Miracle-dz/UniFAR-FTUs huggingface dataset:
Political Stance in Danish

The task of stance detection consists of classifying the opinion within a text towards some target. This paper seeks to generate a dataset of quotes from Danish politicians, label this dataset to allow the task of stance detection to be performed, and present annotation guidelines to allow further expansion of the generated dataset. Furthermore, three models based on an LSTM architecture are designed, implemented and optimized to perform the task of stance detection for the generated dataset. Experiments are performed using conditionality and bi-directionality for these models, and using either singular word embeddings or averaged word embeddings for an entire quote, to determine the optimal model design. The simplest model design, applying neither conditionality or bi-directionality, and averaged word embeddings across quotes, yields the strongest results. Furthermore, it was found that inclusion of the quotes politician, and the party affiliation of the quoted politician, greatly improved performance of the strongest model.
Efficient Data Cleaning Algorithm and Swift Unique User Identification Algorithm Using Coalesced Hashing and Binary Search Techniques for Web Usage Mining

The overall study focuses on proposing a new Data cleaning and Unique User Identification processing and Unique User Identification algorithms for Web Usage Mining to discover and analyse the user’s access pattern through mining of log files or log databases and the associated data from a particular website. Pre-Processing technique is to clean the data and user identification process to identify unique users. Since number of users interacting with web sites around the world is increasing day by day, the amount of data generated and information gathered could help the organizations to improve their business according to the customers’ needs
INFORMATION SEEKING THROUGH INTERNET : A CASE STUDY OF TRAINEE TEACHERS IN MALAYSIA

This paper presents a qualitative case study on tr ai ee teachers’ experiences in using Internet for seeking information. The stud y employed documents analysis, observation, interview and field notes in volving Malaysian trainee teachers. Findings demonstrated the high level of c omputer usage among participants. Furthermore, they responded positivel y r garding the benefits of using Internet, whilst agreeing to have various met hods for information seeking through the Internet. Yet, some important issues ha ve emerged regarding the passive attitude towards Internet usage, slow Inter ne connection and poor Internet facilities. These factors give rises to wh at further research may need on adapting Internet usage for teacher education.
How Plesiosaurs Swam: New Insights into Their Underwater Flight Using “Ava”, a Virtual Pliosaur

Analysis of plesiosaur swim dynamics by means of a digital 3D armature (wireframe “skeleton”) of a pliosauromorph (“Ava”) demonstrates that: 1, plesiosaurs used all four flippers for primary propulsion; 2, plesiosaurs utilized all four flippers simultaneously; 3, respective pairs of flippers of Plesiosauridae, front and rear, traveled through distinctive, separate planes of motion, and; 4, the ability to utilize all four paddles simultaneously allowed these largely predatory marine reptiles to achieve a significant increase in acceleration and speed, which, in turn, contributed to their sustained dominance during the Mesozoic.
Understanding Raw Waveform based CNN through Low-rank Spectro-Temporal Decoupling

Acoustic modeling using convolutional neural networks with raw waveform input has become popular for many speech processing tasks. In the series of convolutional layers, the first layer acts as a frequency selective filter-bank, and the subsequent ones involve 2D spectro-temporal filters. Since each filter focuses on a different spectro-temporal pattern, there is an inherent redundancy in the learned filters. In this work we exploit this redundancy and propose an alternative approach to train robust networks for speech applications. This is achieved by spectro-temporal decoupling, where each 2D filter is approximated by a linear combination of a low-rank set of spectral/temporal basis filters. This filtering operation can be seen as filtering temporal spectral energy trajectories followed by their combination across spectral bands or vice versa. With a case study on speech recognition, we show that the proposed scheme is robust, efficient and achieves comparable/better baseline accuracy.
Antecedents of Interpersonal Trust in Tax Audits

Using a survey of 154 tax auditors (civil servants) we study the development of interpersonal trust between tax auditors and taxpayers during the course of a tax audit. Although the concepts of mutual trust, understanding and transparency are centrepieces of so-called enhanced relationship taxcompliance programs that have recently been developed worldwide the issue of interpersonal trust between the involved parties has been neglected by prior research. Drawing on insights from financial auditing research we investigate auditors’ individual trait characteristics, auditee’s behaviour during the conduct of the audit, and the level of conflict. We find that interpersonal trust develops independently from auditor’s professional scepticism, while auditor’s professional identification even promotes interpersonal trust. Further, it shows that also in a tax audit environment auditor’s trust increases with the information quality and less opportunistic behaviour of the auditee, and in a low-conflict relationship. In addition to the theoretical contributions, the findings have practical implications for tax auditors and auditees.
Transition-based DRS Parsing Using Stack-LSTMs

