Miracle-dz/UniFAR-FTUs huggingface dataset:
Using Categorical Features in Mining Bug Tracking Systems to Assign Bug Reports

Most bug assignment approaches utilize text classification and information retrieval techniques. These approaches use the textual contents of bug reports to build recommendation models. The textual contents of bug reports are usually of high dimension and noisy source of information. These approaches suffer from low accuracy and high computational needs. In this paper, we investigate whether using categorical fields of bug reports, such as component to which the bug belongs, are appropriate to represent bug reports instead of textual description. We build a classification model by utilizing the categorical features, as a representation, for the bug report. The experimental evaluation is conducted using three projects namely NetBeans, Freedesktop, and Firefox. We compared this approach with two machine learning based bug assignment approaches. The evaluation shows that using the textual contents of bug reports is important. In addition, it shows that the categorical features can improve the classification accuracy.
Optical detection of three modes of endocytosis at hippocampal synapses

Coupling of synaptic vesicle fusion and retrieval constitutes a core mechanism ensuring maintenance of presynaptic function. Recent studies using fast-freeze electron microscopy and capacitance measurements reported an ultrafast mode of endocytosis operating at physiological temperatures. Here, using rat hippocampal neurons, we optically monitored single synaptic vesicle endocytosis with high time resolution using the vesicular glutamate transporter, synaptophysin and the V0a1 subunit of the vacuolar ATPase as probes. In this setting, we could distinguish three components of retrieval operating at ultrafast (~150–250 ms, ~20% of events), fast (~5–12 s, ~40% of events) and ultraslow speeds (>20 s, ~40% of events). While increasing Ca2+ slowed the fast events, increasing temperature accelerated their time course. In contrast, the kinetics of ultrafast events were only mildly affected by these manipulations. These results suggest that synaptic vesicle proteins can be retrieved with ultrafast kinetics, although a majority of evoked fusion events are coupled to slower retrieval mechanisms.
Traces: Studying a Public Reactive Floor-Projection of Walking Trajectories to Support Social Awareness

Walking trajectories have been used to understand how users interact with public displays. However, it has not yet been studied how displaying them in-situ could affect users' awareness about others' presence and activities. We present the study of an interactive public floor-projection called Traces. Traces projects the walking trajectories of individuals as they pass through the lobby of a university building. We investigated Traces through a 6 week in-field study. Our results outline how different uses and understandings of Traces contributed towards its appropriation as a glanceable display for social awareness. We outline design suggestions that future designers should consider to support social awareness with public displays.
Succession of Bacterial Community Structure and Diversity in Soil along a Chronosequence of Reclamation and Re-Vegetation on Coal Mine Spoils in China

The growing concern about the effectiveness of reclamation strategies has motivated the evaluation of soil properties following reclamation. Recovery of belowground microbial community is important for reclamation success, however, the response of soil bacterial communities to reclamation has not been well understood. In this study, PCR-based 454 pyrosequencing was applied to compare bacterial communities in undisturbed soils with those in reclaimed soils using chronosequences ranging in time following reclamation from 1 to 20 year. Bacteria from the Proteobacteria, Chloroflexi, Actinobacteria, Acidobacteria, Planctomycetes and Bacteroidetes were abundant in all soils, while the composition of predominant phyla differed greatly across all sites. Long-term reclamation strongly affected microbial community structure and diversity. Initial effects of reclamation resulted in significant declines in bacterial diversity indices in younger reclaimed sites (1, 8-year-old) compared to the undisturbed site. However, bacterial diversity indices tended to be higher in older reclaimed sites (15, 20-year-old) as recovery time increased, and were more similar to predisturbance levels nearly 20 years after reclamation. Bacterial communities are highly responsive to soil physicochemical properties (pH, soil organic matter, Total N and P), in terms of both their diversity and community composition. Our results suggest that the response of soil microorganisms to reclamation is likely governed by soil characteristics and, indirectly, by the effects of vegetation restoration. Mixture sowing of gramineae and leguminosae herbage largely promoted soil geochemical conditions and bacterial diversity that recovered to those of undisturbed soil, representing an adequate solution for soil remediation and sustainable utilization for agriculture. These results confirm the positive impacts of reclamation and vegetation restoration on soil microbial diversity and suggest that the most important phase of microbial community recovery occurs between 15 and 20 years after reclamation.
ExtVision: Augmentation of Visual Experiences with Generation of Context Images for a Peripheral Vision Using Deep Neural Network

