Miracle-dz/UniFAR-FTUs huggingface dataset:
Band-structure anomalies of the chalcopyrite semiconductors CuGa X 2 versus AgGa X 2 ( X = S and Se) and their alloys

We have performed systematic first-principles calculations for the structural and electronic properties of chalcopyrite semiconductors AgGaS2, AgGaSe2, CuGaS2, CuGaSe2, and their alloys. We show that, in contrast to conventional semiconductors, the band structures of these compounds exhibit several anomalous behaviors: i The band gaps of AgGaX2 are larger than the corresponding CuGaX2 X = S and Se compounds, despite the lattice constants of AgGaX2 being much larger than for CuGaX2. ii The valence band offsets between common-anion pairs CuGaX2 / AgGaX2 are large and negative i.e., CuGaX2 has higher valence band maximum than AgGaX2, opposite to their II-VI analogs. iii The valence band offsets between M I GaS2 /M I GaSe2 M I = Cu, Ag are significantly smaller than their II-VI analogs. iv The band gap bowing parameters for the common-anion alloys are larger than the common-cation alloys, following the same trend as the valence band offsets. Moreover, we find that the wave function localization of the conduction band minimum states at the group III site plays an important role on the band gap reduction of the chalcopyrites relative to their binary analogs. The origin of the band structure anomalies observed in this system is explained in terms of the atomic sizes and chemical potentials and the increased structural and chemical freedom of these ternary compounds.
SSA-UO: Unsupervised Sentiment Analysis in Twitter

This paper describes the specifications and results of SSA-UO, unsupervised system, presented in SemEval 2013 for Sentiment Analysis in Twitter (Task 2) (Wilson et al., 2013). The proposal system includes three phases: data preprocessing, contextual word polarity detection and message classification. The preprocessing phase comprises treatment of emoticon, slang terms, lemmatization and POS-tagging. Word polarity detection is carried out taking into account the sentiment associated with the context in which it appears. For this, we use a new contextual sentiment classification method based on coarse-grained word sense disambiguation, using WordNet (Miller, 1995) and a coarse-grained sense inventory (sentiment inventory) built up from SentiWordNet (Baccianella et al., 2010). Finally, the overall sentiment is determined using a rule-based classifier. As it may be observed, the results obtained for Twitter and SMS sentiment classification are good considering that our proposal is unsupervised.
Outline of Intelligent Support System for Development Projects

The complexity of modern projects makes the proper management of them crucial. The volatile environment of the twenty-first century me ans that it is important to choose the right moment to start a project. Because the decisi on to start is irreversible, we are dealing with a real option. The paper presents a outline of Support System for choosing the right moment to start a project on the basis of multi-sta te real options. The system is based on knowledge of the future changes in the factors affe cting the results of the project The TOPSIS method was used to choose the efficient dec ision.
Partial Hedging of Equity-Linked Products in the Presence of Policyholder Surrender Using Risk Measures

Throughout the past couple of decades, the surge in the sale of equity linked products has led to many discussions on the valuation of surrender options embedded in these products. However, most studies treat such options as American/Bermudian style options. In this thesis, a different approach is presented where only a portion of the policyholders react optimally, due to the belief that not all policyholders are rational. Through this method, a probability of surrender is found and the product is partially hedged by iteratively reducing the measure of risk to a non-positive value. This partial hedging framework is versatile since few assumptions are made. To demonstrate this, the initial capital requirement for an equity linked product is found under a bivariate equity/interest model with a copula based dependence structure. A numerical example is presented in order to demonstrate some of the dynamics of this valuation method. In addition, a surprising result is found during the adjustment of the surrender parameters which directly implies that under a particular valuation method, an increased number of policy surrenders causes a drop in the initial capital requirement. This counter-intuitive result is directly caused by the partial hedging method.
Robust measurements of electric conductivity in polyethylene based materials: measurement setup, data processing and impact of sample preparation

In this work, a measurement setup and an algorithm are introduced that allow for obtaining and processing the current data during standard measurements of electric conductivity in polymeric insulation materials. Robustness of this setup is demonstrated through dc conductivity measurements of low density polyethylene (LDPE) specimens that were prepared by two different techniques, i.e. compression molding and extrusion, at two independent laboratories (at Chalmers and KTH) from the same raw pellets. The results resented in this paper reveal that the implemented data processing algorithm allows for clear separation of the conduction current level and the external noise and thus for good differentiation between the conductivity levels in the investigated material specimens. In addition, a high reproducibility of the results is obtained for the independently manufactured specimens, suggesting the proposed measurement technique is well suitable for characterization of low conducting dielectrics.
Doing social media analytics

