Miracle-dz/UniFAR-FTUs huggingface dataset:
Design of a Fuzzy FOPID Controller for Power Level Control of a Pressurized Water Reactor

Nuclear Power Plants (NPP) are a compact source of clean energy. It is also arguably economically competitive and not prone to changes in climate. NPPs employ mature and tested technologies because of the premium placed on safety in the nuclear industry. The industry has therefore been slow to adopt modern control methodologies, a reason why a majority of the plants still use PID controllers. However, NPPs need to modernize so as to become more economically competitive. In this regard, this paper seeks to design a fuzzy fractional-order PID controller for power level control of a Pressurized Water Reactor. The choice of FOPID is due to the fact that they maintain the advantages offered by classical PID Controllers while giving more flexibility due to the extra control parameters it contains. A one-point kinetic model of a nuclear reactor is used to design ten controllers at various relative power levels and T-S fuzzy logic used in gain scheduling of the controller. A Simulink model is implemented, and the effectiveness of the controller in comparison to the classical PID controller is done. The results show that the designed FOPID is feasible for power level control of a pressurized water reactor.
Coastal Erosion of the Russian Arctic: An Overview

ABSTRACT Ogorodov S.A. , Aleksyutita D.M. et al., 2020. Coastal erosion of the Russian Arctic: An overview. In: Malvárez, G. and Navas, F. (eds.), Global Coastal Issues of 2020. Journal of Coastal Research, Special Issue No. 95, pp. 599-604. Coconut Creek (Florida), ISSN 0749-0208. An overview of 16 sites of coastal erosion monitoring at the fastest retreating key sites across the Russian Arctic was made. All of these coasts are composed by permafrost, creating specific conditions of their evolution and making them very sensitive to sea ice reduction and ice-free period increase along with the temperature growth, resulting from the ongoing climate change. Erosion of permafrost coasts is among the fastest destructive geomorphic processes in the Arctic. For each key area, data from literature on sediment composition, coastal morphology, permafrost properties and climate evolution were collected, assessed and compared. Rates of coastal retreat in the XX-XXI century derived from direct field measurements and processing of remotely sensed data were analyzed; mechanisms and drivers of coastal erosion were estimated. Patterns of spatial variability and temporal evolution of the coasts were suggested. The influence of different factors of coastal dynamics on thermodenudation (destruction of the bluffs during thawing of permafrost and ground ice) and thermoabrasion (erosion resulting from direct contact of waves with the frozen bluff) was estimated.
Spatiotemporal Variability of Coastal Retreat Rates at Western Yamal Peninsula, Russia, based on Remotely Sensed Data

ABSTRACT Belova, N.G. ; Novikova, A.V. ; Günther, F. , and Shabanova, N.N. , 2020. Spatiotemporal variability of coastal retreat rates at Western Yamal Peninsula, Russia, based on remotely sensed data. In: Malvárez, G. and Navas, F. (eds.), Global Coastal Issues of 2020. Journal of Coastal Research, Special Issue No. 95, pp. 367–371. Coconut Creek (Florida), ISSN 0749-0208. The work aims at estimating coastal retreat at Western Yamal from 1972 to 2016, when significant climate change occurred in the Arctic. One fourth of the Kara Sea coasts are collapsing cliffs composed of permafrost, i.e. thermoabrasional coasts. Although these coasts are bounded by sea ice for most of the year, they retreat with rates comparable to those of temperate latitudes, but only during the short ice-free period. Permafrost cliffs are not only eroded by waves; they also get destroyed by melting of the ground ice bounding the sediments (thermo-denudation). Arctic coasts are sensitive to climate change, as rising summer air temperatures lead to deeper thawing of frozen sediments, and longer ice-free periods extend the time of the wave impact on the coast. At Western Yamal, in the area of Kharasavey gas condensate field, the average long-term coastal retreat rate is 1.3 m/yr (1972-2016) for 5.9 km of the coastline, reaching mean annual rates of 3 m/yr in some areas. The greatest retreat rates are typical for coastal segments composed of permafrost with high ice content. Based on the analysis of multitemporal aerial and space images, the coastal retreat rates for four time periods between 1972 and 2016 were estimated. The retreat rates were brought into context with data on sediment composition and type (grain size, ice content, presence of massive ice), reconstructed evolution of hydrometeorological parameters and the history of economic development of Kharasavey area. Unlike other Kara Sea sites of coastal dynamics' monitoring, the strongest coastal retreat rates at Kharasavey were observed earlier in 1977-1988, when the hydrometeorological stress was low, implying vulnerability of the coasts to significant anthropogenic impact at the beginning of the gas field development.
"Do you think it is going to be the cock?": using ambient shadow projection in dialogic reading

