Miracle-dz/UniFAR-FTUs huggingface dataset:
Non-stationary Multiple-point Geostatistical Simulations with Region Concept

The multiple-point (mp) geostatistical algorithm SNESIM can generate ‘realistic’ lithofacies model by borrowing geological patterns from a training image. However, it requires that input training image to be reasonably stationary. In practice, most reservoirs are non-stationary, thus the incorporation of non stationary information during mp simulation is a challenge. In this paper, two concepts are proposed to account for non stationary constraints in the SNESIM algorithm: (1) extended rotation/affinity concept and (2) region concept. Local rotation/affinity can handle local non stationarity whenever the geological structures differ only by orientations and sizes. The implementation is extremely CPU efficient, at the cost of greater RAM demand because of the large number of search trees that must be constructed and stored in memory. The region concept is designed to account for the ‘general’ non stationary case when the geological patterns are deemed significantly different from one reservoir sub-domain (region) to another, calling for different training images and parameters for each individual region. Implementation of this region concept is both RAM and CPU efficient, while preserving simulation quality. This region concept is also implemented into the FILTERSIM algorithm to account for the general non stationary case.
Occupancy modelling for moving object detection from lidar point clouds: a comparative study

Abstract. Lidar technology has been widely used in both robotics and geomatics for environment perception and mapping. Moving object detection is important in both fields as it is a fundamental step for collision avoidance, static background extraction, moving pattern analysis, etc. A simple method involves checking directly the distance between nearest points from the compared datasets. However, large distances may be obtained when two datasets have different coverages. The use of occupancy grids is a popular approach to overcome this problem. There are two common theories employed to model occupancy and to interpret the measurements, Dempster- Shafer theory and probability. This paper presents a comparative study of these two theories for occupancy modelling with the aim of moving object detection from lidar point clouds. Occupancy is modelled using both approaches and their implementations are explained and compared in details. Two lidar datasets are tested to illustrate the moving object detection results.
Using Semantic Data Models for enhancing Process Mining in Issue Tracking Systems

In any software project lifecycle, there are unexpected problems that occur during the development. To deal with this, there is an information system, called Issue Tracking System (ITS) that keeps track of software issues as they occur. Although the information about those tickets is stored, the respective internal processes are seen as black-boxes, making it difficult to understand what is really happening. To solve that, Process Mining (PM) uses existing information from the event logs recorded by ITS to automatically create the processes that represent its behaviour. However, there are several fields that identify a certain issue (like issue type, priority, resolution) and to analyze the processes for all different issue variants, it’s necessary to extract an event log for each particular case and load them into a PM tool, making it a daunting task to manually customize a log for each type of process available. This thesis consists in proposing an additional architecture layer in the PM approach that stores all the information of the event logs in a semantic data model (ontology) and allows the creation of parameterized queries over the existing data model to enable a customized business process creation. The implemented artifact is applied in practice with a project that uses an ITS: Open edX, a platform that serves as a open source course management system, used for hosting Massive Open Online Courses (MOOCs). The evaluation is done according with a defined set of metrics that allow us to compare the results between the different created processes.
A Taxonomic Review of Western Australian Plants Screened in KB Cell Culture and Other Bioassays in the Search for New Anticancer Drugs