We present our submission to the IWCS 2019 shared task on semantic parsing, a transition-based parser that uses explicit word-meaning pairings, but no explicit representation of syntax. Parsing decisions are made based on vector representations of parser states, encoded via stack-LSTMs (Ballesteros et al., 2017), as well as some heuristic rules. Our system reaches 70.88% f-score in the competition.
MANAGEMENT OF AFLATOXIGENIC STRAINS VIA VAPOR AND CONTACT TREATMENT WITH ESSENTIAL OIL OBTAINED FROM Myristica fragrans

This study evaluated the inhibitory effects of essential oil extracted from Myristica fragrans Houtt (nutmeg) by hydrodistillation on mycelial growth, sporulation, and aflatoxin B1 production of Aspergillus flavus IMI 242684 and Aspergillus parasiticus IMI 283883 by fumigant and contact application. Gas chromatography-mass spectrometry analysis of M. fragrans essential oil showed that safrole (42.50%) was the major component, followed by 4terpineol (23.81%) and methyl eugenol (11.14%). At an essential oil concentration of 1000 ppm, the mycelial growth of both Aspergillus strains was significant completely inhibited by vapor treatment but only reduced by about 70% by contact treatment. By contrast, sporulation and aflatoxin B1 production were completely inhibited by both contact and vapor treatment. Vapor treatment induced a higher level of inhibition than contact treatment. In conclusion, nutmeg essential oil is a potential chemical agent and can help to prevent infestation of stored foods and feeds.
Title Towards sharing task environments to support reproducibleevaluations of interactive recommender systems

Beyond sharing datasets or simulations, we believe the Recommender Systems (RS) community should share Task Environments. In this work, we propose a high-level logical architecture that will help to reason about the core components of a RS Task Environment, identify the differences between Environments, datasets and simulations; and most importantly, understand what needs to be shared about Environments to achieve reproducible experiments. The work presents itself as valuable initial groundwork, open to discussion and extensions.
Histopathological Study of the Endometrium In Cases Of Post-Menopausal Bleeding In A Tertiary Government Hospital

Postmenopausal bleeding is frequent in gynaecology and accounts approximately 5-10% of postmenopausal women. About 10% of women with postmenopausal bleeding have a primary or secondary malignancy. Aim: To study various clinical features in a patient with post menopausal bleeding. To study the different pathological changes in the endometrium and endocervix in post menopausal bleeding. Results: The mean age at menopause was 47 years. The earliest age at menopause was 42 years. The delayed age at menopause was 58 years. The duration of menopause varied from 7 months to 12 years. In majority of cases bleeding occurred with in 2 years of menopause. Conclusion: All malignant causes of post-menopausal bleeding had their bleeding episodes greaterthan 5 years after attainment of menopause. 86 cases out of 100 had uneventful menopause, 14 cases had peri-menopausal menstrual irregularly.
A Multi-Objective Approach for Optimal Store Placement

When a store owner wants to open a new store he or she desires a location that attracts a large number of customers. Previous work has shown how location based social networks can contribute to this decision process. However, opening a store also has an impact on the surrounding neighbourhood. With the use of urban planning theories we define a score showing the impact of these store placements. We propose a framework, that selects the best venue categories for a given location in a city according to their scores for both perspectives. These scores are computed from metrics extracted using a location based social network from Foursquare. Our experiments, based on the city of New York, show that the number of suitable store categories, for a single location, are often not singular. This indicates that this multiobjective approach is necessary in solving the optimal store placement problem.
Vertex-magic edge Z2nm-labeling of Cn2Cm

A vertex-magic edge Γ-labeling of a graph G(V,E) with |E| = k is a bijection from E to an Abelian group Γ of order k such that the sum of labels of all incident edges of every vertex x ∈ V is equal to the same element μ ∈ Γ. We present a vertex-magic edge Z2nm-labeling of Cartesian product of two cycles, Cn2Cm for n odd. This along with an earlier result by Ivančo proves that a vertex-magic edge Z2nm-labeling of Cn2Cm exists for every n,m ≥ 3.
Perceptual relevance of speaker directivity modelling in virtual rooms

