Miracle-dz/UniFAR-FTUs huggingface dataset:
An experimental and numerical simulation study of toe-to-heel air injection for an extra-heavy oil reservoir

ABSTRACT: CAGD is a novel ISC process which inherits the advantages of both ISC and SAGD. It utilizes a horizontal production well near the bottom of reservoir, and a vertical/horizontal injection well in the upper part. After ignition, a combustion zone expands to heat up oil which then mobilizes downward by gravity drainage to the bottom horizontal producer. THAI is a promising type of CAGD that uses a vertical injection well to inject air. This paper examines the efficacy of a THAI process on an extra-heavy oil reservoir in Xinjiang Oilfield, China. A combustion cell was designed based on similarity criterion to carry out the combustion experiment. Then a matching simulation model was established based on the experimental parameters to further explore the applicability of THAI to the targeted reservoir. The results show that ultimate recovery of 81% OOIP was achieved in the THAI experiment. More than 70% of injected oxygen was consumed in the combustion reaction, and the experimental oil was ungraded by 3.8° compared with its original value of 14.8° API. Furthermore, four different THAI well patterns were studied in the numerical model. It is revealed that VIHP got the best development performance for the Fengcheng extra-heavy oil reservoir.
Genome-Wide Association Mapping for Heat and Drought Adaptive Traits in Pea

Heat and drought, individually or in combination, limit pea productivity. Fortunately, substantial genetic diversity exists in pea germplasm for traits related to abiotic stress resistance. Understanding the genetic basis of resistance could accelerate the development of stress-adaptive cultivars. We conducted a genome-wide association study (GWAS) in pea on six stress-adaptive traits with the aim to detect the genetic regions controlling these traits. One hundred and thirty-five genetically diverse pea accessions were phenotyped in field studies across three or five environments under stress and control conditions. To determine marker trait associations (MTAs), a total of 16,877 valuable single nucleotide polymorphisms (SNPs) were used in association analysis. Association mapping detected 15 MTAs that were significantly (p ≤ 0.0005) associated with the six stress-adaptive traits averaged across all environments and consistent in multiple individual environments. The identified MTAs were four for lamina wax, three for petiole wax, three for stem thickness, two for the flowering duration, one for the normalized difference vegetation index (NDVI), and two for the normalized pigment and chlorophyll index (NPCI). Sixteen candidate genes were identified within a 15 kb distance from either side of the markers. The detected MTAs and candidate genes have prospective use towards selecting stress-hardy pea cultivars in marker-assisted selection.
Process-Based Evaluation of Stochastic Perturbed Microphysics Parameterization Tendencies on Ensemble Forecasts of Heavy Rainfall Events

Stochastic model error schemes, such as the stochastic perturbed parameterization tendencies (SPPT) and independent SPPT (iSPPT) schemes, have become an increasingly accepted method to represent model error associated with uncertain subgrid-scale processes in ensemble prediction systems (EPSs). While much of the current literature focuses on the effects of these schemes on forecast skill, this research examines the physical processes by which iSPPT perturbations to the microphysics parameterization scheme yield variability in ensemble rainfall forecasts. Members of three 120-member Weather Research and Forecasting (WRF) model ensemble case studies, including two distinct heavy rain events over Taiwan and one over the northeastern United States, are ranked according to an area-averaged accumulated rainfall metric in order to highlight differences between high- and low-precipitation forecasts. In each case, high-precipitation members are characterized by a damping of the microphysics water vapor and temperature tendencies over the region of heaviest rainfall, while the opposite is true for low-precipitation members. Physically, the perturbations to microphysics tendencies have the greatest impact at the cloud-level and act to modify precipitation efficiency. To this end, the damping of tendencies in high-precipitation forecasts suppresses both the loss of water vapor due to condensation and the corresponding latent heat release, leading to grid-scale supersaturation. Conversely, amplified tendencies in low-precipitation forecasts yield both drying and increased positive buoyancy within clouds.
Comparing Factors Shaping Sexual Violence Perpetration for Sexual and Gender Minority Youth and Cisgender Heterosexual Youth

