Miracle-dz/UniFAR-FTUs huggingface dataset:
Public Opinion Analysis of Road Accidents & Review of Conventional and Combinational Driver Safety Methodologies with SelfLearning Algorithms

Professor, Department of Computer Applications, Kongu Engineering College, Perundurai, Erode, India. Associate Professor, Department of Computer Applications, Kongu Engineering College, Perundurai, Erode, India. sivabalaselvamani@gmail.com, Associate Professor, Department of Computer Applications, Kongu Engineering College, Perundurai, Erode, India. JuniorResearch Fellow, Department of Computer Applications, Kongu Engineering College, Perundurai, Erode, India.
Solution Selection from a Pareto Optimal Set of Multi-Objective Reservoir Operation via Clustering Operation Processes and Objective Values

Multi-objective evolutionary algorithms (MOEAs) are widely used to optimize multi-purpose reservoir operations. Considering that most outcomes of MOEAs are Pareto optimal sets with a large number of incomparable solutions, it is not a trivial task for decision-makers (DMs) to select a compromise solution for application purposes. Due to the increasing popularity of data-driven decision-making, we introduce a clustering-based decision-making method into the multi-objective reservoir operation optimization problem. Traditionally, solution selection has been conducted based on trade-off ranking in objective space, and solution characteristics in decision space have been ignored. In our work, reservoir operation processes were innovatively clustered into groups with unique properties in decision space, and the trade-off surfaces were analyzed via clustering in objective space. To attain a suitable performance, a new similarity measure, referred to as the Mei–Wang fluctuation similarity measure (MWFSM), was tailored to reservoir operation processes. This method describes time series in terms of both their shape and quantitative variation. Then, a compromise solution was selected via the joint use of two clustering results. A case study of the Three Gorges cascade reservoirs system under small and medium floods was investigated to verify the applicability of the proposed method. The results revealed that the MWFSM effectively distinguishes reservoir operation processes. Two more operation patterns with similar positions but different shapes were identified via MWFSM when compared with Euclidean distance and the dynamic time warping method. Furthermore, the proposed method decreased the selection range from the whole Pareto optimal set to a set containing relatively few solutions. Finally, a compromise solution was selected.
Progressive mean control chart is not a special case of an exponentially weighted moving average control chart

The progressive mean (PM) statistic is based on a simple idea of accumulating information of each subgroup by calculating the average progressively. Its weighting structure is based on a subgroup number that changes arithmetically, which makes the PM chart unique and efficient compared with the existing classical memory control charts. In a recent article (see reference 1), it was claimed that the PM chart is a special case of the exponentially weighted moving average (EMWA) chart. In this article, it is shown that even though the PM statistic can be written in the form of an EWMA statistic, the variance of the PM statistic is different from that of the EWMA statistic. Consequently, the limits of the PM chart are different from that of the EWMA chart. Therefore, it is found that the PM chart is not a special case of the EWMA chart; hence, the claim in reference 1 is incorrect. Furthermore, it is pointed out in this paper that no adaptive property in the weighting parameter of the PM statistic exists, further contradicting the claim in reference 1.
Soil microbial functional diversity responses to different vegetation types in the Heilongjiang Zhongyangzhan Black-billed Capercaillie Nature Reserve

Purpose The soil microbial community is an important bioactive component of terrestrial ecosystems. Its structural and functional diversity directly affects carbon and nitrogen processes. This study aimed to investigate the variations in the functional diversity of soil microbial communities in forests with different types of vegetation. Methods We selected three typical vegetation types, larch (LG), black birch (BD), and larch and black birch mixed (LGBD) forests, located in the Heilongjiang Zhongyangzhan Black-billed Capercaillie Nature Reserve. The Biolog-Eco microplate technology was selected to perform these analyses. Result Our results showed clear differences between microorganisms in the three typical forests. The average well colour development (AWCD) change rate gradually increased with incubation time. The BD type had the highest AWCD value, followed by LGBD; the LG forest type had the lowest value. The difference in the soil microbial alpha diversity index between BD and LG was significant. A principal component analysis showed that PC1 and PC2 respectively explained 62.77% and 13.3% of the variance observed. The differences in the soil microbial carbon-source utilisation patterns under different vegetation types were mainly caused by esters and carbohydrates. Redundancy analysis showed that soil microbial functional diversity was strongly affected by soil physicochemistrical properties (e.g. organic carbon, total nitrogen and pH). Conclusion These results provide a reference for further exploring the relationship between forest communities and soil microbes during the process of forest succession.
The Relative Importance of Geomagnetic Storm Signatures on the Total Electron Content Perturbations Over the Continental US