We propose a system, called ExtVision, to augment visual experiences by generating and projecting context-images onto the periphery of the television or computer screen. A peripheral projection of the context-image is one of the most effective techniques to enhance visual experiences. However, the projection is not commonly used at present, because of the difficulty in preparing the context-image. In this paper, we propose a deep neural network-based method to generate context-images for peripheral projection. A user study was performed to investigate the manner in which the proposed system augments traditional visual experiences. In addition, we present applications and future prospects of the developed system.
Improving User Confidence in Concept Maps: Exploring Data Driven Explanations

Automated tools are increasingly being used to generate highly engaging concept maps as an aid to strategic planning and other decision-making tasks. Unless stakeholders can understand the principles of the underlying layout process, however, we have found that they lack confidence and are therefore reluctant to use these maps. In this paper, we present a qualitative study exploring the effect on users' confidence of using data-driven explanation mechanisms, by conducting in-depth scenario-based interviews with ten participants. To provide diversity in stimulus and approach we use two explanation mechanisms based on projection and agglomerative layout methods. The themes exposed in our results indicate that the data-driven explanations improved user confidence in several ways, and that process clarity and layout density also affected users' views of the credibility of the concept maps. We discuss how these factors can increase uptake of automated tools and affect user confidence.
Is it Happy?: Behavioural and Narrative Frame Complexity Impact Perceptions of a Simple Furry Robot's Emotions

Critical to social human-robot interaction is a robot's emotional richness, expressed within the parameters of its physical display. While emotion arousal is straightforward to convey, human valence (positivity) evaluations are famously ambiguous, whether we are assessing other humans or a robot. Imagine someone breathing raggedly: are they nervous, or excited? To assess the premise that irregular breathing connotes low valence (emotion negativity), we implemented different levels of breathing variability and complexity in simple furry robots. We asked 10 participants to watch and feel the behaviors, rate their valence, and explain their impressions. While a quantitative exploration of new and previous data showed correlation between multi-scale entropy and valence, the rich narratives revealed by thematic analysis of participant explanations call into question whether a single motion can, alone, be unambiguously valenced. Based on this evidence that people perceive robots as having inner lives, we recommend ways to build up narrative contexts over multiple interactions.
Aromatic Rings Commonly Used in Medicinal Chemistry: Force Fields Comparison and Interactions With Water Toward the Design of New Chemical Entities

The identification of lead compounds usually includes a step of chemical diversity generation. Its rationale may be supported by both qualitative (SAR) and quantitative (QSAR) approaches, offering models of the putative ligand-receptor interactions. In both scenarios, our understanding of which interactions functional groups can perform is mostly based on their chemical nature (such as electronegativity, volume, melting point, lipophilicity etc.) instead of their dynamics in aqueous, biological solutions (solvent accessibility, lifetime of hydrogen bonds, solvent structure etc.). As a consequence, it is challenging to predict from 2D structures which functional groups will be able to perform interactions with the target receptor, at which intensity and relative abundance in the biological environment, all of which will contribute to ligand potency and intrinsic activity. With this in mind, the aim of this work is to assess properties of aromatic rings, commonly used for drug design, in aqueous solution through molecular dynamics simulations in order to characterize their chemical features and infer their impact in complexation dynamics. For this, common aromatic and heteroaromatic rings were selected and received new atomic charge set based on the direction and module of the dipole moment from MP2/6-31G* calculations, while other topological terms were taken from GROMOS53A6 force field. Afterwards, liquid physicochemical properties were simulated for a calibration set composed by nearly 40 molecules and compared to their respective experimental data, in order to validate each topology. Based on the reliance of the employed strategy, we expanded the dataset to more than 100 aromatic rings. Properties in aqueous solution such as solvent accessible surface area, H-bonds availability, H-bonds residence time, and water structure around heteroatoms were calculated for each ring, creating a database of potential interactions, shedding light on features of drugs in biological solutions, on the structural basis for bioisosterism and on the enthalpic/entropic costs for ligand-receptor complexation dynamics.
Rethinking Thinking Aloud: A Comparison of Three Think-Aloud Protocols

