SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Equipment in Mud Circulating Systems

This chapter provides a brief introduction to the equipment in the mud circulating system. Mud pumps serve as the heart of the mud circulating system. Reciprocating piston pumps are widely used for drilling oil and gas wells. The contaminant-removal equipment can include shale shakers, degassers, hydrocyclones, and centrifuges. An integrated unit of desanders and desilters is called a mud cleaner. The two types of piston strokes are the single-action piston stroke and the double-action piston stroke. A pump that has double-action strokes in two cylinders is called a duplex pump. Normally, duplex pumps can handle higher flow rates, and triplex pumps can provide higher working pressure. However, for a given pump of fixed horsepower, the flow rate and working pressure can be adjusted by changing the sizes of the liners inside the pump. Three types of drill bits are used in the oil and gas industry: drag bits, cone bits, and PDC bits.
Transition metal carbides as efficient catalysts for methane partial oxidation

Methane is a particularly problematic greenhouse gas as its impact is 25 times greater than carbon dioxide over a 100-year period. Human activity has increased the amount of methane in the atmosphere, contributing to climate change. Therefore, there is an imperative for the transformation of methane into useful chemicals. At this time, the most economically available route for the conversion of methane into more valuable chemicals is via synthesis gas, a mixture of CO and H2. The only large-scale process for natural gas conversion involves a reaction known as methane-steam reforming. However, it is an endothermic process that requires high operating temperatures. Methane partial oxidation (MPO) is a promising energy saving alternative because it does not require the use of superheated steam. A major goal is to find a catalyst that exhibits high activity, selectivity and stability at the relevant reaction conditions.
This project envisions the computational prediction of novel MPO catalysts that overcome this challenges by computationally screening a large set of materials consisting of precious metals (Rh, Pd, Pt, Au) and more affordable metals (Co, Ni, Cu) supported on transition metal carbides (TMCs, TM = Ti, Zr, Hf, V, Nb, Ta, Mo, W). These type of catalysts have exhibited outstanding performance in other chemical reactions in the past 5 years. To this end, state-of-the-art Density Functional Theory and Kinetic Monte Carlo frameworks will be employed to provide direct predictions of activity, selectivity, stability and yield for the most promising catalysts at relevant reaction conditions. Moreover, the large amount of results gathered from this project will serve as a big dataset to conduct descriptor analysis, and will suggest key properties that correlate well with their activity for C-H and O-H bond activation. The results obtained will be discussed with our experimental collaborators, who will prepare a selected set of catalysts based on my findings.
A multi-path progression model for synchronization of arterial traffic signals

To contend with congestion and spillback on commuting arterials, serving as connectors between freeway and surface-street flows, this paper presents three multi-path progression models to offer progression bands for multiple critical path-flows contributing to the high volume in each arterial link. The first proposed model is a direct extension of MAXBAND under a predetermined phasing plan, but using the path-flow data to yield the progression bands. The second model further takes the phase sequence at each intersection as a decision variable, and concurrently optimizes the signal plans with offsets for the entire arterial. Due to the competing nature of multi-path progression flows over the same green duration, the third model is proposed with a function to automatically select the optimal number of paths in their bandwidths maximization process. The results of extensive simulation studies have shown that the proposed models outperform conventional design methods, such as MAXBAND or TRANSYT, especially for those arterials with multiple heavy path-flows. The research results from this study have also reflected the need to collect more traffic pattern data such as major path-flow volumes, in addition to the typical intersection volume counts.
Horizon 2020: h2020-sga-infra-geant-2018 topic [b] increase of long-term backbone capacity

The GN4 Phase 3 Network (GN4-3N) proposal for part b of the third Specific Grant Agreement (SGA3(b) is made in response to the H2020-SGA-INFRA-GEANT-2018 (Topic [b] Research and Education Networking) call, received 17 October 2018, under the 68-month Framework Partnership Agreement (FPA) established between the GÉANT Consortium and the European Commission in April 2015.  It is  proposed to last 48 months to implement, as the call requests, a very ambitious restructuring of the backbone network operated by GÉANT in order to provide equal access to clouds and other e-infrastructure services in the European research area and beyond.  It will improve the overall resilience and reliability of the GÉANT network significantly and offer a base for future improvements in access, transmission speeds and capacity wherever needed.
The outcome of GN4-3N project will offer uniform network access and choice of services to many more partners, eliminating the ""digital divide"" wherever technically and economically feasible. 
This project proposal is based on technical and economic studies carried out during 2017-2018 in the GN4-2 project which have given the Consortium clarity on the resourcing, financial and effort, needed to realise the huge ambition of this undertaking.  It exclusively covers the engineering, procurement, acquisition and installation of the new backbone network. The day-to-day network operations as the elements of it is commissioned is the responsibility of the teams described in accompanying the GN4-3 project.
The GN4-3 and GN4-3N proposals are intimately connected through common teams and the technical, management and procurement expertise built-up over previous GN projects. This is what makes this ambitious proposal realistic. GN4-3N and GN4-3 have simply had to be proposed as distinct projects, due to the different funding model (with no depreciation) to be used in GN4-3N project.
Low-Regularity and high oscillations: numerical analysis and computation of dispersive evolution equations

