SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Geology of Mud Volcanoes and Geochemistry of Associated Gas in Southern Taiwan and Its Significance to Petroleum Geology

A plenty of mud volcanos exist in the southern Taiwan,and the geochemistry of mud volcano-associated gas is representative of crustal gas origin rather than volcanic mantle one.The chemical compositions of associated gas are dominated by methane,the content of ethane and propane is very low.Carbon isotope values of methane and carbon dioxide are ranged from-31.7‰ to-35.9‰ and-10.0‰ to-15.2‰,respectively.Helium and Argon isotopes are low,with R/Ra ratios of 0.21-1.34,and 40Ar/36Ar ratios of 304.6-330.0.Geochemistical parameters of associated gas suggest that the mud volcano-associated gas as thermally decomposed hydrocarbon gas would be mainly sourced from the Neogene marine source rock with big thickness.It is helpful to understand the particular mechanism of accumulation of associated-gas based on information of geology of mud volcanoes and geochemistry of associated-gas gas.
The Use of Geostatistics in the Study of Floral Phenology ofVulpia geniculata(L.) Link

Traditionally phenology studies have been focused on changes through time, but there exist many instances in ecological research where it is necessary to interpolate among spatially stratified samples. The combined use of Geographical Information Systems (GIS) and Geostatistics can be an essential tool for spatial analysis in phenological studies. Geostatistics are a family of statistics that describe correlations through space/time and they can be used for both quantifying spatial correlation and interpolating unsampled points. In the present work, estimations based upon Geostatistics and GIS mapping have enabled the construction of spatial models that reflect phenological evolution of Vulpia geniculata (L.) Link throughout the study area during sampling season. Ten sampling points, scattered troughout the city and low mountains in the “Sierra de Córdoba” were chosen to carry out the weekly phenological monitoring during flowering season. The phenological data were interpolated by applying the traditional geostatitical method of Kriging, which was used to ellaborate weekly estimations of V. geniculata phenology in unsampled areas. Finally, the application of Geostatistics and GIS to create phenological maps could be an essential complement in pollen aerobiological studies, given the increased interest in obtaining automatic aerobiological forecasting maps.
Using Functional Mock-up Units for Nonlinear Model Predictive Control

A software framework for prototyping of Nonlinear Model Predictive Control (NMPC) loops is presented that is based on the standardized model exchange format FMI (Functional Mock-up Interface). Arising optimal control problems are solved by an efficient implementation of the direct multiple shooting method, which is especially suitable for nonlinear and stiff system models. Using co-simulation, an optimizer, plant, and estimator can be coupled to a closed NMPC loop. Several stages of a typical control design process are supported, ranging from virtual simulation experiments to real plants with prototype NMPC controllers. Energy efficient control of vapor compression cycles is presented as example application of the proposed
Immunomodulatory activity of SGI-110, a 5-aza-2′-deoxycytidine-containing demethylating dinucleotide

Pharmacologic DNA hypomethylation holds strong promises in cancer immunotherapy due to its immunomodulatory activity on neoplastic cells. Searching for more efficient DNA hypomethylating agents to be utilized to design novel immunotherapeutic strategies in cancer, we investigated the immunomodulatory properties of the new DNA hypomethylating agent SGI-110, that is resistant to in vivo inactivation by cytidine deaminase.Cutaneous melanoma, mesothelioma, renal cell carcinoma, and sarcoma cells were treated in vitro with SGI-110. RT-PCR, quantitative RT-PCR, quantitative methylation-specific PCR, and flow cytometric analyses were performed to investigate changes induced by SGI-110 in the constitutive immune profile of cancer cells. The recognition by gp100-specific CTL of gp100-positive melanoma cells, treated or not with SGI-110, was tested by LDH release assays.SGI-110 induced/up-regulated the expression of investigated cancer/testis antigens (CTA) (i.e., MAGE-A1, MAGE-A2, MAGE-A3, MAGE-A4, MAGE-A10, GAGE 1-2, GAGE 1-6, NY-ESO-1, and SSX 1-5) in all cancer cell lines studied, both at mRNA and at protein levels. Quantitative methylation-specific PCR analyses identified a hypomethylation of MAGE-A1 and NY-ESO-1 promoters in SGI-110-treated neoplastic cells, demonstrating a direct role of pharmacologic DNA demethylation in CTA induction. SGI-110 also up-regulated the expression of HLA class I antigens and of ICAM-1, resulting in an improved recognition of cancer cells by gp100-specific CTL.Our findings show that SGI-110 is a highly attractive therapeutic agent to comprehensively increase immunogenicity and immune recognition of neoplastic cells, and provide the scientific rationale for its clinical development to design novel chemo-immunotherapeutic approaches in cancer patients.
Morality, Impartiality and Due Partialities