In the few years since the advent of ‘Big Data’ research, social media analytics has begun to accumulate studies drawing on social media as a resource and tool for research work. Yet, there has been relatively little attention paid to the development of methodologies for handling this kind of data. The few works that exist in this area often reflect upon the implications of ‘grand’ social science methodological concepts for new social media research (i.e. they focus on general issues such as sampling, data validity, ethics, etc.). By contrast, we advance an abductively oriented methodological suite designed to explore the construction of phenomena played out through social media. To do this, we use a software tool – Chorus – to illustrate a visual analytic approach to data. Informed by visual analytic principles, we posit a two-by-two methodological model of social media analytics, combining two data collection strategies with two analytic modes. We go on to demonstrate each of these four approaches ‘in action’, to help clarify how and why they might be used to address various research questions.
COMPUTATION OF HARMONIC GREEN'S-FUNCTIONS OF A HOMOGENEOUS SOIL USING AN AXISYMMETRIC FINITE ELEMENT METHOD

Ground-borne vibrations are disturbing to human beings. In order to model and reduce these vibrations, the calculation of the harmonic Green's-functions of the soil is highly required. In the past, the problem was approached by an analytical methodology. For the first time, this paper proposes to compute these Green's-functions by using an axisymmetric finite element approach. Careful attention was paid to the convergence of results regarding the mesh size. The new proposed solution was applied to calculate the harmonic Green's-functions of a homogeneous half-plane soil. The new methodology has a great potential to be used in the modelling of railway and automobile traffic induced vibrations.
THE WINCKELMANN300 PROJECT: DISSEMINATION OF CULTURE WITH VIRTUAL REALITY AT THE CAPITOLINE MUSEUM IN ROME

Abstract. The best way to disseminate culture is, nowadays, the creation of scenarios with virtual and augmented reality that supply the visitors of museums with a powerful, interactive tool that allows to learn sometimes difficult concepts in an easy, entertaining way. 3D models derived from reality-based techniques are nowadays used to preserve, document and restore historical artefacts. These digital contents are also powerful instrument to interactively communicate their significance to non-specialist, making easier to understand concepts sometimes complicated or not clear. Virtual and Augmented Reality are surely a valid tool to interact with 3D models and a fundamental help in making culture more accessible to the wide public. These technologies can help the museum curators to adapt the cultural proposal and the information about the artefacts based on the different type of visitor’s categories. These technologies allow visitors to travel through space and time and have a great educative function permitting to explain in an easy and attractive way information and concepts that could prove to be complicated. The aim of this paper is to create a virtual scenario and an augmented reality app to recreate specific spaces in the Capitoline Museum in Rome as they were during Winckelmann’s time, placing specific statues in their original position in the 18th century.
Orthonormal Wavelet Analysis for Deep-Water Breaking Waves

This study aims to develop a method using wavelet transform to detect wave breaking event from temporal water surface elevation data. Sudden surface jump associated with breaking wave is regarded as shock wave and shock wavelet spectrum is defined to detect the occurrence of the surface jump. The visual observation of breaking wave crest shows that this method can almost completely detect the occurrence of breaking wave in random wave trains.
Magnetic resonance imaging in patients with atrial fibrillation before left atrial appendage closure after brain hemorrhage

Background: Brain MRI may be helpful for selecting patients at higher risk of further bleeding after a first hemorrhagic stroke in patients with atrial fibrillation treated by oral anticoagulants. MRI may detect imaging markers consistent with an increased risk of further bleeding that could improve patient selection for left atrial appendage closure (LAAC). Method: We studied clinical and imaging data of patients with atrial fibrillation treated by oral anticoagulants who experienced hemorrhagic stroke. MRI was performed for the detection of small vessels disease abnormalities (cerebral amyloid angiopathy (AA) or severe hypertensive microangiopathy) suggesting a higher hemorrhagic risk thus supporting the choice of LAAC closure instead of anticoagulants to prevent thromboembolic events. Results: Between December 2013 and February 2016, 37 patients were included. Among them 25 patients experienced brain hemorrhage and underwent a cerebral MRI before LAAC. 16% (4/25) had severe white matter damage, 24% (6/25) exhibit MRI features consistent with hypertensive microangiopathy/or multiple cortical microbleeds (CMBs) and cortical superficial siderosis (CSS) consistent with AA. 16% (4/25) with mixed anomalies and 11 (44%) had undetermined small vessel disease. Conclusion: Brain MRI after a first hemorrhagic stroke may provide helpful information on the risk of bleeding recurrence before LAAC.
High Productivity Continuous Concrete Mixing System