Partial differential equations (PDEs) play a central role in mathematics, allowing us to describe physical phenomena ranging from ultra-cold atoms (Bose–Einstein condensation) up to ultra-hot matter (nuclear fusion), from learning algorithms to fluids in the human brain. To understand nature we have to understand their qualitative behavior: existence and long time behavior of solutions, their geometric and dynamical properties – as well as to compute reliably their numerical solution. While linear problems and smooth solutions are nowadays well understood, a reliable description of ‘non-smooth’ phenomena remains one of the most challenging open problems in computational mathematics since the underlying PDEs have very complicated solutions exhibiting high oscillations and loss of regularity. This leads to huge errors, massive computational costs and ultimately provokes the failure of classical schemes. Nevertheless, ‘non-smooth phenomena’ play a fundamental role in modern physical modeling (e.g., blow-up phenomena, turbulences, high frequencies, low dispersion limits, etc.) which makes it an essential task to develop suitable numerical schemes. The overall ambition of LAHACODE is to make a crucial step towards closing this gap – addressing the fundamental question: How and to what extent can we reproduce the qualitative behavior of differential equations in a finite (discretized) world? LAHACODE is situated at the challenging frontiers of analysis and numerics. The main objective is to develop a novel class of numerical schemes for nonlinear PDEs with strong geometric structure at low regularity and high oscillations. The key idea in the construction of the new schemes is to tackle and deeply embed the underlying structure of resonances in the numerical discretizations. As in the continuous case, these terms are central to structure preservation, and provide the new schemes with remarkable properties – allowing reliable approximations where classical schemes fail.
Collecting History Imprints from Russia in the Age of the New Official Historiographic Agenda

The selection and acquisition of contemporary research-quality Russian and Soviet history imprints from Russia is presenting increasingly formidable challenges for institutions with mandates to collect and preserve this category of material. This situation promises to worsen, as, increasingly, the administration of the Russian Federation appears to be preparing to enforce an official historiographic agenda. The agenda, inferred over the past several years by many professional observers and interpreters of the Russian administration’s words and deeds, is to promote a view of the country’s twentieth-century history which reactivates World War II-era nationalist narratives, justifies a centralized authoritarian model of government, and cultivates a sense of estrangement from the West. Anticipating that high-level historical scholarship on particular aspects of Russian history might become an endangered genre in the Russian publishing arena—and that such publications might become increasingly difficult to ide...
Study of the effects of surface modification by thermal shock method on photocatalytic activity of TiO2 P25

Abstract In this study, we have modified TiO2 P25 photocatalyst by thermal shock method at different temperatures in order to study the effects of thermal shock process on the crystal structure, surface properties and photocatalytic activity. The thermal-shock-modified catalysts were respectively characterized by X ray diffraction (XRD), scanning electronic microscopy (SEM), X ray photoelectron spectroscopy (XPS) and UV–vis diffuse reflectance spectra and compared with thermal-shock-fluorinated TiO2 catalysts. The photocatalytic activity was evaluated via the degradation of methylene blue under UV and visible light irradiation. The results show that the deficiency of oxygen on the surface of catalysts created by thermal shock at 500 °C can enhance the photocatalysis under both UV and visible light. Moreover, when the thermal shock was combined with the fluorination of TiO2, the photocatalytic performance was further improved. However, the thermal shock from 700 °C promoted the growth of particles and the phase transition from anatase to rutile, which resulted in two different effects: inhibit the photocatalysis under UV irradiation but improve it under visible irradiation.
The Effect of “Toggling” on the Pullout Strength of Bone Screws in Normal and Osteoporotic Bone Models

This study tests the hypothesis that screw toggling will reduce the pullout strength of bone screws. Pullout strength of cortical (cylindrical) and cancellous (tapered by 4°) bone screws were measured without and after toggling (movement caused by a force perpendicular to the screw axis) by ± 1 mm in polyurethane foam intended to mimic normal (density 0.32 g.cm -3 ) and osteoporotic (density 0.16 g.cm -3 ) bone. Toggling had no significant effect in decreasing the strength of fixation of cortical or cancellous screws inserted in the normal and osteoporotic bone models. Analysis of the screws that had been toggled showed that there was no significant difference (p &gt; 0.05) between the pullout strength of cancellous and cortical screws (when pulled out from the same material). The results provide insights into some mechanical aspects of the pullout strength of bone screws and will aid understanding of the mechanism of screw toggling in vivo.
Shadow patching: Minimizing maintenance windows in a virtualized enterprise environment