It is generally assumed that impartiality is a defining feature of morality. Philosophers started using the term ‘‘impartiality’’ as late as the 18th century but recognition of the importance of impartiality in moral assessments of human conduct can be traced as far back as the Golden Rule of morality, ‘‘one should treat others as one would like others to treat oneself,’’ and the Christian version, ‘‘you shall love your neighbor as yourself,’’ covering the spectrum of the most important systems of ethics throughout history. This is scarcely surprising. The term ‘‘impartiality’’ is associated with moral requirements such as ‘‘treating similar cases similarly,’’ ‘‘not to make an exception of oneself,’’ ‘‘to give equalweight to everybody’s legitimate claims,’’ etc. Thus impartiality is easily seen as constitutive, if not identical, to what we commonly understand by morality. Indeed, it captures three fundamental moral insights, namely, (a) that morality is objective, in the sense of not being amatter of subjective feelings or personal opinions;
A holistic structural analysis method for cultural heritage structures conservation

HOLAHERIS proposes a holistic structural analysis method for cultural heritage structures (CHSs) conservation, introducing an original multidisciplinary framework that will make the safeguard and protection of CHSs less expensive, faster and more reliable than existing approaches. These features will allow to apply smart management to a wider range of CHSs. Scientific novelties will be introduced through 4 objectives: (1) innovative integration of 3D documentation data for rapid numerical model generation of CHSs, (2) innovative integration of structural health monitoring (SHM) and numerical modelling for decision-making in CHSs conservation, (3) sub-modelling-based stochastic dynamic analysis for seismic assessment of CHSs, (4) modelling environmental deterioration in historic building materials and composite strengthening systems. The HOLAHERIS activities will require a multidisciplinary approach, that will be achievable by merging the expertise of the 3 institutions involved: Princeton University (18-month outgoing phase, supervisor Prof Glisic and co-advisor Prof Finkelstein, experts in SHM and computer graphics), University of Minho (6-month secondment, supervisor Prof Lourenço, expert in historical structures), University of Bologna (12-month return phase, supervisor Prof de Miranda and co-advisor Dr Sassoni, experts in computational mechanics and materials science). Dr D’Altri will receive excellent training in the 3 institutions, expanding his knowledge. This new knowledge, combined with the publication of research results in top journals, will allow him to boost his career development and become a structural mechanics-expert tenured researcher in EU academia. The project will be organized in 8 work packages (WPs). The first 4 WPs will consider the 4 objectives, and WP5 will integrate them in a unique method to holistically treat the structural analysis of CHSs. WP6, WP7 and WP8 will deal with training, exploitation/dissemination, and project management.
(6439.12122014.079000744) O.B.F? UM FLUXO CHATO