Newly developed continuous M-Y mixer has number of mixing units connected in series. When using it in the horizontal way, it fully complies the 2 mixing theory of kneading and lapping mechanism. When using it in the vertical way, mixing work can be done under gravity force only, with the new modified mechanism of inter-particle collision and impact. The vertical set-up of M-Y mixer is renamed as Energy Saving Gravity (ESG) mixer to represent its mixing characteristic under gravity force only. A newly developed High Productivity Continuous Mixing System (new mixing system) is composed of ESG mixer, continuous conveying systems and real time monitoring system. This paper describes about this new mixing system and its practicability for concrete production work in dam project.
Performance of coastal sea-defense infrastructure at El Jadida (Morocco) against tsunami threat: lessons learned from the Japanese 11 March 2011 tsunami

Abstract. This paper seeks to investigate the effectiveness of sea-defense structures in preventing/reducing the tsunami overtopping as well as evaluating the resulting tsunami impact at El Jadida, Morocco. Different tsunami wave conditions are generated by considering various earthquake scenarios of magnitudes ranging from Mw = 8.0 to Mw = 8.6. These scenarios represent the main active earthquake faults in the SW Iberia margin and are consistent with two past events that generated tsunamis along the Atlantic coast of Morocco. The behaviour of incident tsunami waves when interacting with coastal infrastructures is analysed on the basis of numerical simulations of near-shore tsunami waves' propagation. Tsunami impact at the affected site is assessed through computing inundation and current velocity using a high-resolution digital terrain model that incorporates bathymetric, topographic and coastal structures data. Results, in terms of near-shore tsunami propagation snapshots, waves' interaction with coastal barriers, and spatial distributions of flow depths and speeds, are presented and discussed in light of what was observed during the 2011 Tohoku-oki tsunami. Predicted results show different levels of impact that different tsunami wave conditions could generate in the region. Existing coastal barriers around the El Jadida harbour succeeded in reflecting relatively small waves generated by some scenarios, but failed in preventing the overtopping caused by waves from others. Considering the scenario highly impacting the El Jadida coast, significant inundations are computed at the sandy beach and unprotected areas. The modelled dramatic tsunami impact in the region shows the need for additional tsunami standards not only for sea-defense structures but also for the coastal dwellings and houses to provide potential in-place evacuation.
A Hidden Markov Modeling Approach for Admixture Mapping Based on Case-Control Haplotype Data

Author(s): Zhang, Chun; Chen, Kun; Seldin, Michael F; Li, Hongzhe | Abstract: Admixture mapping is potentially a powerful method for mapping genes for complex human diseases, when the disease frequency due to a particular disease susceptible gene is different between founding populations of different ethnicity. The method tests for genetic linkage by detecting association of the allele ancestry with the disease. Since the markers used to define ancestral populations are not fully informative for the ancestry status, direct test of such association is not possible. In this paper, we develop a hidden Markov model (HMM) framework for estimating the unobserved ancestry haplotypes across a chromosomal region based on marker haplotypes. The HMM efficiently utilizes all the marker data to infer the latent ancestry states at the putative disease locus. In this modeling framework, we consider a likelihood based approach for detecting genetic linkage based on case-control data. We evaluate by simulations how several factors affect the power of admixture mapping, including sample size, ethnicity relative risk, marker density and the different admixture dynamics. Our simulation results indicate correct type 1 error rates of the proposed likelihood ratio test and great impact of marker density on the power. In addition, simulation results indicate that the methods work well for the admixed populations derived from both hybrid-isolation and continuous gene-flowing models.
STATUS ASSESMENT OF A SHOAL BASS POPULATION IN THE LOWER FLINT RIVER, GEORGIA by ANDREW

IN THE LOWER FLINT RIVER, GEORGIA by ANDREW THOMAS TAYLOR (Under the Direction of Douglas L. Peterson) ABSTRACT The shoal bass (Micropterus cataractae) is a popular sport fish endemic to the Apalachicola-Chattahoochee-Flint Basin of Alabama, Georgia, and Florida. The species is in continual decline throughout its range, probably because of the negative effects of dams, non-native black basses (Micropterus spp.), and angling mortality. In this thesis, I present a thorough species review as well as two research chapters addressing the status and threats of a shoal bass population in the lower Flint River, Georgia. I estimated adult abundance within a spawning aggregation and also discovered that ~12% of sampled shoal bass were hybrids with non-native black basses. Mortality of shoal bass translocated during summer fishing tournaments seems relatively high (~33%), but population-level effects remain unclear. I concluded that the study population is facing several threats; therefore, diligent management of the fishery is warranted. Furthermore, similar status assessments are needed throughout the species range to inform future management and conservation efforts.
High Arctic flowering phenology and plant–pollinator interactions in response to delayed snow melt and simulated warming