Software is growing bigger and more complex, which results in bugs and defects being no longer dealt as exceptions, but rather as normal artifacts in a software's lifecycle. In fact, many patches are released by vendors on a preset schedule. This implies that managing patches in a correct and timely manner has become an important factor in smoothly running an IT environment. However, when a patch is applied, the affected software is often required to stop temporarily, which can cause a disruption of service. The down time is commonly called a maintenance window. Although sophisticated live patching techniques have been previously proposed, their applicability in practice is very limited. In this paper, we propose a novel patch management technique based on commonly available virtualization capabilities. It allows system administrators to perform a majority of the patch work outside of the maintenance window, such as downloading patches, installing them, and performing post-installation testing and fixes. By capturing the disk activities and replaying them during the actual maintenance window, we can transform a complex software patching operation to a series of more deterministic file I/O operations, and thus, reducing maintenance window from hours to minutes.
Feasibility and Promise of a Remote-Delivered Preconception Motivational Interviewing Intervention to Reduce Risk for Alcohol-Exposed Pregnancy

Alcohol-exposed pregnancy (AEP) is a leading cause of birth defects. Effective face-to-face preconception interventions based on motivational interviewing (MI) exist and should be translated into remote formats for maximum public health impact. This study investigated the feasibility and promise of a one-session, remote-delivered, preconception, MI-based AEP intervention (EARLY Remote) for non-treatment-seeking community women.This was a single-arm, prospective pilot intervention study. All participants received the intervention via telephone and mail. Feasibility of remote-delivery methods, treatment engagement, treatment credibility, MI treatment integrity, and therapeutic alliance were examined. Outcomes were 3- and 6-month drinks per drinking day (DDD), rate of unreliable contraception, and proportion of women at risk for AEP due to continued risk drinking and no or unreliable contraception use.Feasibility of remote delivery was established; participants were engaged by the intervention and rated it as credible. Integrity to MI and therapeutic alliance were good. Both DDD and rate of unreliable contraception decreased significantly over time. Proportions of women who drank at risk levels, used unreliable or no contraception, and/or were at risk for AEP in the past 90 days decreased significantly from baseline to 6 months.Remote delivery was feasible, and the translated remote intervention may reduce AEP risk. Refinement of EARLY Remote may facilitate its placement within a spectrum of effective MI-based preconception AEP interventions as part of a stepped-care approach. EARLY Remote may have an important role within a stepped-care model for dissemination to geographically disperse women at risk for AEP. This could result in substantial public health impact through reduction of AEP on a larger scale.
Presence of a high-flow-mediated constriction phenomenon prior to flow-mediated dilation in normal weight, overweight, and obese children and adolescents

When assessing vasomotor endothelial function by reactive hyperemia, the brachial artery, in some individuals, constricts immediately before beginning to dilate following cuff release. We call this response high-flow-mediated constriction (H-FMC). The aim of this study was to describe the rate of the H-FMC during reactive hyperemia in children and adolescents throughout a range of body mass index (BMI) values, and to investigate differences in flow-mediated dilation (FMD), cardiovascular, and anthropometric measures between subjects with and without H-FMC.FMD was assessed in 136 children and adolescents (61 male, 75 female; 13 ± 3 years) by sonographic imaging of the brachial artery. H-FMC was characterized as the lowest point from the baseline brachial artery diameter immediately following reactive cuff release. Independent t tests were used to compare subjects with and without H-FMC.H-FMC was observed in 91 of the 136 participants (66.9%). No significant difference was found between H-FMC and non-H-FMC subjects for age (p = 0.602), gender (p = 0.767), height (p = 0.227), or weight (p = 0.171). BMI percentile was nonsignificantly higher (91.8 ± 4.9th versus 84.6 ± 22.8th percentile, p = 0.057) and FMD was significantly lower (5.43 ± 3.41% versus 8.05 ± 3.97%, p < 0.001) in H-FMC than in non-H-FMC subjects. Adding H-FMC to FMD produced no significant difference between H-FMC and non-H-FMC individuals (8.03 ± 3.27% versus 8.05 ± 3.97%, p = 0.977).Approximately 67% of participants demonstrated an H-FMC during reactive hyperemia. BMI percentile was nonsignificantly higher and FMD was significantly lower in children and adolescents who displayed this phenomenon.
ELECTRICAL CONNECTIVITY WITHIN ARCHITECTURAL GLAZING FRAME SYSTEMS