This paper presents the results of a study that compared three think-aloud methods: concurrent think-aloud, retrospective think-aloud, and a hybrid method. The three methods were compared through an evaluation of a library website, which involved four points of comparison: task performance, participants' experiences, usability problems discovered, and the cost of employing the methods. The results revealed that the concurrent method outperformed both the retrospective and the hybrid methods in facilitating successful usability testing. It detected higher numbers of usability problems than the retrospective method, and produced output comparable to that of the hybrid method. The method received average to positive ratings from its users, and no reactivity was observed. Lastly, this method required much less time on the evaluator's part than did the other two methods, which involved double the testing and analysis time.
Species distribution modeling for the invasive raccoon dog (Nyctereutes procyonoides) in Austria and first range predictions for alpine environments

Species distribution models are important tools for wildlife management planning, particularly in the case of invasive species. We employed a recent framework for niche-based invasive species distribution modeling to predict the probability of presence for the invasive raccoon dog (Nyctereutes procyonoides) in Austria. The raccoon dog is an adaptive, mobile and highly reproductive Asiatic canid that has successfully invaded many parts of Europe. It is known to occur in Austria since 1963 and is now widespread in the northern and eastern parts of the country, but its population density remains low. With the help of a species distribution model we identified focal areas for future monitoring and management actions, and we address some management implications for the raccoon dog in Austria. We also determined the environmental predictors of raccoon dog distribution in this alpine country. Its distribution seems to be mainly limited by climatic factors (snow depth, duration of snow cover, winter precipitation and mean annual temperature) and is thus linked to elevation. Consequently, we assumed the Alps to be a barrier for the spread of the invasive raccoon dog in Europe; however, its ecological permeability is expected to increase with ongoing climate change. https://doi.org/10.2298/ABS161124009D Received: November 24, 2016; Revised: February 17, 2017; Accepted: March 1, 2017; Published online: March 16, 2017 How to cite this article: Duscher T, Nopp-Mayr U. Species distribution modeling for the invasive raccoon dog ( Nyctereutes procyonoides ) in Austria and first range predictions for alpine environments. Arch Biol Sci. 2017;69(4):637-47.
Ripple Thermostat: Affecting the Emotional Experience through Interactive Force Feedback and Shape Change

Force feedback and shape change are modalities with a growing application potential beyond the more traditional GUIs. We present two studies that explored the effect of these modalities on the emotional experience when interacting with an intelligent thermostat. The first study compared visual feedback, force feedback, and a combination of force feedback and shape change. Results indicate that force feedback correlates to experienced dominance during interaction, while shape change mainly affects experienced arousal. The second study explored how force feedback and shape change could communicate affective meaning during interaction with the thermostat through a co-design study. Participants designed the thermostat behavior for three scenarios supporting energy savings. Results suggest that despite their abstractness, force feedback and shape change convey affective meaning during the user-system dialogue. The findings contribute to the design of intelligible and intuitive feedback.
Knowing You, Seeing Me: Investigating User Preferences in Drone-Human Acknowledgement