In this paper we present a lamp prototype that projects controllable shadows to create an ambient backdrop for dialogic reading between parents and their children. The lamp uses four electrochromic displays that allow masking the light and thereby control the shadows that are projected upward onto the ceiling. The displays can switch between general ambience picture and a certain story point in a Smurf book. These displays were used in a reading study with parents reading for their children and a focus group session. The results indicate that the lamp helped in spurring interest and a dialog about the story being read. The used technology proved to be implicitly triggering questions and discussion about the story by creating suspension when switching between the different shadows.
DSREFC: Improving Distantly-supervised Neural Relation Extraction Using Feature Combination

Distant supervisory relationship extraction can automatically align the expected entity pairs, and automatically obtain a large number of annotation data, thus saving a lot of labor costs. However, the automatic acquisition of annotated data will lead to the introduction of noise data, making little effect of relation extraction task. To solve this problem, we propose the relation extraction model DSREFC, which integrates semantic features and syntactic features into the representation and uses attention mechanism to obtain bag representation. The DSREFC model has three characteristics: 1) The BERT+Bi-LSTM is used as the text representation extractor to extract the semantic information of the text. 2) the grammatical information is extracted with the GCN network used in the text, and combine theBi-LSTM output with the GCN output to obtain a distributed representation of each token. 3) The two-step attention mechanism is used to remove the influence of the noise data by giving the noise data a lower weight value. Attention is used to obtain the sentence representation for each token and attention is used to obtain the packet representation for each sentence in the packet. Experiments show that the DSREFC model combining semantic features and grammatical features can significantly improve the effect of relation extraction.
The Research on Feature Extraction Method of ECG Signal Based on KPCA Dimension Reduction

Electrocardiogram(ECG) contains abundant human body information and plays an important role in heart disease analysis. At present, the analysis of ECG is a quantitative or qualitative analysis of the amplitude or time interval of the relevant feature points mainly based on its time-domain waveform, and the extracted feature dimensions are high and contain redundant information. This paper first extracts 7 linear features and 9 nonlinear features from the ECG signals, then uses the KPCA algorithm to extract low-dimensional principal component features from the high-dimensional original feature space. The experimental results show that the extracted original features have significant statistical difference between normal rhythm group and arrhythmia group (p<0.05), which provides a basis for subsequent principal component features extraction, and when only 5 principal components are retained, its cumulative contribution rate exceeds 90%, and the effect is better than the PCA algorithm.
Short-term Volumetric Changes of Berm and Beachface during Storm Calming