Sexual and gender minority (SGM) youth experience higher rates of sexual violence victimization than their cisgender heterosexual counterparts. Very little is known about how the minority status of SGM youth contextualizes their victimization and perpetration experiences. In one-on-one interviews with 39 SGM youth and 11 cisgender heterosexuals (non-SGM) youth, we compared the contextual factors shaping sexual violence victimization and perpetration between the two groups using a qualitative descriptive approach. Interviews highlighted how SGM youth continue to experience extensive discrimination that negatively impacts all aspects of their lives, while non-SGM youth do not discuss having to navigate stigma and discrimination in their lives. SGM youth pointed to a lack of understanding of sexual violence within the SGM community. Both groups believed that SGM perpetration was unlikely: while most SGM and non-SGM youth agreed that sexual violence between youth was a problem, same-gender perpetration was seldom discussed. Unlike their non-SGM counterparts, SGM youth felt that they were targeted because of their sexual and gender identity. SGM youth also felt that they were more vulnerable to sexual violence because of how they physically looked, particularly if their gender expression did not match cis-normative expectations. SGM youth reported facing unique pressures when seeking support as a victim, particularly a fear of being outed or stigmatized as part of the process. They also conveyed that SGM people worried about being treated unfairly if they reported sexual violence to authorities. Findings suggest that stigma and concerns of discrimination are unique aspects of sexual violence for SGM compared to non-SGM youth. All youth need to have access to sexual violence prevention education that includes SGM and non-SGM youth as both victims and perpetrators to begin addressing these noted disparities in experiences.
The analysis of offshore foundations subjected to combined loading

This thesis is concerned with four different types of offshore foundations, namely gravity foundations, jack-up foundations, the mudmats for piled jacket structures and caisson foundations for jacket structures. In most applications, these can be idealised as circular rigid foundations. Unlike onshore foundations, offshore foundations are subjected to large horizontal and moment loads. This research used the finite element method to examine the elastic behaviour and stability of circular footings under combined loading. Due to the circular shape of the footings and the combination of vertical, horizontal and moment loads, three dimensional finite element analysis was used. In-depth analyses of the elastic behaviour of circular footings under combined loading (V,H,M) were performed. The vertical stiffness coefficient was investigated using two dimensional axi-symmetric analyses whereas three dimensional analyses were used to examine the other coefficients. Different features of offshore foundations such as footing embedment and cone angle were taken into consideration. Based on the numerical results, a set of empirical expressions for elastic stiffness coefficient was derived. For footing stability calculations, large horizontal or moment loads can cause the footing to lose contact with the soil, or cause the footing to slide relative to the soil. In finite element analyses, this loss of contact and sliding are modelled by interface elements. A new zero-thickness iso-parametric interface element was formulated for both two and three dimensional analyses. An exact close formed solution for integration of the stress-strain relationship (for the two dimensional interface element) was found. The element is then used to explore footing stability. It was shown that by using a yield criteria which allows the interface to behave as either frictional or cohesive interface, depending upon the normal stress, numerical stability is achieved. The footing stability was examined by establishing the bearing capacity envelope. The envelopes for footings on undrained clays were established for surface flat strip footings and for surface flat circular footings. The effects of soil strength varying with depth, cone angle and embedment on the bearing capacity envelope were also investigated.
Application of ANP methodology in evaluation of advanced technologies

Purpose – The purpose of this paper is to develop a decision tool to help managers make more informed decisions regarding their investments in advanced manufacturing technologies.Design/methodology/approach – Selection of a new technology is multidimensional in nature and interdependent relationships exist among various elements of the system. In addition, both quantitative and qualitative factors need to be considered in the evaluation process. The Analytic Network Process (ANP) methodology satisfies these requirements by considering interdependencies among all the factors and by allowing transformation of qualitative judgments into quantitative values for the decision analysis. These capabilities of ANP make it a perfect methodology for use in the development of our decision tool. Once technology alternatives and selection criteria are identified by the decision maker, several pair‐wise comparisons are conducted to determine local priorities for the selection criteria and alternatives. These priorities .
Consecrating and Desecrating Elite Communities: Fearing and Dealing with Social Deviance in Sweden’s Wealthiest Neighborhood

In this article I report observations from an ethnographic study of a Swedish economic elite community, including interviews with residents and service staff, and participant observations in various social contexts stretching over a period of five years that can contribute to an understanding of how elite communities respond to potential social deviance among its members, such as feelings of insufficiency and stress, thus trying to avoid any ‘desecration’ of their social and cultural capital. Specifically, I examine how the practices through which desecration is avoided, for example the exclusion of unwanted members, interplay in the further consecration of the communities, thus maintaining and strengthening elites’ status and standing, Studying the problems and difficulties experienced by elites in their neighborhood settings, and how they try to manage them, is potentially an important step forward to better analyze and understand the way powerful groups in contemporary society maintain and strengthen their privileges and power.
Combining Graph Convolutional Neural Networks and Label Propagation