Antitumor screening data in KB Cell Culture (KB) are presented for extracts of plant samples collected by the author from Western Australia (WA) during Aug–Oct 1981. This includes active (≤ ED50 20 µg/ml) and inactive test results received from Purdue University for 181 samples represented by 127 species in 77 genera. It also includes published and unpublished reports on other WA samples collected largely by the author and two by CSIRO–during the mid 1960’s— that were active in KB and other antitumor bioassays from screening done at the Research Triangle Institute (RTI) in North Carolina and at the National Cancer Institute (NCI). These data are summarized by family, genus, species, and plant parts. Fifty-one species in 40 genera are reported active. Although the NCI had screened samples from approximately 35,000 species of plants, 28 genera in 15 families were new discoveries for antitumor activity at the genus level based on a NCI record of all genera that had been screened by Feb 1980. Antitumor activity in Restionaceae and Stackhousiaceae were new at the family level. Root was the most frequently active plant part, especially in Fabaceae and Proteaceae. The most cytotoxic species were Daviesia podophylla (Fabaceae) and Lepidobolus quadratus (Restionaceae). In view of KB activity in Restionaceae and one species of dryland sedge in the Cyperaceae tribe Schoeneae that showed significant antitumor activity in the L1210 assay, and that essentially all plant-derived anticancer drugs discovered by the NCI were active in L1210, it is suggested that further screening of Schoeneae and the related Restionaceae will lead to discovery of new anticancer drug(s).
Analysis of Official Letters Based on Applied Genre Analytical Model

Nowadays letters play a significant role in the realm of communication in general and in official or business occasions in particular. With the advent of emails, the function of letters is diminishing but in official contexts, letters have kept their value. The main concern of this paper is to show the interrelationship between different layers of official letters which are called textual, contextual, and social layers. Sixty authentic letters were analyzed according to the purpose of the authors. Through this investigation, five specific categories were found: Informative, Prescriptive, Appointment, Acknowledgment, and Invitation. Each category then was investigated according to Bhatia’s model of applied genre analysis in three domains which were mentioned above. It was found that there is a direct and positive relationship between these three layers. The direction is from social domain towards textual one in that the characteristics and features of social context affect the contextual domain and the context influences textual domain in respect. This study is a multi-faceted one in that all the five types of official letters are studied in accordance to three layers and the relationship between them is explained. This exploration shows that in official situations, ‘social identities’ are of paramount importance which have a remarkable influence on both conventions of the genre and textual features. This study is also helpful for those EFL students and all who need to write English official letters to avoid undue mistakes and to represent their thoughts clearly and fluently.
Time evolution of an infinite projected entangled pair state: An efficient algorithm

An infinite projected entangled pair state (iPEPS) is a tensor network ansatz to represent a quantum state on an infinite 2D lattice whose accuracy is controlled by the bond dimension $D$. Its real, Lindbladian, or imaginary time evolution can be split into small time steps. Every time step generates a new iPEPS with an enlarged bond dimension ${D}^{\ensuremath{'}}gD$, which is approximated by an iPEPS with the original $D$. In P. Czarnik and J. Dziarmaga, Phys. Rev. B 98, 045110 (2018), an algorithm was introduced to optimize the approximate iPEPS by maximizing directly its fidelity to the one with the enlarged bond dimension ${D}^{\ensuremath{'}}$. In this paper, we implement a more efficient optimization employing a local estimator of the fidelity. For imaginary time evolution of a thermal state's purification, we also consider using unitary disentangling gates acting on ancillas to reduce the required $D$. We test the algorithm simulating Lindbladian evolution and unitary evolution after a sudden quench of transverse field ${h}_{x}$ in the 2D quantum Ising model. Furthermore, we simulate thermal states of this model and estimate the critical temperature with good accuracy: $0.1%$ for ${h}_{x}=2.5$ and $0.5%$ for the more challenging case of ${h}_{x}=2.9$ close to the quantum critical point at ${h}_{x}=3.04438(2)$.
A Systematic Review of English Medium Instruction ( EMI ) and Implications for the South Korean Higher Education Context