ABSTRACT Bugajny, N. and Furmańczyk, K. , 2020. Short-term volumetric changes of berm and beachface during storm calming. In: Malvárez, G. and Navas, F. (eds.), Global Coastal Issues of 2020. Journal of Coastal Research, Special Issue No. 95, pp. 398–402. Coconut Creek (Florida), ISSN 0749-0208. The storm calming coastal processes are presented in the paper. Within these hydrodynamic conditions, the most intensive changes take place on the berm, the beachface and the nearshore, where erosion and accumulation processes are observed. This research was carried out along an approx. 300 m long section of the dune coast of the southern Baltic Sea, in the area of Dziwnow Spit. The measurements were taken using GPS RTK within four days, twice a day. Consecutive profiles were located in about 20 m distance from each other covering the most dynamic part of the beach and the shallow bottom to a depth of about 0.5 m. In order to compare volumetric changes in the profiles, a 1 m grid along every profile was created. Next, a rate of those changes was calculated for each grid. During the storm calming, the significant wave height changed from 1.0 m to 0.2 m from SW to SE direction, and the water level dropped down by 20 cm. A diversified rate of volumetric changes of the beach in time and space was identified, depending on profile location along the coast. Also, temporal and spatial differentiation of the beach volumetric change rate was found, depending on profile location and its parts. The beach accumulation rate did not exceed 0.012 m3/m/h, and erosion - 0.019 m3/m/h, while in the shallow bottom, the accumulation rate did not exceed 0.030 m3/m/h, and erosion rate - 0.020 m3/m/h. The diversity of these processes in time and space are observed and they are related to hydrodynamic conditions. The obtained results will help to understand the accumulation processes during the storm calming in non-tidal environments.
Predicting Compartment-scale Climate Change Impacts Related to Southern Ocean Wave Forcing: Port Fairy, Victoria, Australia

ABSTRACT Leach, C. ; Kennedy, D.M. ; Carvalho, R.C. , and Ierodiaconou, D. , 2020. Predicting compartment-scale climate change impacts related to Southern Ocean wave forcing: Port Fairy, Victoria, Australia. In: Malvárez, G. and Navas, F. (eds.), Global Coastal Issues of 2020. Journal of Coastal Research, Special Issue No. 95, pp. 1157-1161. Coconut Creek (Florida), ISSN 0749-0208. On the southern coast of Australia one of the principle impacts of climate change will be a change in wave magnitude and direction resulting from intensification of the Southern Ocean storm systems. In Victoria, Australia, this is likely to cause significant change in sediment dynamics and possible shoreline re-orientation. In this paper, Port Fairy (western coast of Victoria) is used as a case study to explore the sensitivity of this embayment to changing wave climate conditions. Bed level change rates and spatially variable sediment transport rates are investigated. The results indicate that a southerly shift in the wave climate could intensify sediment transport processes and erosional patterns in this area.
The Ecology of Tick Parasitism on Densely Nesting Peruvian Seabirds

Densely nesting Guanay Cormorants (Phalacrocorax bougainvillii), Peruvian Booby (Sula variegate), and Peruvian Brown Pelican (Pelecanus occidentalis thagus) deserted eggs and young in response to high densities of argasid ticks (Ornithodoros amblus). Alternative causes of desertion such as human disturbance, predation, disease, heat, and food shortage did not fit the evidence. Tick predators were less effective at controlling ticks than were frequent human harvestings of guano. A review of the avian and medical entomological literature indicates that ticks and other ectoparasites may be strong determinants of nesting success and of nest structure and duration of use.
Towards Big Data Analytics and Mining for UK Traffic Accident Analysis, Visualization & Prediction

Road traffic accident (RTA) is a big issue to our society due to it is among the main causes of traffic congestion, human death, health problems, environmental pollution, and economic losses. Facing these fatal and unexpected traffic accidents, understanding what happened and discover factors that relate to them and then make alarms in advance play critical roles for possibly effective traffic management and reduction of accidents. This paper presents our work to establish a novel big data analytics platform for UK traffic accident analysis using machine learning and deep learning techniques. Our system consists of three parts in which we first cluster accident incidents in an interactive Google map to highlight some hotspots and then narratively visualize accident attributes to uncover potentially related factors, finally we explored several state-of-the-art machine learning, deep learning and time series forecasting models to predict the number of road accidents in the future. The experimental results show that our big data processing platform can not only effectively handle large amount of data but also give new insights into what happened and reasonably prediction of what will happen in the future to assist decision making, which will undoubtedly show its great value as a generic platform for other big data analytics fields.
Visual processing of social stimuli in children with autism spectrum disorder