In the past, human proxemics research has poorly predicted human robot interaction distances. This paper presents three studies on drone gestures to acknowledge human presence and clarify suitable acknowledging distances. We evaluated four drone gestures based on non-verbal human greetings. The gestures included orienting towards the counterpart and salutation gestures. We tested these individually and in combination to create a feeling of acknowledgement in people. Our users preferred being acknowledged from two meters away but gestures were also effective from four meters. Rotating the drone towards the user elicited a higher degree of acknowledgement than without. We conclude with a set design guidelines for drone gestures.
Optimal generation scheduling of thermal System using biologically inspired grasshopper algorithm

This paper presents Grasshopper Optimization Algorithm (GOA) for solution of economic dispatch (ED) problem related to electrical power systems. GOA is a novel bio inspired optimization approach that mimics the behavior of grasshopper insect during optimization. To check the feasibility and validity of GOA it is employed to solve three different types of ED problems comprising of small, medium and large scale power systems having different complexity levels. The experimental results show that the GOA method is quite promising for solving a wide range of ED problems very efficiently. The performance of the GOA is found to be superior to other recently reported methods available in literature.
Semantic Parsing with Syntax- and Table-Aware SQL Generation

We present a generative model to map natural language questions into SQL queries. Existing neural network based approaches typically generate a SQL query word-by-word, however, a large portion of the generated results is incorrect or not executable due to the mismatch between question words and table contents. Our approach addresses this problem by considering the structure of table and the syntax of SQL language. The quality of the generated SQL query is significantly improved through (1) learning to replicate content from column names, cells or SQL keywords; and (2) improving the generation of WHERE clause by leveraging the column-cell relation. Experiments are conducted on WikiSQL, a recently released dataset with the largest question- SQL pairs. Our approach significantly improves the state-of-the-art execution accuracy from 69.0% to 74.4%.
Long-Term Dietary Supplementation of Pomegranates, Figs and Dates Alleviate Neuroinflammation in a Transgenic Mouse Model of Alzheimer’s Disease

Alzheimer’s disease (AD) is a devastating age-related neurodegenerative disease with no specific treatment at present. The APPsw/Tg2576 mice exhibit age-related deterioration in memory and learning as well as amyloid-beta (Aβ) accumulation, and this mouse strain is considered an effective model for studying the mechanism of accelerated brain aging and senescence. The present study was aimed to investigate the beneficial effects of dietary supplements pomegranate, figs, or the dates on suppressing inflammatory cytokines in APPsw/Tg2576 mice. Changes in the plasma cytokines and Aβ, ATP, and inflammatory cytokines were investigated in the brain of transgenic mice. Significantly enhanced levels of inflammatory cytokines IL-1β, IL-2, IL-3, IL-4, IL-5, IL-6, IL-9, IL-10, TNF-α and Eotaxin activity were decreased by administration of the diet supplements containing pomegranates, figs, or dates. In addition, putative delays in the formation of senile plaques, as indicated by a decreasing tendency of brain Aβ1–40 and Aβ1–42 contents, were observed. Thus, novel results mediated by reducing inflammatory cytokines during aging may represent one mechanism by which these supplements exert their beneficial effects against neurodegenerative diseases such as AD.
Detection of Epstein-Barr virus infection subtype in patients with multiple sclerosis by indirect immunofluorescence assay

