving the ontogeny and the nature of the moral self-concept in the dark. In this proposal I will take a new approach by combining novel tools derived from developmental psychology and cognitive neuroscience to provide a comprehensive model of the moral self-concept that integrates (i) knowledge on the developmental origins and changes, (ii) its neurocognitive basis, and (iii) the functional mechanisms that relate the moral self-concept to actual prosocial behavior. To this end, the project relies on an interdisciplinary methodological approach by combining explicit interview measures, implicit attitudes tests, behavioral assessments, and electrophysiological methods with both children and adults to empirically explore the human moral self-concept. The current project not only contributes to a perennial debate on the origins of human morality; providing knowledge on the factors that promote the moral self-concept will also have societal impact by informing theory and practice of moral education.
Resistant beliefs: the role of individual and social networks

Resistant beliefs inconsistent with scientific knowledge can pose societal threats. To provide a deeper understanding how resistant beliefs form and can be changed, I integrate research on individual belief networks (i.e., how beliefs are connected within individuals) with research on social belief networks (i.e., how beliefs are connected between individuals). The resulting joint framework implies that belief resistance is largely determined by the network structure of beliefs – beliefs highly connected to other beliefs on the individual and social level are the most resistant to change. In three subprojects, I will investigate belief resistance using a broad range of methods. Subproject 1 will involve the development of a formal model integrating individual and social level research on belief dynamics. Subproject 2 will involve a longitudinal study to investigate how individual and social networks of beliefs interact. Subproject 3 will consist of four experimental studies testing interventions to lower belief resistance. The interdisciplinary nature of the project will provide important theoretical advancements for different research fields focusing on belief dynamics. Ultimately, my project will contribute to interventions tackling societally detrimental beliefs. During the three-year fellowship, I will receive training in complex systems theory and training in conducting complex longitudinal and experimental studies. In addition to conducting the subprojects, deliverables will include three scientific articles, presentations at five conferences, and several events for communicating my research to a broader audience. The fellowship will (1) provide me with ample networking opportunities, (2) train me in transferable skills, such as improved grant writing skills, and (3) allow me to further sharpen my profile as an independent researcher with a unique skill set. As a result, the fellowship will significantly improve my future employability.
A fully automated scheme for mass detection and segmentation in mammograms

A novel automated mass detection algorithm is presented in this paper. There are two main steps in this method. First it establishes a sech template to simulate the masses and employs template matching to obtain an image which measures the suspicious degree of every pixel in the segmented breast. An adaptive thresholding technique based on maximum entropy principle is used on the exponential transformed feature image to get some regions of interest (ROIs). Then region growing is applied on the background corrected regions of interest to separate the masses from the background. This method has been tested on the Digital Database for Screening Mammography (DDSM). Preliminary results display a best sensitivity of 97.2% with 1.83 false positives per image.
METHOD FOR TWO DIMENSIONAL PRINTING IN A THREE DIMENSIONAL PRINTING SUPPORT

The invention relates to a 2D printing method on a 3D printing support, consisting of forming a printing support comprised of a plurality of colored fibers that follow a printing pattern, which once joined and shaped into a block, can be transversally cut, thereby obtaining printed sheets according to said printing pattern. The invention further relates to the printing support, comprised of a block (1), wherein in one embodiment same is composed of a plurality of hollow tubes (2) having a cavity that can be filled with a coloring means and in another embodiment same is composed of solid tubes. After the coloring means hardens and the block (1) solidifies, the latter can be transversally cut parallel to the printing face (4) into a plurality of strips (5) that will depend on the required volume of advertising signs, posters or banners, among others.
Experimental investigation of TiO2/water nanofluid laminar forced convective heat transfer through helical coiled tube

Coiled tubes and nanofludics are two significant techniques to enhance the heat transfer ability of thermal equipments. The forced convective heat transfer and the pressure drop of nanofluid inside straight tube and helical coiled one with a constant wall heat flux were studied experimentally. Distilled water was used as a host fluid and Nanofluids of aqueous TiO2 nanoparticles (50 nm) suspensions were prepared in various volume concentrations of 0.25–2 %. The heat transfer coefficient of nanofluids is obtained for different nanoparticle concentrations as well as various Reynolds numbers. The experiments covered a range of Reynolds number of 500–4,500. The results show the considerable enhancement of heat transfer rate, which is due to the nanoparticles present in the fluid. Heat transfer coefficient increases by increasing the volume concentration of nanoparticles as well as Reynolds number. Moreover, due to the curvature of the tube when fluid flows inside helical coiled tube instead of straight one, both convective heat transfer coefficient and the pressure drop of fluid grow considerably. Also, the thermal performance factors for tested nanofluids are greater than unity and the maximum thermal performance factor of 3.72 is found with the use of 2.0 % volume concentration of nanofluid at Reynolds number of 1,750.
Spatial patterns in savannas may increase ecosystem resilience and reverse biome transitions