Label Propagation Algorithm (LPA) and Graph Convolutional Neural Networks (GCN) are both message passing algorithms on graphs. Both solve the task of node classification, but LPA propagates node label information across the edges of the graph, while GCN propagates and transforms node feature information. However, while conceptually similar, theoretical relationship between LPA and GCN has not yet been systematically investigated. Moreover, it is unclear how LPA and GCN can be combined under a unified framework to improve the performance. Here we study the relationship between LPA and GCN in terms of feature/label influence, in which we characterize how much the initial feature/label of one node influences the final feature/label of another node in GCN/LPA. Based on our theoretical analysis, we propose an end-to-end model that combines GCN and LPA. In our unified model, edge weights are learnable, and the LPA serves as regularization to assist the GCN in learning proper edge weights that lead to improved performance. Our model can also be seen as learning the weights of edges based on node labels, which is more direct and efficient than existing feature-based attention models or topology-based diffusion models. In a number of experiments for semi-supervised node classification and knowledge-graph-aware recommendation, our model shows superiority over state-of-the-art baselines.
Sequence and vector shapes vaccine induced antibody effector functions in HIV vaccine trials

Despite the advent of long-acting anti-retroviral therapy able to control and prevent infection, a preventative vaccine remains a global priority for the elimination of HIV. The moderately protective RV144 vaccine trial suggested functional IgG1 and IgG3 antibodies were a potential correlate of protection, but the RV144-inspired HVTN702 validation trial failed to demonstrate efficacy despite inducing targeted levels of IgG1/IgG3. Alterations in inserts, and antigens, adjuvant, and regimen also resulted in vaccine induced target quantitative levels of the immune correlates, but drove qualitative changes to the humoral immune response, pointing to the urgent need to define the influence of vaccine strategies on shaping antibody quality, not just quantity. Thus, defining how distinct prime/boost approaches tune long-lived functional antibodies represents an important goal in vaccine development. Here, we compared vaccine responses in Phase I and II studies in humans utilizing various combinations of DNA/vector, vector/vector and DNA/protein HIV vaccines. We found that adenoviral vector immunization, compared to pox-viral vectors, resulted in the most potent IgG1 and IgG3 responses, linked to highly functional antibody activity, including assisting NK cell related functions. Minimal differences were observed in the durability of the functional humoral immune response across vaccine regimens, except for antibody dependent phagocytic function, which persisted for longer periods in the DNA/rAd5 and rAd35/rAd5 regimen, likely driven by higher IgG1 levels. Collectively, these findings suggest adenoviral vectors drive superior antibody quality and durability that could inform future clinical vaccine studies. Trial registration: ClinicalTrials.gov NCT00801697, NCT00961883, NCT02207920, NCT00125970, NCT02852005).
Prognosis and New Predictors of Early Left-Ventricular Thrombus Following ST-Elevation Myocardial Infarction

Objective In the current era of primary percutaneous coronary intervention (PPCI), the prognosis of the left ventricular thrombus (LVT) is not well assessed. Methods We performed a retrospective, single-center study of 1305 consecutive ST-segment-elevation myocardial infarction (STEMI) patients treated with PPCI. During a mean period of 27 months of follow-up, the major adverse cardiovascular and cerebrovascular events (MACCE) were recorded. Results The incidence of LVT (n = 47) was 3.60%. The independent risk factors of LVT included anterior STEMI, left ventricular (LV) aneurysm, reduced LV ejection fraction (LVEF), dilated LV end-diastolic dimension (LVEDD), and delayed door-to-balloon time (DTBT). During follow-up, LVT was an independent risk factor for MACCE [hazard ratio (HR)=3.46; 95% confidence interval (CI) = 2.23–3.38; P < 0.01]. Patients with LVT were more likely to have the following complications: heart failure (P < 0.001), embolic events (P = 0.034), and all-cause mortality (P = 0.020). Notably, the regression of LVT was not independently associated with those three adverse events (P > 0.05). Conclusion In the era of PPCI, the presence of early LVT following STEMI was associated with adverse events. Furthermore, the prognosis of patients with LVT did not improve even if the LVT regressed. LVT was likely a generalized indicator of impaired cardiac performance, rather than the cause. This indicated that prophylactic therapy and identifying individuals with a high risk of developing LVT were of substantial importance.
Design and implementation of attitude control algorithm of a satellite on a three-axis gimbal simulator

In this paper, a simple and low-cost three-axis gimbal simulator is introduced. This simulator has been constructed in Amirkabir University of Technology and is used for implementation of attitude control algorithms of remote-sensing satellites in a real time condition using three reaction wheels as hardware in the loop test-bed. This simulator is modeled in Solidworks software package to determine its mass properties in order to utilize in obtaining the dynamic model of the simulator. Afterward, an attitude control algorithm is designed. Performance of the designed attitude control algorithm is investigated by implementing it on the simulator.
Integrated Multistage Self-healing in Smart Distribution Grids Using Decentralized Multiagent