Aim: The aim was to investigate the infectious conditions of Epstein-Barr virus (EBV) in patients with multiple sclerosis (MS). Methods: Cerebrospinal fluid (CSF) of 20 patients with MS and 20 with other neurological diseases (OND) were tested with indirect immunofluorescence for anti-EBV capsid antigen (EBV-CA) immunoglobulin G (IgG), IgG affinity for anti-EBV-CA, anti-EBV-CA immunoglobulin M (IgM), anti-EBV early antigen (EBV-EA) IgG and anti-EBV nuclear antigen (EBNA) IgG. According to the pattern of antibodies in CSF, infection rates of acute, chronic, primary, recurrent, and past infections were analyzed in the two groups of patients. Results: There were no significant differences in anti-EBV-CA, anti-EBC-EA, and anti-EBNA antigen IgG in CSF between MS and OND patients (P > 0.05). The positive rate of low affinity for anti-EBV-CA IgG in MS patients was significantly higher than that for OND patients (75% vs. 40%, P < 0.05). Furthermore, significant differences in the positive rate of anti-EBV-CA IgM were found between MS and OND patients (70% vs. 25%, P < 0.05). Of the MS patients, 75% were in an EBV acute infection state compared with 40% of OND patients (P < 0.05). Conclusion: Acute infection of EBV closely correlates with the occurrence of MS.
Towards the Virtual Rheometer: High Performance Computing for the Red Blood Cell Microstructure

Recent advances in medical research and bio-engineering have led to the development of devices capable of handling fluids and biological matter at the microscale. The operating conditions of medical devices are constrained to ensure that characteristic properties of blood flow, such as mechanical properties and local hemodynamics, are not altered during operation. These properties are a consequence of the red blood cell (RBC) microstructure, which changes dynamically according to the device geometry. The understanding of the mechanics and dynamics that govern the interactions between the RBCs is crucial for the quantitative characterization of blood flow, a stepping stone towards the design of medical devices specialized to the patient, in the context of personalized medicine. This can be achieved by analyzing the microstructural characteristics of the RBCs and study their dynamics. In this work we focus on the quantification of the microstructure of high and low hematocrit blood flows, in wall bounded geometries. We present distributions of the RBCs according to selected deformation criteria and dynamic characteristics, and elaborate on mechanisms that control their collective behavior, focusing on the interplay between cells and shear induced effects.
Behaviour of a Composite Concrete-Trapezoidal Steel Plate Slab in Fire

The present paper investigates fire resistance of a simply-supported composite concrete-trapezoidal steel sheet slab. The objective is to find out if a steel sheet, as a moisture diffusion barrier, may substantially effect the hydro-thermal situation in the concrete part of the cross-section. The numerical integration of the equations of a coupled hygro-thermal boundary-value problem (Tenchev, R.T., Li, L.Y. and Purkiss, J.A. (2001) Num. Heat Transfer Part A, 39(7), 685-710), with and without considering the barrier, shows that the barrier does not really effect the magnitude and the development of temperatures over the cross-section, while there is a significant effect on the pattern of moisture transport and the magnitude of vapour pressure. Particularly high magnitudes of vapour pressure (about 4.5 MPa) were shown in cases where the steel sheet was considered in analyses, which indicates a possible micro damage of concrete in the web of the section, although spalling probably cannot take place due to the steel sheet cover. As the typical composite slab investigated here is not sufficiently fire resistant without any additional reinforcement bars placed in the web, further in-vestigations are directed to finding an optimal position and area of these bars. Following a simplified procedure given in EC2 (Eurocode 2, Design of Concrete Structures, Part 1.2 (2004) Structural fire design, European Committee for Standardization) and assuming that the present composite slab is subject to the uniform traction , yields that placing one bar with the area 1.153 cm2 4 cm away from the edge suffices for the 60 min fire resistance of the slab.
Risk Compensation: Revisited and Rebutted

This Commentary addresses the ongoing disagreements between many safety advocates who endorse traditional models of prevention and those who oppose them, arguing that safety measures are offset by risk compensation (RCT). The debate is especially heated with respect to regulatory or legislative prevention measures. After explaining the rationale behind risk compensation (aka risk homeostasis theory) (RHT), I provide examples of RCT studies to explain why I believe they should be rejected. The main basis for my rebuttal, however, rests on data that show steady declines in unintentional injury mortality, which, according to RCT, should not have occurred. There are many other reasons for rejecting this theory, and it seems that the time has come for the debate to finally be concluded.