O PROGRAMA DE INVESTIMENTO DA TECNOLOGIA MAGGI PLANEJA ABANDONAR O SISTEMA DE MONTAGEM EM LOTE DE SUAS MÁQUINAS (COM QUANTIDADE? VARIÁVEIS DE 5 A 30) PARA MUDAR PARA UM SISTEMA DE FLUXO, OU SEJA, UM OU MAIS? LINHAS DE MONTAGEM CADA UMA DAS QUAIS SÃO DEDICADAS A FAMÍLIAS DE MÁQUINAS ESPECÍFICAS. CADA LINHA VIRÁ? MONTADO UM CARRO DE CADA VEZ COM UMA VELOCIDADE? DO AVANÇO DA SAR? PROPORCIONAL AO TEMPO DE TAKT ESPECÍFICO DAQUELA FAMÍLIA. A TRANSIÇÃO DO ANTIGO PARA O NOVO SISTEMA? REPRESENTADOS NOS DOIS PROJETOS DE APRESENTAÇÃO INCLUÍDOS NOS ANEXOS 1A E 1B. TAMBÉM O POSICIONAMENTO E A CONFIGURAÇÃO GERAL DOS BOLSEIROS? RADICALMENTE: DE UM SISTEMA DE FORNECIMENTO LIGADO À PROGRAMAÇÃO DE PUSH DE PRODUTOS (DO ORÇAMENTO ANUAL DE VENDAS COM REVISÕES TRIMESTRAIS), A UMA ATRAÇÃO BASEADA NO PICO DE CONSUMO A QUE A EMPRESA ACREDITA QUE PODE ESTAR SUJEITA. AS POLÍTICAS DE CONTRATAÇÃO PÚBLICA PARA FORNECEDORES TAMBÉM MUDARÃO RADICALMENTE COM
NAČELO RAVNOPRAVNOSTI U RADNOM ODNOSU

The subject of this paper is the establishment of a working relationship, definition of employment relationship and all of them, conditions and equal rights of a party to the prohibitions of discrimination, most attention we will hand over the right to work. One of the fundamental principles of labor law is the principle of equality, which confirms thet all people are in their rights and obligations. Furthermore, it is mentioned discrimination in work that is still a major problem in the world, although it is banned it is difficult to suppress. The right to work is mentioned in the Constitutional Act of 1953 Art.5. This provision was created after the adoption of the Universal Declaration of Human Rights, which was adopted on the General United Nations Assembly on 10 December 1948. In its Article 23. It reads: Everyone has the right to work, free choice of education fair and appropriate conditions for work and protection againts unemployment.
Data aware wireless networks for internet of everything

Whilst traffic demand is increasing exponentially, network operators’ revenue remains flat. There is an urgent for data driven 4G/5G networks.
 
In this project, we exploit heterogeneous big data analytics to optimize both the deployment and operations of wireless networks. We design protocols that enable future Data Aware Wireless Networks (DAWN) for enabling a new age of Internet of Everything (IoE). The proposal has been developed to address the following open issues in data driven flexible systems:
• How to characterize user mobility and wireless data traffic patterns 
• How to infer user Quality-of-Experience (QoE) from combining data sets
• How to use data analytics to assist cell planning
• How to use data driven techniques to optimise the network using Self-Organising-Network (SON) algorithms
• How to optimally cache data to accelerate and optimise data storage and transmission.

The research objectives of the DAWN4IoE project are as follows: 
• Develop appropriate spatial-temporal structured filters to combine different data sets and infer both human location/mobility and digital data demand patterns.
• Develop appropriate machine-learning techniques for unstructured natural language processing (NLP) to understand consumer experience for different service categories.
• Design algorithms to integrate the new data analytics techniques with current state-of-the-art deployment techniques to assist HetNet planning, performance prediction, and deployment
• Design mechanisms to integrate structured and unstructured data analytics to drive SON algorithms for radio resource management and smart antenna elements.
• Design algorithms to optimally cache data leveraging on mobile edge computing (MEC).

Achieving the above objectives will provide crucial inputs for 5G/B5G data-driven flexible wireless network design and both increase network capacity by 50% and decrease operation costs by 20-30% (compared with non-data driven networks).
Smart autonomous multi modal sensors for vital signs monitoring

Cardiovascular diseases (CVD) remain the leading cause of mortality and a major cause of morbidity in Europe. Every year there are more than 6 million new cases of CVD in the EU and more than 11 million in Europe as a whole. With almost 49 million people living with the disease in the EU, the cost to the EU economies is €210 billion a year. There is a growing demand for a reliable cardiac monitoring system to catch the intermittent abnormalities and detect critical cardiac behaviours which, in extreme cases, can lead to sudden death. The objective of the Smart Autonomous Multi Modal Sensors for Vital Signs Monitoring (SmartVista) project is to develop and demonstrate a next generation, cost-effective, smart multimodal sensing platform to reduce incidences of sudden death caused by CVD. The key innovation in SmartVista is to integrate 1D/2D nanomaterials based sensors to monitor the heart, thermoelectric energy harvesters to extract energy from the body to power the system and printable battery systems to store this energy. Together these will result in a self-powered device that will autonomously monitor the electrocardiograph, respiratory flow, oxygen flow and temperature of the patient. This information will then be transmitted wirelessly for online health processing. This real-time self-powered monitoring of a patient’s health in this manner is not currently available so the technology that will be developed in SmartVista will position us at the forefront of digital health and wearable biosensor technology for wireless monitoring in hospitals and of remote patients, both of which are necessary in this era of an aging population. The SmartVista platform enables wireless, real-time, continuous patient monitoring and delivers a seamless feed of patient data and will contribute to the EU vision of an Internet of Things for healthcare.
Titanium dioxide photocatalysis for pharmaceutical wastewater treatment