Despite being a part of the official diagnostics of autism spectrum disorder (asd), whether people with this disease do avoid eye-contact and the view on human faces remains uncertain. An extensive body of eye-tracking research tries to answer this question, but results are inconsistent probably due to different approaches and other methodological specifics. This is the reason for my focus on the topic, where I try to determine factors contributing to this uncertainity and to come closer to the answer. Currently, I am working on a meta-analysis and preparing quasi-experiment, where I compare children with asd and children of the same age with neurotypical development, using eye-tracking technology and pictures with social context, specifically human faces.
A Framework for Event-oriented Text Retrieval Based on Temporal Aspects: A Recent Review

Event, as an important carrier for users to understand the world, has become a special retrieval object. In contrast to traditional text retrieval, Event-oriented Text Retrieval (ETR) can search events by utilizing events knowledge and using events as proxies for information needs. Accordingly, ETR has become the preferred way for users to obtain their interested events from massive web collections. Moreover, it also has already aroused considerable attention from scholars in recent years. However, the retrieval effectiveness of ETR is still subject to the effect of temporal aspects (i.e., temporal dynamics). Thus, in this review, we first analyze three major temporal components in the framework of ETR. After that, we provide a comprehensive overview of state-of-the-art approaches corresponding to such three components. Finally, we summary some ETR-related resources and pinpoint several potential research directions.
Past and Present Utilization of Mangrove Resources in Eastern Africa and Drivers of Change

ABSTRACT Hamza, A.J.; Esteves, L.S. ; Cvitanovic, M. , and Kairo, J., 2020. Past and present utilization of mangrove resources in Eastern Africa and drivers of change In: Malvárez, G. and Navas, F. (eds.), Global Coastal Issues of 2020. Journal of Coastal Research, Special Issue No. 95, pp. 39–44. Coconut Creek (Florida), ISSN 0749-0208. Mangroves offer natural coastal protection and are carbon sinks, playing a key role in mitigating climate change impacts. Despite their recognized importance as the main livelihood of many coastal communities in developing countries, mangroves are being lost at fast rates impacting overwhelmingly the poorest people. The pressures of changing climate and human activities urge a better understanding of the drivers leading to mangrove loss and degradation and the effects on coastal communities. A systematic literature search was undertaken to review the current understanding of how mangroves have been used through time in Kenya and identify the key drivers of change. Results from 32 articles identified extraction of wood for construction and fuel as the major use of mangrove in Kenya. Direct needs of mangrove resources are the major cause of changes in the mangrove areas and this is due to lack of harvesting plans. The paper emphasizes the need to identify ways in which changes in mangroves can become opportunities to improve coastal communities living conditions.
Applications of Capillary Electrophoresis for Rapidly Separating and Characterizing Water-soluble Proteins of Wheat Grains

Separation and analysis of water-soluble proteins (WSP) are important in understanding wheat grain proteome fundamentals. However, due to their high degree of heterogeneity and complexity in the compositions, separating WSP is generally difficult and relevant methodologies are not efficiently developed yet. Capillary electrophoresis (CE) is one of the analytical methods currently used for protein separation and characterization. In the present study, a CE method is established for rapidly separating and characterizing WSP of wheat grains. The established method was tested in various applications including wheat variety and germplasm identification as well as protein synthesis and accumulation studies during different grain development stages subject to genotypic and environmental variations. As results, the characteristic CE patterns of a range of bread wheat cultivars and related species were readily identified. The synthesis and accumulation patterns of wheat WSP during developing grains as well as their stabilities in different environments were also investigated. The technical advancements present in this article appear to be useful for wheat cultivar and germplasm identification as well as genetics and breeding research.
Seed Treatment Optimizes Benefits of Seed Bank Storage for Restoration‐Ready Seeds: The Feasibility of Prestorage Dormancy Alleviation for Mine‐Site Revegetation