This review focuses on the recent global trend of implementing English Medium Instruction (EMI) in non-English language higher education contexts. The aim is to arrive at a comprehensive view of published research focused on this global trend and to draw out the implications for international findings on EMI in the South Korean higher education context. A two-stage systematic literature review is used to explore the published EMI research. The first stage involves a quantitative content analysis, which establishes themes in the published research. The second stage involves an in-depth exploration of three specific areas, which are identified to be significant for successful EMI in the South Korean context (Byun, Chu, Kim, M., Park, Kim, S., & Jung, 2011). These include: a) the students' and the lecturers' language proficiencies, b) the varying demands of different academic situations, and c) EMI support. The review identifies how current policy makers’ handling of these areas has resulted in both challenges and opportunities for students and instructors engaged in EMI. However, the review indicates that current EMI implementation produces more challenges than opportunities to both parties and that this may be a by-product of a rapid implementation of the policy and a lack of adequate support for students' and instructors’ linguistic academic needs. The conclusion discusses the wider implications that the EMI trend may have for students' future English second language and academic content knowledge acquisition and offers guidelines which may strengthen future implementation of EMI in international higher education contexts.
Chapter 2 Paraphrases of verbal multiword expressions : the case of Czech light verbs and idioms

units 6,541,394 374,493 unique abstract units 1,776 211 unique abstract units > 100 1,361 153 unique MWEs 2,954 353 Table 5: The ranking of LVC and IVC abstract units identified in the data, based on their frequency. rank type abstract unit frequency 1. LVC mít_problém 211,296 ‘have a problem’ 2. LVC mít_možnost 207,330 ‘have a possibility’ ⋮ ⋮ ⋮ ⋮ 29. IVC mít_na_mysli 43,521 ‘have in mind’ ⋮ ⋮ ⋮ ⋮ 1986. IVC chytnout_chytat_chytit_za_špatný_konec 1 ‘get hold of the wrong end of the stick’ 1987. LVC přechodit_přecházet_přejít_ze_smíchu_do_pláče 1 ‘go from laughing to crying’
Microstructure and properties of VO2 thin films deposited by MOCVD from vanadyl acetylacetonate

Thin films of vanadium dioxide have been deposited on glass by low pressure metal-organic chemical vapour deposition using the β-diketonate complex, vanadyl acetylacetonate, as the precursor. It is found that nearly monophasic, monoclinic VO2(M) films are formed in the narrow temperature range 475–520 °C, films formed outside this range comprising significant proportions of other vanadium oxide phases beside VO2(M). The microstructure of these well-crystallized films varies significantly with temperature in this range. Films grown at 475 °C are dense and have a very strong (200) orientation. At 520 °C, films are somewhat porous, and display little preferred orientation. Film microstructure influences the semiconductor–metal transition noticeably. Films deposited at 475 °C have a large change in resistance at 66 °C, and display a small temperature hysteresis in the transition. The transition temperature in films grown at 520 °C is higher (72 °C), whereas the change in resistance is smaller and the hysteresis larger. An attempt has been made to understand the unusual microstructure of VO2 films grown on glass substrates. The variation in the phase transition characteristics is interpreted in terms of the observed film microstructure. The thermal properties of the CVD precursor are also reported.
Electrospun Nanofibers as Carriers for Bioactive Molecules

Copyright: © 2012 Zhong W. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Nanofibers are valued for their ultra-high specific surface areas (i.e. surface-to-volume or surface-to-mass values), and have been found potentially useful in many biomedical applications, such as wound dressing and scaffold for tissue engineering [1-3]. Modification or functionalization of nanofibers is necessary in order to engineer specific features that will help maximize their end-use performance. A spectrum of bioactive molecules, including antibacterial agents, anticancer drugs, enzymes, proteins, can be incorporated into nanofibers via different approaches.
Speech Detection in Adverse Conditions using Genetic Programming

The task of detecting when an utterance starts and ends in an audio stream, often referred to as endpointing, is a non-trivial issue for speech recognition systems, especially in adverse contexts such as applications accessed over a hands-free cellular phone. In this paper, we address a subset of the problem, namely a frame-based speech/background classification, using genetic programming. The problem was constrained to match the engineering requirements of a real endpointer in order to compare its performance to a consistent baseline. We show that genetically evolved programs consistently improve the baseline performance on this task. Figure 1: Portion of an audio stream containing an endpointed utterance
The Sri Lankan endemic semi‐slug Ratnadvipia (Limacoidea: Ariophantidae) and a new species from southwestern Sri Lanka