A study of 37 large solar storms occurring in the equinox periods from 2000 to 2018 is presented to quantify their effects on total electron content (TEC) variations in the ionosphere over the North American sector. The dependence of storm‐related TEC enhancements and depletions is studied as a function of various storm parameters using machine‐learning and statistical algorithms to quantify their relative importance. The variables under consideration include the onset time and duration of each storm, as well as characteristic scalar values derived from ring current variations detected by a network of ground‐based magnetometers. The TEC data used in the study are taken from the Continuously Operating Reference Station network of ground‐based GPS measurements, archived in the Madrigal database. The agreement and disagreement of the results across the different methods studied, along with the relative uncertainties in model prediction capability of the machine‐learning study, show that the geo‐effectiveness of large storms in the equinox periods is more closely related to the storm onset time and to ionospheric preconditioning than to any other parameters used in characterizing the storm. The effects in the higher latitude regions are shown to be very different from the lower latitude regions over the North American sector. This behavior can possibly be explained through storm‐induced changes in the atmospheric chemistry and the related temperature‐dependent production and loss processes at the higher latitudes.
Study of molybdenum sources and screening in the Alcator C-Mod tokamak

In this thesis a study of molybdenum sources and screening in Alcator C-Mod is presented. This work contributes in characterizing the performance of molybdenum, a high Z material, as a tokamak first wall surface. Understanding the molybdenum production mechanism is crucial if one wants to minimize it. A simple physical sputtering model has been developed that calculates the molybdenum source at the divertor, providing satisfactory agreement with the spectroscopic results. The effect of deuterons, boron ions, and redeposited molybdenum incident on the target is included in the calculation which shows that the boron ions dominate the sputtering. It is also found that the probability of molybdenum being "promptly" redeposited (within a gyration after having been sputtered) can be as high as 80%. High probability of redeposition is favorable because it reduces the net erosion. Specifically, it has been found that although the molybdenum gross erosion peaks close to the separatrix, the net erosion peaks further away in the target plate. Three surfaces have been identified spectroscopically in C-Mod to be significant sources of molybdenum: the inner wall, the outer divertor and the antenna protection tiles. The inner wall is the only important source during limited plasma operation, while, in diverted discharges, the molybdenum generated there is very well screened by the plasma. In RF-heated diverted plasmas, it is believed that the antenna protection tiles are the source of most of the molybdenum that ends up in the core. The outer divertor can not be excluded as a contributor to the core molybdenum density but there are indications that it is often not the dominant source during RF heating. This result is significant since it is expected that the divertor target in the next generation fusion devices will be made primarily with a high-Z material. The study of boronization as a surface conditioning method which reduces the molybdenum source rates and core concentration has shown a varying effectiveness dependent on first wall surface location. The beneficial effects of boronization disappear rather fast for the outer divertor, last longer for the inner wall, with the antennas and
High-Speed Dynamic Projection Mapping onto Human Arm with Realistic Skin Deformation

Dynamic projection mapping for a moving object according to its position and shape is fundamental for augmented reality to resemble changes on a target surface. For instance, augmenting the human arm surface via dynamic projection mapping can enhance applications in fashion, user interfaces, prototyping, education, medical assistance, and other fields. For such applications, however, conventional methods neglect skin deformation and have a high latency between motion and projection, causing noticeable misalignment between the target arm surface and projected images. These problems degrade the user experience and limit the development of more applications. We propose a system for high-speed dynamic projection mapping onto a rapidly moving human arm with realistic skin deformation. With the developed system, the user does not perceive any misalignment between the arm surface and projected images. First, we combine a state-of-the-art parametric deformable surface model with efficient regression-based accuracy compensation to represent skin deformation. Through compensation, we modify the texture coordinates to achieve fast and accurate image generation for projection mapping based on joint tracking. Second, we develop a high-speed system that provides a latency between motion and projection below 10 ms, which is generally imperceptible by human vision. Compared with conventional methods, the proposed system provides more realistic experiences and increases the applicability of dynamic projection mapping.
Do fluorocarbons substantially increase transdermal oxygen delivery? A proof-of-principle study in mice

Background: Coronavirus disease 2019 (COVID-19) patients who need intensive medical care often require oxygen ventilation, but the number of ventilation machines is limited, and in some parts of the world, they are not available at all. In addition to patients for whom there is no access to ventilation machines there is also a considerable population of patients for whom ventilation is not sufficient for them to survive a critical state. Methods: Here, we propose and test an alternative oxygen supply through accelerated transdermal oxygen delivery. Covering the entire body with liquid fluorocarbons, which can dissolve 20 times more oxygen than water, we hypothesized to increase the contribution of transcutaneous respiration by a sustained amount. Results: Experiments applying pure medical grade perfluorodecalin on nude mice did not change their oxygenation in the blood under induced hypoxic conditions compared to control mice. However, increases in blood oxygenation below 2% could not be detected with the applied method. Conclusions: We could not establish a proof-of-principle for a substantial increase in oxygen supply by transdermal oxygen delivery in mammals.
Versatile linearly polarized photon generation from a quantum emitter in metasurface-decorated waveguides