The projected alterations to climate in the High Arctic are likely to result in changes to the short growing season, particularly with varying predicted effects on winter snowfall, the timing of summer snowmelt and air temperatures. These changes are likely to affect the phenology of interacting species in a variety of ways, but few studies have investigated the effects of combined climate drivers on plant–pollinator interactions in the High Arctic. In this study, we alter the timing of flowering phenology using a field manipulation experiment in which snow depth is increased using snow fences and temperatures are enhanced by open-top chambers (OTCs). We used this experiment to quantify the combined effects of treatments on the flowering phenology of six dominant plant species (Dryas octopetala, Cassiope tetragona, Bistorta vivipara, Saxifraga oppositifolia, Stellaria crassipes and Pedicularis hirsuita), and to simulate differing responses to climate between plants and pollinators in a subset of plots. Flowers were counted regularly throughout the growing season of 2015, and insect visitors were caught on flowers during standardised observation sessions. As expected, deep snow plots had delayed snow melt timing and this in turn delayed the first and peak flowering dates of the plants and shortened the prefloration period overall. The OTCs counteracted the delay in first and peak flowering to some extent. There was no effect of treatment on length of flowering season, although for all variables there were species-specific responses. The insect flower–visitor community was species poor, and although evidence of disruption to phenological overlaps was not found, the results do highlight the vulnerability of the plant–pollinator network in this system with differing phenological shifts between insects and plants and reduced visitation rates to flowers in plots with deep snow.
Optimization of Fermentation Conditions for Antibiotic Production by Actinomycetes YJ1 Strain against Sclerotinia sclerotiorum

In order to improve the productivity of activities substance of actinomycetes YJ1, the effects of the medium components, inoculation volume, medium capacity, rotary speed, fermentation time, temperature and initial pH on the biological activity of YJ1 were investigated by detecting the mycelium growth inhibition rate of Sclerotinia sclerotiorum . The results show that the inhibition rate is the highest under the optimum medium composition (g/L), containing sucrose 10.0, soluble starch 10.0, soybean meal 20.0, K 2 HPO 4 0.5, MgSO 4 0.5, NaCl 1.0 and FeSO 4 0.01. The maximum antibiotic activity is obtained at the inoculation volume 5%, medium volume in 250 ml flask 75 ml, rotary speed of 180 r/min, fermentation time 4 days, temperature 28°C and initial pH 7.0. The inhibition rate has been increased by 6.71% under the optimized condition.
INTEGRATION OF ENTREPRENEURIAL ORIENTATION AND DYNAMIC CAPABILITIES IN DYNAMIC ENVIRONMENT OF SMALL AND MEDIUM ENTERPRISES: A CASE OF NIGERIAN EXPORT FIRMS

Small and medium enterprises (SMEs) in developing countries most especially in Nigeria have performed below expectation in their important roles of promoting and developing economic growth. This poor performance has been of great concern and disturbance to all the stakes holders- government, professionals, public and private sectors and international agencies. Responses to this critical situation culminated to yearly budgetary allocation, favorable policies, favorable pronouncement incentives and regulations giving by government. These efforts and interest of different levels of government and even international agencies to make SMEs subsector to be vibrant and leave to their expectation indicated that the crucial roles of SMEs are recognized. However, the situation become more disturbing, confusing and critical when the degree of poverty, unemployment and hunger that SMEs supposed to reduce continue to increase at alarming rate, in spite of all drastic measures and incentives provided yearly. This study realized it is high time to proffer sustainable solutions to SMEs particularly, introducing entrepreneurial orientations and dynamic capabilities as key variables that are necessary to improve the export performance of SMEs, building on the previous literatures that suggested the need for strategic orientations in order to exact great effect on firm performance in dynamic environment and recommend renewal and reconfiguration for SMEs.
Perceptions of Place – Evaluating experiential qualities of streetscapes

Working with a small set of 60 images from a collection of over 1000 digital photographs, the following paper presents ongoing research into the experiential qualities of street scapes. This paper examines the initial results of a survey of 75 voluntary based perceptive studies and focusses on a sample cohort of 30 participants (20 cognate and 10 non-cognate respondents) who were asked to evaluate a streetscape experience based on favourable and unfavourable perceptive qualities. Using a spatial sequencing process, akin to the 'Serial Vision' methodology of Gordon Cullen, respondents were asked to rate a section of urban fabric based on favourable (hot or warm) and unfavourable (cold or cool) traits and to digitally capture these images. The study yields results which highlight the importance of the quality and effect of green attributes within the overall street scape experience. The implications for urban design practice (streetscape greening), are briefly explored.