Abstract The endemic Sri Lankan land‐snail genus Ratnadvipia is reviewed and a new species is described. Detailed descriptions of the shell, external morphology of the animal, reproductive anatomy, spermatophore and radula of Ratnadvipia irradians and the new species are provided. Distributional data collected to date for the two species are reviewed. Both species are associated with the highly fragmented rain forests of Sri Lanka's wet southwestern quarter. R. irradians is the most wide‐ranging of Sri Lanka's endemic land snails. It extends into the drier parts of the island and occurs in synanthropic habitats such as home gardens. The new species is largely restricted to the lowland rain forests of the southern part of the wet lowlands. Both species appear to be at least partly arboreal, but little is known of their ecology.
Magma Storage and Extraction Associated with Plinian and Interplinian Activity at Santorini Caldera (Greece)

Santorini caldera has had a long history of plinian eruptions and caldera collapses, separated by20–40 kyr interplinian periods. We have carried out a study to constrain magma storage/extractiondepths beneath the caldera. We analysed H2O in 138 olivine-, pyroxene- and plagioclase-hostedmelt inclusions from plinian and interplinian products from the last 200 kyr, and CO2, S, Cl, F anddD in various subsets of these. The dataset includes 64 inclusions in products of the Minoan plinianeruption of the late 17th century BCE. All the melt inclusions were ellipsoidal and isolated, with notextural evidence for volatile leakage. Mafic melt inclusions contain 1–4 wt % H2O and up to1200ppm CO2, 1200ppm S, 2000ppm Cl and 400ppm F; silicic inclusions contain 2–7 wt % H2O, upto 150ppm CO2, up to 400ppm S, 2000–6000ppm Cl and 600–1000ppm F. The dD values of 27 representativeinclusions (–37 to –104%) are intermediate between mantle and slab values and ruleout significant H2O loss by hydrogen diffusion from olivine-hosted inclusions. H2O, S and Cl behavecompatibly in melt inclusion suites varying from mafic to silicic in composition, showing thatentrapment of many melt inclusions took place under volatile-saturated conditions. Most Santorinimelts are saturated in a free COHSCl vapour phase at depths of less than 10 km; the only exceptionsare basaltic melts from a single interplinian eruption, which were volatile-undersaturated upto K2O contents of 1 wt %. The rhyolitic melt of the Minoan eruption probably contained a freehypersaline liquid phase. H2OþCO2 saturation pressures were calculated using suitably calibratedsolubility models to estimate pre-eruptive magma storage depths. Magmas feeding plinian eruptionswere stored at >4km (>100 MPa) and extracted over depth intervals of several kilometres.Plagioclase phenocrysts in rhyodacitic pumice from the Minoan eruption have cores containingmelt inclusions trapped at depths up to 10–12km (320 MPa), and rims (also orthopyroxene andclinopyroxene) containing inclusions trapped at 4–6km (100–160 MPa). This records late-stage silicicreplenishment of a 4 km). Melt inclusions fromthe AD 726 eruption of Kameni Volcano yield a pre-eruptive storage depth of 4 km, which is similarto that estimated from geodetic data for the inflation source during the 2011–2012 period of caldera unrest; this supports a magmatic origin of the unrest. The level of pre-AD 726 magma storage beneathKameni was deeper than that of earlier silicic interplinian eruptions, perhaps owing tochanges in crustal stress caused by the Minoan eruption. Combined with previously published results,the melt inclusion data provide a time-integrated image of the crustal plumbing system.Mantle-derived basalts are injected into the lower crust, where they fractionate to produce evolvedmelts in bodies of hot crystal mush. Evolved residual melts separate from their parent mushes inthe 8 to >15km depth interval, then ascend rapidly into the upper crust, where they either crystallizeor accumulate as bodies of eruptible, crystal-poor magma.
VALUE PROPOSITIONS IN A COLLABORATIVE SERVICE SUPPLY CHAIN