Linearly polarized quantum sources with high purity and well-defined polarization angles are the fundamental blocks in the photonic quantum technological evolution. However, due to the orientation of the dipole moment with the quantum emitters, the polarization state of the emitted photons is intrinsically limited. Therefore, it is impossible to generate arbitrary linear polarization states simultaneously. Here, we propose a new concept of versatilely generating linearly polarized emission based on a quantum metasurface platform that combines nano-diamonds containing color centers with metasurface-decorated waveguides. By tailoring the size and orientation of the slit meta-atom on the waveguide, linearly polarized emission with arbitrary polarization angles can be achieved with the degree of linear polarization larger than 0.999.
Statistical Analysis on the Structural Size of Simulated Thin Film Growth with Molecular Dynamics for Glancing Angle Incidence Deposition

For the purpose of a deeper understanding of thin film growth, in the last two decades several groups developed models for simulation on the atomistic scale. Models using molecular dynamics as their simulation method already give results comparable to experiments, however statistical analysis of the simulations themselves are lacking so far, reasoned by the limits imposed by the computational power and parallelization that can only be used in lateral dimensions. With advancements of software and hardware, an increase in simulation speed by a factor of up to 10 can be reached. This allows either larger structures and/or more throughput of the simulations. The paper analyses the significance of increasing the structure size in lateral dimensions and also the repetition of simulations to gain more insights into the statistical fluctuation contained in the simulations and how well the coincidence with the experiment is. For that, glancing angle incidence deposition (GLAD) coatings are taken as an example. The results give important insights regarding the used interaction potential, the structure size and resulting important differences for the density, surface morphology, roughness and anisotropy. While larger structures naturally can reproduce the real world in more detail, the results show which structure sizes are needed for these aspects without wasting computational resources.
Natural Language Processing for Requirements Engineering

Natural Language Processing for Requirements Engineering (NLP4RE) is an area of research and development that seeks to apply natural language processing (NLP) techniques, tools, and resources to the requirements engineering (RE) process, to support human analysts to carry out various linguistic analysis tasks on textual requirements documents, such as detecting language issues, identifying key domain concepts, and establishing requirements traceability links. This article reports on a mapping study that surveys the landscape of NLP4RE research to provide a holistic understanding of the field. Following the guidance of systematic review, the mapping study is directed by five research questions, cutting across five aspects of NLP4RE research, concerning the state of the literature, the state of empirical research, the research focus, the state of tool development, and the usage of NLP technologies. Our main results are as follows: (i) we identify a total of 404 primary studies relevant to NLP4RE, which were published over the past 36 years and from 170 different venues; (ii) most of these studies (67.08%) are solution proposals, assessed by a laboratory experiment or an example application, while only a small percentage (7%) are assessed in industrial settings; (iii) a large proportion of the studies (42.70%) focus on the requirements analysis phase, with quality defect detection as their central task and requirements specification as their commonly processed document type; (iv) 130 NLP4RE tools (i.e., RE specific NLP tools) are extracted from these studies, but only 17 of them (13.08%) are available for download; (v) 231 different NLP technologies are also identified, comprising 140 NLP techniques, 66 NLP tools, and 25 NLP resources, but most of them—particularly those novel NLP techniques and specialized tools—are used infrequently; by contrast, commonly used NLP technologies are traditional analysis techniques (e.g., POS tagging and tokenization), general-purpose tools (e.g., Stanford CoreNLP and GATE) and generic language lexicons (WordNet and British National Corpus). The mapping study not only provides a collection of the literature in NLP4RE but also, more importantly, establishes a structure to frame the existing literature through categorization, synthesis and conceptualization of the main theoretical concepts and relationships that encompass both RE and NLP aspects. Our work thus produces a conceptual framework of NLP4RE. The framework is used to identify research gaps and directions, highlight technology transfer needs, and encourage more synergies between the RE community, the NLP one, and the software and systems practitioners. Our results can be used as a starting point to frame future studies according to a well-defined terminology and can be expanded as new technologies and novel solutions emerge.
Corporate Social Responsibility in the restaurant and fast food industry: a study of communication on healthy eating through social networks