Savannas occupy about one-eighth of the land surface worldwide but the vegetation distribution in this biome is not properly understood. Furthermore, land use and climate change are propelling  shifts in vegetation characteristics and their spatial distribution. Also, at the savanna-forest boundary, where the two biomes are known to exist as alternative states for same climatic conditions, the importance of spatial heterogeneity has been recognized but not well understood. This project will study how the dynamic interaction of vegetation with its environment leads to spatial organization of vegetation in the savannas including at the savanna-forest transition zone. Motivated by recent findings, it will further explore the significance of these patterned structures in increasing ecosystem resilience and reversing transition of ecosystem states. The research will use multidisciplinary knowledge from ecology and applied mathematics. The fellow, Mr. Swarnendu Banerjee, being from a mathematical background but with experience in ecological modelling has the most appropriate foundations to carry out the proposed research. This project will aptly complement his skills by training him in tropical ecology, spatial modelling and state-of-the-art mathematical methods, which will help him grow as an independent scientist in the field. During this project, he will also develop his transferrable skills in terms of writing and communication, project management, language acquisition and networking. The research that will be carried out will provide fundamental insights into the savanna dynamics potentially opening up novel avenues in savanna conservation research. The results generated from the project will be disseminated to the scientific community via scientific conferences and journal publications. Various means like popular science articles, animated videos and social media platforms will be used to communicate the ideas to the general public.
Centre of excellence (coe) lisbon international centre for water

LIS-Water is an initiative of the National Laboratory of Civil Engineering (LNEC) to create in Portugal an international CoE for frontier R&I on water services and related water resources with a high impact on public policies, management and regulation in Portugal, Europe and worldwide. LIS-Water results from a long-term teaming process between LNEC, a recognized centre of R&I from a low-performing EU R&I Member State (Portugal), and 2 top institutions of R&I excellence from advanced Member States (UK and France) - Cranfield Water Science Institute (Cranfield University) and Sorbonne Graduate Business School (Université Paris1 Pantheon-Sorbonne). LIS-Water´s vision is to develop excellent scientific and technological R&I for improved water services and related water resources management, essential to the well-being of citizens and economic activities, with a strong improvement effect on public health and environment. It will contribute to a more developed and healthier society. It will build an innovative, open and widely recognized international CoE on water services as well as related water resources. The Portuguese Ministry of Environment has identified that LIS-Water is essential for the development of the Portuguese water sector and its competitiveness in the international market and is committed to ensure the long-term nature and accountability of LIS-Water, including funding of an estimated minimum amount of 15 million euros in 7 years. LIS-Water will have a strong impact along the water value chain, from an increased and more qualified scientific critical mass to an improved business environment for water-related companies, including a sustainability-friendlier policy context and improved education, training and capacity building. It will help tackle current and new societal challenges, contributing to a more developed society, engaging all key stakeholders (universities, research organisations, policy makers, regulators, water utilities, industry, CSOs).
WORKING CAPITAL GRANT – COVID-19

The project concerns support to the entrepreneur in providing liquidity and support to day-to-day activities due to the financial difficulties that have occurred to the entrepreneur as a result of the COVID-19 outbreak. Financial assistance under scheme SA.57015 (2020/N)
PROPPANT TREATMENT AND ENHANCED WATER IMBIBITION IN TIGHT SUBTERRANEAN FORMATIONS BY USING DENDRIMERS

The present disclosure is directed to the use of dendrimers in various compositions and methods applicable in oilfield applications, such as, but not limited to, in compositions containing oilfield chemical additives for enhancing the efficacy of the oilfield chemical additives in such compositions and in compositions containing an aqueous liquid to allow the compositions to exhibit an enhanced water imbibition in a subterranean hydrocarbon-bearing formation.