Sound sources like a human speaker, musical instruments and loudspeakers typically radiate sound with a frequency-dependent directivity pattern. If a human speaker faces the receiver, more high-frequency components reach the receiver as when the speaker turns in the opposite direction. This is perceptually easily detectable, particularly in anechoic conditions. In rooms, early reflections and late diffuse reverberation, which both can be differently affected by the directivity pattern of the source, occur in addition to the direct sound. While source directivity appears relevant for distinct early reflections, it is unclear to which extent the perceptual effects average out for later reflections and diffuse reverberation. Here we assess to what extent directivity of a human speaker should be modelled for early reflections and diffuse reverberation. For this we used a hybrid approach to simulate and auralize binaural room impulse responses [Wendt et al., JAES, 62, 11 (2014)], combining an image source model (ISM) for early reflections with a feedback delay network for diffuse reverberation. The approach was extended by a directivity filter based on a spherical head model. Listeners distinguished between source orientations solely based on ISM-directivity and detected average source directivity filtering even in reverberant conditions.
BIOCOMPOSITE CONTAINING FUCOIDAN FOR DRUG DELIVERY

Therapeutic agents target delivery may enhance the effectiveness of drug action and at the same time reduce a number of side effects. Therefore, the development of drug delivery systems using natural polymers is a burning problem. A high-molecular-weight polymer, fucoidan in particular, along with magnetic particles was used for the research. The hydrodynamic radius of the obtained biocomposites was studied using the dynamic light scattering. The results show that with the increase in magnetic nanoparticles in specimens, electrokinetic potential grows. High proportion of polysaccharide in the obtained systems may provoke a high biological activity and matrix biocompatibility.
" KEYWORDS " " SIZE HEIGHT " 240 " WIDTH " 160 " VOFFSET " 2 " > vowels produced and perceived by Chinese , Dutch and American speakers of English

Linguistics in the Netherlands 2004 21 (2004), 205–216. issn 0929–7332 / e-issn 1569–9919 ©Algemene Vereniging voor Taalwetenschap <TARGET "wan" DOCINFO AUTHOR "Hongyan Wang and Vincent J. van Heuven"TITLE "Cross-linguistic confusion of vowels produced and perceived by Chinese, Dutch and American speakers of English"SUBJECT "AVT, Volume 21 (2004)"
Machine Learning-Based Drone Detection and Classification : State-ofthe-Art in Research

This paper presents a comprehensive review of current literature on drone detection and classification using machine learning with different modalities. This research area has emerged in the last few years due to the rapid development of commercial and recreational drones and the associated risk to airspace safety. Addressed technologies encompass radar, visual, acoustic, and radio-frequency sensing systems. The general finding of this study demonstrates that machine learning-based classification of drones seems to be promising with many successful individual contributions. However, most of the performed research is experimental and the outcomes from different papers can hardly be compared. A general requirementdriven specification for the problem of drone detection and classification is still missing as well as reference datasets which would help in evaluating different solutions. INDEX TERMS Drone Detection, Drone Classification, Machine Learning, Radar, Vision, Acoustics, Radio-Frequency.
THE PREFERENCE STRUCIURE OF REPAIR AS A CONTEXTUAL VARIA13IE

A discussion of the preference structure of repair sequences in conversation argues that the structure varies predictably from one context to the next, based on the interpersonal relationship of the interlocutors. In particular, it is said to depend on the asymmetrical distribution of knowledge among the interlocutors, including knowledge of the language used, knowledge of the topic, and knowledge of the message itself. This analysis suggests a different picture of the preference structure than that proposed by other researchers in that this analysis (1) accepts other-correction by a more competent or knowledgeable speaker as a normal response to certain conversational circumstances, (2) views the relationship between interlocutors and their conversational goals as primary rather than centered in turn-taking and preference structures, and (3) recognizes distribution of knowledge as the fundamental factor determining the preference structure of repair in any given interaction. (MSE) *********************************************************************** * Reproductions supplied by EDRS are the best that can be made * from the original document. *******************************************************u***************
Potential of building thermal mass for energy flexibility in residential buildings : a sensitivity analysis