Dormant seeds of 18 species from 9 families covering a diverse range of seed dormancy syndromes and life histories from the southwest Australian biodiversity hotspot were assessed for germinability following storage at 15–25°C for 36 months. A total of 10 species with physical dormancy (PY) and 8 with either physiological dormancy (PD) or morphophysiological dormancy (MPD) were assessed as part of the study. Prior to storage, germination from dormant seeds was 1–27%, rising to 41–100% following specific dormancy‐breaking treatments. When seed dormancy was removed prior to storage for 36 months seeds from all species were found to maintain a nondormant state and germinate to a similar level to that observed at the beginning of the experiment (44–100%). Likewise, seeds that did not receive a prestorage dormancy‐breaking treatment maintained a dormant state (0–50% germination) and subsequently responded well to a dormancy‐breaking treatment immediately prior to germination assessment (49–99%). There were minimal differences in response to dormancy‐breaking treatments before and after 36 months storage (average 4–6% difference) and in the germination responses observed between both storage environments assessed (15°C/15% eRH or 15–25°C air dried). Based on these findings, storing seeds in a nondormant state does not alter germinability and this approach provides significant benefits to current seed‐based restoration programs through reduction of double handling and improved seed use efficiency.
Effect of Low Diastolic Blood Pressure to Cardiovascular Risk in Patients With Ischemic Stroke or Transient Ischemic Attacks Under Different Systolic Blood Pressure Levels

Background: In the context of recently updated strategies of pressure management, there is a paucity of evidence on the effect of diastolic blood pressure (DBP) level on adverse events among stroke patients. This study aimed to examine the effect of low DBP (<60 mmHg) under different levels of systolic blood pressure (SBP) on the risk of composite events and stroke recurrence among patients with ischemic stroke (IS) or transient ischemic attack (TIA). Material and Methods: This study was conducted in 2,325 patients with IS or TIA. DBP values were categorized into <60, 60–70, 70–80 (reference), 80–90, and ≥90 mmHg in the main sample and were further categorized as <60 and ≥60 mmHg (reference) when patients were stratified according to SBP levels (<140, <130, and <120 mmHg). The outcomes were defined as recurrent stroke and cumulative composite events (defined as the combination of nonfatal myocardial infarction, nonfatal congestive heart failure, and death) at 1 year. Results: During 1 year of follow-up, a total of 95 composite events and 138 stroke recurrences were identified. The patients with low DBP showed a significantly higher risk of composite events [hazard ratio (HR) = 4.86, 95% confidence interval (CI) = 2.54–8.52], especially the elderly patients (≥60 years); however, this result was not observed for stroke recurrence (HR = 0.90, 95% CI = 0.46–1.74). With the reduction of the SBP levels, the proportion of patients with low DBP increased (6.87, 12.67, and 34.46%), and the risk for composite events persisted. Conclusions: Along with the new target levels of SBP suggested by updated criteria, there is a trend for DBP to be reduced to a harmfully low level, which was associated with an increased risk of composite events among patients with IS or TIA.
Imaging Ischemic and Hemorrhagic Disease of the Brain in Dogs

Strokes, both ischemic and hemorrhagic, are the most common underlying cause of acute, non-progressive encephalopathy in dogs. In effect, substantial information detailing the underlying causes and predisposing factors, affected vessels, imaging features, and outcomes based on location and extent of injury is available. The features of canine strokes on both computed tomography (CT) and magnetic resonance imaging (MRI) have been described in numerous studies. This summary article serves as a compilation of these various descriptions. Drawing from the established and emerging stroke evaluation sequences used in the investigation of strokes in humans, this summary describes all theoretically available sequences. Particular detail is given to logistics of image acquisition, description of imaging findings, and each sequence's advantages and disadvantages. As the imaging features of both forms of strokes are highly representative of the underlying pathophysiologic stages in the hours to months following stroke onset, the descriptions of strokes at various stages are also discussed. It is unlikely that canine strokes can be diagnosed within the same rapid time frame as human strokes, and therefore the opportunity for thrombolytic intervention in ischemic strokes is unattainable. However, a thorough understanding of the appearance of strokes at various stages can aid the clinician when presented with a patient that has developed a stroke in the days or weeks prior to evaluation. Additionally, investigation into new imaging techniques may increase the sensitivity and specificity of stroke diagnosis, as well as provide new ways to monitor strokes over time.