Heterogeneous photocatalysis using the semiconductor titanium dioxide (TiO2) has proven to be a promising treatment technology for water purification. The effectiveness of this oxidation technology for the destruction of pharmaceuticals has also been demonstrated in numerous studies. This review highlights recent research on TiO2 photocatalytic treatment applied to the removal of selected pharmaceuticals. The discussions are tailored based on the therapeutic drug classes as the kinetics and mechanistic aspects are compound dependent. These classes of pharmaceuticals were chosen because of their environmental prevalence and potential adverse effects. Optimal operational conditions and degradation pathways vary with different pharmaceutical compounds. The main conclusion is that the use of TiO2 photocatalysis can be considered a state-of-the-art pharmaceutical wastewater treatment methodology. Further studies are, however, required to optimize the operating conditions for maximum degradation of multiple pharmaceuticals in wastewater under realistic conditions and on an industrial scale.
Atom probe tomography (apt) metrology for future 3d semiconductor devices

This proposal presents a training-by-research plan in the emerging and exciting field of Atom Probe Tomography (APT) and its application in analysing non planar atomic scale state-of-the art semiconductor nanostructures.  Central to this project are the metrology and training advances needed to underpin the next generation of 3 dimensional (3D) device architectures based on atomically engineered materials and interfaces (e.g. FinFETs such as the Tri-gate transistor ). Amongst the possible emerging 3D analysis techniques which meet industrial requirements in terms of 3D-spatial resolution is APT. However, within the semiconductor field APT as a characterisation tool is still in its infancy with many challenges unresolved from both a fundamental understanding perspective as well operational performance.  It therefore remains prone to many artefacts and limitations such that one has not yet reached the robust analysis levels required for the semiconductor industry - i.e. qualitative versus quantitative information, high success yield, tight reproducibility and accuracy, and a full understanding of the data quality. Research on the exploitation of APT for advanced semiconductor devices is restricted as it requires simultaneous access to an (expensive) APT tool and advanced semiconductor technology. Thus, the number of trained researchers is limited. This project therefore aims to: (1) advance the APT technique and (2) complement the applicant’s expertise with substantial training and knowledge of the APT technique. Through detailed investigations into the phenomena most impacting on APT new insights which will feed into the needs of the semiconductor industry will be sought. The research and training activities are designed to enhance the future career of the applicant by broadening his technical skills in a novel research area that and increase his prospects for extended funding for future collaborative research projects.
Subduction initiation at magma-poor rifted margins: an atlantic perspective

Subduction initiation is a key turning point in the Wilson cycle. How it unfolds remains a glaring unknown in our understanding of the evolution of the Earth’s oceans and mountain belts. Tectonic inheritance acquired at passive margins imposes a major control on how subduction zones may form and propagate in Atlantic-type oceans. In particular, magma-poor rifted margins seem to share characteristics that may localize compressional deformation and lithospheric rupture. The southern North Atlantic represents a unique natural laboratory to investigate the main factors that control the early stages of passive margin reactivation, prior to the onset of subduction. This project aims to study the role of inherited structures on the reactivation of passive margins using qualitative and quantitative constraints derived from examples along the southern North Atlantic rifted margins, coupled with geodynamic models of subduction initiation. The study region encompasses a number of reactivated magma-poor rifted margins that preserve different stages of the Wilson cycle, including: 1) the pristine Newfoundland margin; 2) an incipient, dormant, subduction zone in the western Bay of Biscay; and 3) an example of passive margin reactivation in Western Iberia. We will first map different styles and stages of margin reactivation along the studied Atlantic margins. Direct observations will be used to constrain kinematic reconstructions of the spatial and temporal evolution of these margins from rift to drift to reactivation. The identified key parameters that control reactivation will then be tested and explored using numerical geodynamic models. The action will involve an experienced international and multi-disciplinary team that will work closely together to further enhance our understanding of the Earth system. This opportunity will also provide the candidate with a new set of opportunities to boost her career and to develop strong coordination and leadership skills.
HEAT EXCHANGER