The communication of Corporate Social Responsibility (CSR) of a sample of eight restaurant and fast food companies is analyzed. An exploratory and descriptive method, based on the content analysis technique, is used to analyze the formal and informal CSR communication channels used to promote healthy eating on their respective websites and Twitter profiles. This study is complemented by a survey (n = 383) applied to a sample of young Spaniards to investigate their interest in healthy eating information, their assessment of CSR actions carried out in this area as well as the communication channels used for this purpose. The results confirm that the CSR policies of the companies include actions aimed at guaranteeing and promoting healthy eating. It is concluded about the convenience of using their own social networks and influencers to encourage healthy eating habits more effectively in their publics.
Semantic generalization of punishment-related attentional priority

ABSTRACT The present study aimed to determine whether attentional prioritization of visual stimuli associated with punishment transfers across conceptual knowledge independently of physical features. Participants performed a Stroop task in which words were presented individually. These stimuli consisted of four pairs of synonyms selected such that the two words of each pair have both a strong semantic association and no perceptual similarity. In the learning phase, two words (from two different pairs) were associated with shock independently of performance; all the other words were never paired with shock. In the subsequent test phase, no shock was delivered. Results are consistent with semantic generalization of punishment-related attentional priority; synonyms of words paired with shock produced a Stroop interference effect (i.e., slower response times) in learning and test phases, relative to synonyms of words not paired with shock, suggesting they were prioritized by attention.
QSAR Modeling of Antifungal Activity of Some Heterocyclic Compounds

QSAR analysis of a set of benzoxazoles, benzimidazoles, oxazolo[4,5-b]pyridines and benzothiazoles, showing growth inhibitory activity against Candida albicans, was performed using a multiple regression procedure. Topological indices (TIs) and principal component analysis (PCA) on TIs were used in modeling antifungal activity. Selection of TIs relevant to developing QSAR models was made using the largest PC factor loading scores. Correlation coefficient 0.97 obtained in the validation procedure indicated the excellent quality of the derived QSAR models.
Asymmetric Impacts on Mars’ Polar Vortices From an Equinoctial Global Dust Storm

Mars possesses dynamical features called polar vortices: regions of cold, isolated air over the poles circumscribed by powerful westerly jets which can act as barriers to transport to dust, water, and chemical species. The 2018 Global Dust Storm was observed by multiple orbiters and offered a valuable opportunity to study the effects of such a storm on polar dynamics. To this end, we assimilate data from the Mars Climate Sounder and Atmospheric Chemistry Suite into a Mars Global Climate Model. We find that the storm had asymmetrical hemispherical impacts, with the northern vortex remaining relatively robust while the southern vortex was substantially diminished in its intensity. We propose that this asymmetry was due both to the storm’s latitudinal extent, as it extended further south than north, and to its equinoctial timing, occurring as the southern vortex was already decaying. We show that both polar vortices, in particular the northern, were reduced in ellipticity by the storm. There was a well‐correlated reduction in stationary topographic wave activity at high latitudes in both hemispheres. We demonstrate that the characteristic elliptical Martian polar vortex shape is the pattern of the stationary waves, which was suppressed by the shifting of the polar jet away from regions of high mechanical forcing (north) or reduction of polar jet intensity by a reduced meridional temperature gradient (south). These asymmetric effects suggest increased transport into the southern (but not northern) polar region during global dust storms at northern autumn equinox, and more longitudinally symmetric transport around both poles.
Genetic Divergence and Polyphyly in the Octocoral Genus Swiftia [Cnidaria: Octocorallia], Including a Species Impacted by the DWH Oil Spill

Mesophotic coral ecosystems (MCEs) are recognized around the world as diverse and ecologically important habitats. In the northern Gulf of Mexico (GoMx), MCEs are rocky reefs with abundant black corals and octocorals, including the species Swiftia exserta. Surveys following the Deepwater Horizon (DWH) oil spill in 2010 revealed significant injury to these and other species, the restoration of which requires an in-depth understanding of the biology, ecology, and genetic diversity of each species. To support a larger population connectivity study of impacted octocorals in the GoMx, this study combined sequences of mtMutS and nuclear 28S rDNA to confirm the identity of Swiftia sea fans in the GoMx, compare these markers for different polyp colors in the GoMx and Atlantic, and examine the phylogeny of the genus. Two mtMutS haplotypes were identified, one seemingly endemic to the northern GoMx. Compared to other North Atlantic Swiftia, S. exserta, the type of the genus was found to be extremely divergent and distinct from the two other Swiftia at both loci, with strong evidence of polyphyly in the genus. This information refines our understanding of the geographical distribution of injured coral and highlights how little is known about MCEs. Substantial taxonomic revisions may be needed for several taxa injured by the DWH oil spill.