A system for providing an electrical interface (10) across a sealed boundary (2,3) may include a frame (1,9A) in sealed engagement with at least a portion of a substrate (12,13). The substrate (12,13) may be in communication with an electrochromic device. The system may further include first and second conduits (75,80). The first conduit (75) may be on a first side of the substrate (12,13) and a second conduit (80) may be on a second side of the substrate. The second conduit (80) may be in communication with the first conduit (75) through at least one of the seal (2,3), a space between the seal (2,3) and the frame (1,9A), and a space between the seal (2,3) and the substrate (12,13).
Finding Complex Features for Guest Language Fragment Recovery in Resource-Limited Code-Mixed Speech Recognition

The rise of mobile devices and online learning brings into sharp focus the importance of speech recognition not only for the many languages of the world but also for code-mixed speech, especially where English is the second language. The recognition of code-mixed speech, where the speaker mixes languages within a single utterance, is a challenge for both computers and humans, not least because of the limited training data. We conduct research on a Mandarin-English code-mixed lecture corpus, where Mandarin is the host language and English the guest language, and attempt to find complex features for the recovery of English segments that were misrecognized in the initial recognition pass. We propose a multi-level framework wherein both low-level and high-level cues are jointly considered; we use phonotactic, prosodic, and linguistic cues in addition to acoustic-phonetic cues to discriminate at the frame level between English- and Chinese-language segments. We develop a simple and exact method for CRF feature induction, and improved methods for using cascaded features derived from the training corpus. By additionally tuning the data imbalance ratio between English and Chinese, we demonstrate highly significant improvements over previous work in the recovery of English-language segments, and demonstrate performance superior to DNN-based methods. We demonstrate considerable performance improvements not only with the traditional GMM-HMM recognition paradigm but also with a state-of-the-art hybrid CD-HMM-DNN recognition framework.
Automated functional screening of iggs for diagnostics of neurodegenerative diseases

The project proposes to organize the exchange of staff of three Academic institutions from Serbia (coordinator), Turkey and Finland, two  SMEs from France and Turkey and three TC institutions (two from USA and one from Costa Rica) towards the production of an innovative automated multifunctional  device for diagnostics of neurodegenerative diseases.
 The objectives addressed will be:
•	Development of experimental cellular models and procedures with immunoglobulins (IgGs) from patient sera as diagnostic and prognostic technologies related to neurodegenerative diseases (particularly based on studies of amyotrophic lateral sclerosis - ALS).
•	Defining mark-up characteristics of the standardized in vitro approach for personalized diagnostic protocols.
•	Design of a small-scale platform based on automated fluorescence microscopy.
These objectives are based on previous studies on ALS of the coordinators group, however the project also proposes to study the applications on other neuroinflammations and neurodegenerative conditions. This addresses a relevant R & I as well as a socioeconomic medical issue. It is the right timing for addresing this research chalange towards application by means of networking that will deal with interesectorial and international exchange of expertise. In addition, three workshops and two training schools will be organized followed by an elaborate dissemination programme. Carrier plans will be designed for the seconded staff in order to maintain the sustainability of the Action.
European research infrastructures in the international landscape

RISCAPE will provide systematic, focused, high quality, comprehensive, consistent and peer-reviewed international landscape analysis report on the position and complementarities of the major European research infrastructures in the international research infrastructure landscape. 
To achieve this, RISCAPE will establish a close links with a stakeholder panel representing the main user groups of the report, including representatives from ESFRI, the OECD and Member state funding agencies to ensure usability and the focus of the Report. It will also benefit from close co-operation with other projects and initiatives in the European research infrastructures development to ensure consistency with the existing landscape work. Particularly, RISCAPE builds on the European Research Infrastructures (RIs) in the ESFRI landscape report (2016) and on the landscape analysis done or currently underway in the H2020 cluster projects. RISCAPE leverages the experts on the European RIs with extensive knowledge on the disciplines involved and RI development in Europe and the  project benefits from the contacts and tools developed in the cluster- and international RI collaboration projects to maximize the discipline-specific usability of the results. 
A key factor in the RISCAPE analysis is that the complementarities will be analyzed in a way which is natural and suitable for the discipline and RI in question. The resulting Report and the used methods will be independently peer reviewed to maximize the usability and objectivity of the information provided for the EU strategic RI development and policy. 
The project answers directly to the European Commission strategy on EU international cooperation in research and innovation, particularly on the need to obtain objective information in order to help implement the (EC) strategic approach.