A heat exchanger in the form of a vessel for heat exchange of a pulverulent solid material and a gas, e.g. for preheating raw materials prior to a burning process by use of the hot exit gases fed to the vessel consists of a hollow cylindrical central part (1) with a tangential gas inlet (3), a conical base (2) with a material outlet (5), and a downwardly orientated gas outlet (4), a concave upper part (7, 7') facing the central part and with at least one material inlet (8); the downwardly orientated gas outlet (4) is mounted initially axially as a central pipe inside the vessel and is provided with a skirt (6); the height of the upper part, the distance of the material inlet from the vertical axis of the heat exchanger and the inclination of the inlet to the horizontal plane, the height of the central pipe gas inlet (4) above the lower end level of the central part (1) of the vessel and the inclination of the skirt (6) are all dimensioned so as to provide optimum conditions, partly for heat exchange in radial countercurrent between material and gas, partly for separation of material from gas inside the vessel due to the downwardly orientated axial and tangential gas velocities.
Savoca, Giuseppe. <i>Verga cristiano. Dal privato al vero,</i> Firenze : Leo S. Olschki Editore, 2021 (= « Polinnia. Testi, Studi e Manuali di Letterature Europee », 33). VII, 231 pp.

Article Savoca, Giuseppe. Verga cristiano. Dal privato al vero, Firenze : Leo S. Olschki Editore, 2021 (= « Polinnia. Testi, Studi e Manuali di Letterature Europee », 33). VII, 231 pp. was published on June 1, 2022 in the journal Kritikon Litterarum (volume 49, issue 1-2).
Groundwater Level Prediction Based on BP and RBF Neural Network

Groundwater level is an important indicator to measure groundwater resources and their exploitation amount. The accurate prediction of groundwater level is important for efficient use and management of groundwater resources. Because of mainly affected by natural and human factors, groundwater level has evident randomness. So, building stochastic model for prediction of groundwater level is of great significance in the evaluation of groundwater resources. In the paper, BP and RBF neural network models are built and they are applied in Yichang Irrigation District of Hetao Irrigation District in Inner Mongolia. Forecasting the groundwater level fluctuations in the irrigation district can provide references for many aspects, such as saving groundwater resources, restoring groundwater homeostasis in the region, establishing the optimum irrigation system of well irrigation, developing water-saving irrigation and promoting the sustainable development of agriculture and water resources. Overall, simulation results of the neural network models suggest that predictions of two models are reasonably accurate. The average absolute value of relative error of BP neural network is 5.28% and RBF neural network is 4.84%. Comparative analysis shows that RBF neural network is simpler, converges faster and has more stable prediction results.
ENHANCED FOAM STABILITY APPLICATIONS AND METHODS

A method for enhancing foam stability In foaming compositions for use in oilfield treatment application, including but not limited to use in mobility control for gas flooding. The method comprises the step of adding to a foaming composition a foam stabilizer of formula (I): wherein R1 is an alkylamido group or a branched or linear alkyl group; R2 and R3 are individually hydrogen or a methyl group; R4, R5 and R6 are individually hydrogen or a hydroxy group, with the proviso that at least one of R4,R5 or R6 is a hydroxyl group; wherein the alkyl group has greater than about 10 carbon atoms. Also disclosed are methods to enhance foam stability in an aqueous foaming composition, comprising the step of adding a foam stabilizer selected from alkyl dimethyl betaine,. alkyl amidopropyl hydroxy sulfobetaine or alkyl hydroxy sulfobetaine, wherein the alkyl group has greater than 10 carbon atoms, or 12 carbon atoms or 16 carbon atoms.