Purpose – The purpose of this study is to examine facilitators and inhibitors when developing a value proposition that satisfies both a service provider as well as customers in a collaborative service supply chain. Design/methodology/approach – Empirical part consists of a case study of a multinational provider of project-based knowledge intensive construction, engineering and project management services. The empirical data was gathered by semi-structured interviews of the selected representatives of the case company. Findings – The present study shows that interaction, dialogue collaboration and sharing knowledge both inside the service provider organization as well as with the customers are central to develop a value proposition that satisfies all parties. The project business is marked by stiff competition and if a service provider does not inform the customer of its value proposition sufficiently well and convince the customer the service provider can put the proposal into practice in collaboration with the customer; the customer will usually accept whatever proposal is cheapest. Originality/value – The present study contributes to the knowledge related to the development of value propositions in business services incorporating that knowledge on demand-supply collaboration in a service supply chain.
Bubble and skyrmion crystals in frustrated magnets with easy-axis anisotropy

We clarify the conditions for the emergence of multiple-Q structures out of lattice and easy-axis spin anisotropy in frustrated magnets. By considering magnets whose exchange interaction has multiple global minima in momentum space, we find that both types of anisotropy stabilize triple-Q orderings. Moderate anisotropy leads to a magnetic field-induced skyrmion crystal, which evolves into a bubble crystal for increasing spatial and spin anisotropy. Finally, the bubble crystal exhibits a quasi-continuous (devil’s staircase) temperature dependent ordering wave-vector, characteristic of the competition between frustrated exchange and strong easy-axis anisotropy.
2 Genetic Models for Explaining Heterosis : Successes and Limitations

Heterosis refers to improved or altered performance observed in F1 hybrid organisms when compared to their parents. Heterosis has revolutionized agriculture by improving key agronomic traits in crop plants. However, even after decades of research in this area a unifying molecular theory of heterosis remains somewhat elusive. For many years it has been observed that the dominant, overdominant and epistasis models have prevailed for explaining multigenic heterosis. The use of whole transcriptome, proteome, metabolome and epigenome profiling approaches can further generate and inform hypotheses regarding heterosis. This chapter reviews the models that have been used to explain heterosis. We also review the mechanistic basis of epigenetic pathways in plants and describe how they may also be considered in relation to understanding heterosis. There are a number of findings that support potential links between epigenetic regulation and heterosis in model and crop plants, including the potential for DNA methylation, histone modification and small RNAs to influence heterotic effects in F1 hybrids. Overall, we assess some opportunities and challenges for epigenetic research to advance the molecular understanding of heterosis.
Position-Based Feature Selection for Body Sensors regarding Daily Living Activity Recognition

This paper proposes a novel approach to recognize activities based on sensor-placement feature selection. The method is designed to address a problem of multisensor fusion information of wearable sensors which are located in different positions of a human body. Precisely, the approach can extract the best feature set that characterizes each activity regarding a body-sensor location to recognize daily living activities. We firstly preprocess the raw data by utilizing a low-pass filter. After extracting various features, feature selection algorithms are applied separately on feature sets of each sensor to obtain the best feature set for each body position. Then, we investigate the correlation of the features in each set to optimize the feature set. Finally, a classifier is applied to an optimized feature set, which contains features from four body positions to classify thirteen activities. In experimental results, we obtain an overall accuracy of 99.13% by applying the proposed method to the benchmark dataset. The results show that we can reduce the computation time for the feature selection step and achieve a high accuracy rate by performing feature selection for the placement of each sensor. In addition, our proposed method can be used for a multiple-sensor configuration to classify activities of daily living. The method is also expected to deploy to an activity classification system-based big data platform since each sensor node only sends essential information characterizing itself to a cloud server.