Smart self-healing is perceived as a new alternative to ensure reliability and quality of power supply with the development of intelligent communication and control technology. On the basis of multistage characteristics of self-healing control, this article proposes an integrated multistage self-healing strategy for smart distribution systems using multiagent system (MAS), in which the complex self-healing problem is decomposed into phased sub-problems and is addressed by a unified control framework composed of different algorithms of stages. In the proposed control framework, decision-making agents vary with fault points and transition between self-healing stages making the technique fully decentralized. Stressing on the coordination between stage algorithms composed of communication self-adaption, fault tolerance, fault location and isolation, service restoration and state regression, the proposed strategy features well real-time control performance and relatively complete self-healing functions. Comprehensive simulation studies are carried out on the 84-bus and 22-bus distribution systems using MATLAB and JADE and the self-healing test platform respectively, and the test results have shown the effectiveness of the proposed strategy.
Improving the Hydraulic Effects Resulting from the Use of a Submerged Biofiter to Enhance Water Quality in Polluted Streams

Water scarcity is one of the most serious problems facing many countries. In addition, water pollution could lose more water. A submerged biofilter (SB) is used to enhance the self-purification process in polluted streams. However, most previous studies have focused on the efficiency of SB to remove pollutants and there is a lack of studies investigating the hydraulic changes in streams. The current paper aimed to study the hydraulic effects of SB on the flow behavior in streams and how to improve it. An empirical equation for determining the flow rate through SB was developed. Different cases were studied to improve the hydraulic effects resulting from the use of SB. The effect of increasing SB length was tested using different SB lengths. The results showed that increasing the length increased the upstream water depth (h1) and relative heading up (h1/h2). In the second case, comparison between continuous and fragmented SB was tested. The results showed that a fragmented biofilter increased the upstream water depth and the relative heading up. Case three tested the effect of SB height. Different SB heights were tested with a fixed length and constant flow rate. The results revealed that the upstream water depth and relative heading up decreased when the biofilter height decreased. Case four tested the effect of SB with a fixed volume and constant flow rate. In this case, the length and height of SB were changed where the volume was fixed. The results showed that the relative heading up decreased when the SB height decreased and the length increased, which revealed that the SB height can improve the hydraulic impacts. Finally, the use of SB to improve the water quality in polluted streams led to an increase of the relative heading up, which can be reduced by decreasing the height of SB.
The Implementation of Social Networking as a Tool for Improving Student Participation in the Classroom

This paper details the implementation of social networking tools in the classroom as a mechanism to enable undergraduate student “passengers” to become more active participants in their learning. Tools exist that allow teaching staff to embed social networking into their teaching materials. Using a tool (Twitter) that many of these students are already intimately familiar with in their social lives (Smith and Caruso, 2010), students were able to interact with the academic through devices such as iPhones, iPads and laptops (which students already own) and have their queries appear directly on the lecture slides as twitter posts during the lecture without needing to interrupt the class. The lecturer then used this feedback to amend their teaching style and provide a response to queries and comments. This paper outlines the benefits and challenges of using this tool and provides guidance for academics attempting to use Twitter in their classroom in the future.
Reefscapes of fear assess tradeoffs of risk and reward on coral reefs

Degradation of coral reef habitats changes the abundance and community composition of fishes due in part to changes in the ecology of fear. The ecology of fear sees the predator-prey system as a dynamic game of behavioral responses to perceived risk with population and community level consequences. We measure spatial variation in predation risk as landscapes of fear. We consider changes in predation risk with habitat quality and examine the effects of fear on coral reefs in Kāne‘ohe Bay, O‘ahu, Hawai‘i. First, we associate fish and benthic communities on patch reefs with varying degradation due to invasive algae (Euchema spp. and Kappaphycus spp.). Next, we quantify the spatio-temporal variation of risk (reefscape of fear) of a common Hawaiian fish (saddle wrasse, hīnālea lau wili, Thalassoma duperrey) across reefs of varying degradation. Finally, we assess the tradeoffs in resource availability and predation risk on these reefs. At the scale of whole reefs, saddle wrasse responded to perceived risk. Intensity of patch use (measured by giving-up densities) by wrasse indicated risky reefs. Such reefs differed in benthic and fish community composition. We demonstrated the impact of an altered reefscape of fear due to habitat degradation. Habitat degradation seems to influence the tradeoff between resource availability and safety. From wrasse abundances and their patch use behavior we can classify the reefs into categories based on risk and resource availability. Allowing fish to reveal their perceptions of habitat qualities through their behaviors provides critical information for assessing and monitoring reefs.