Building thermal mass, which can be used as a thermal storage system, can provide energy flexibility potential for demand response (DR). This flexibility refers to the deviation of energy demand against normal operation of building mechanical system during a certain period, for instance, during grid peak hours. This paper assesses several key performance indicators (KPIs) to quantify the building energy flexibility. A typical Canadian house is used as a case study and a simple setpoint temperature modulation approach is implemented. Simulation results show that the amount of flexible energy is quite significant, especially during colder weather. The energy rebound effect after the DR event is also analyzed and the implemented control strategy saves about 20% of energy for a DR duration of 2 hours without thermal comfort compromise.
The Study of Some Selected Facial Foramena Using Cadaver and Radiographic Methods in Nigerian Population

Original Research Article Background: A comprehensive study of the human skeletal features and variations between and within populations are beneficial both for clinical applications and determination of racial characteristics of populations. This statement implies that a comprehensive study on the u-shaped bone, mandible of Nigerians is of clinical importance and allows for studies on racial differences between Nigerians and others, and equally within Nigerians. Materials and Methods: The study comprised twenty-seven human male cadavers obtained from the anatomy laboratories of two different universities in Nigeria. Measurements from panoramic and periapical radiographs of the mandibular foramen, mandibular canal and mental foramen. Results and Discussions: The position of the foramen was variable in different individuals, but the mental foramen was predominantly located below the lower second premolar tooth, and the mandibular foramen and was located on the posterior surface of the ramus of mandible. Conclusions: The percentage distribution of the mental foramen in relation to the lower second premolar tooth was not at variance with those of other races or population groups. The mandibular foramen was present on the inner surface of the ramus of the mandible. This research work is of clinical and anatomical significance to medical practitioners for a successful inferior alveolar and mental nerve block anesthesia and the prevention of damage to the mental nerve during surgical procedures in the lower jar.
The First Shared Task on Discourse Representation Structure Parsing

The paper presents the IWCS 2019 shared task on semantic parsing where the goal is to produce Discourse Representation Structures (DRSs) for English sentences. DRSs originate from Discourse Representation Theory and represent scoped meaning representations that capture the semantics of negation, modals, quantification, and presupposition triggers. Additionally, concepts and event-participants in DRSs are described with WordNet synsets and the thematic roles from VerbNet. To measure similarity between two DRSs, they are represented in a clausal form, i.e. as a set of tuples. Participant systems were expected to produce DRSs in this clausal form. Taking into account the rich lexical information, explicit scope marking, a high number of shared variables among clauses, and highly-constrained format of valid DRSs, all these makes the DRS parsing a challenging NLP task. The results of the shared task displayed improvements over the existing state-of-the-art parser.
Audio signal Emitter Channel Watermark Receiver Watermarked signal Watermark ' Watermark decoder Watermark encoder

Audio watermarking started in the nineties as a modern and very technical version of playing cat and mouse. The music industry, dominated by the "big four" record groups, also known as the "Majors" (Sony BMG, EMI, Universal and Warner), quickly realized that the availability of digital media for music recordings and the possibility to transfer it fast and degradation-free (thanks to the availability of high data-rate networks and of efficient data compression standards) would not only offer many benefits in terms of market expansion, but also expose their business to a great danger: that of piracy of intellectual property rights. Being able to insert proprietary marks in the media without affecting audio quality (i.e., in a
Chapter 6 Quality Initiatives in Foot and Ankle Surgery

Quality initiatives in orthopedics and traumatology are becoming more and more popular worldwide. They can include both mandatory and voluntary methods, such as standardized mandatory surveys, compulsory quality reports, registries, personal certificates, or launching centers of excellence, which means a certification of a whole department. Even in foot and ankle surgery registries, certifications and centers of excellence have been established. This chapter provides an overview of different approaches used to improve quality of care in patients with foot and ankle disorders. We present different methods in use today and discuss their key characteristics.
Managerial Ownership and Tax Avoidance

Prior work examines and finds that a variety of ownership structures are associated with corporate tax avoidance (e.g., family ownership, private equity ownership, and dual-class ownership). Although diffuse ownership is a prevalent ownership structure of the U.S. public firms, there is limited evidence on the relation between managerial ownership and tax avoidance among firms with diffuse ownership. We address this question in two ways. First, we examine a set of firms with diffuse ownership for which boards of directors adopt target ownership plans. Using a difference-in-difference design for 3,321 firm-years, we find firms that adopt stock ownership plans that require increased managerial ownership are associated with lower cash effective tax rates following plan adoption relative to propensitymatched control firms; whereas firms that adopt plans that only constrain managerial selling are not associated with lower cash effective tax rates following adoption. Second, we complement these findings by examining a pooled sample of 23,112 firm-years over the period 1992-2013. Using a pooled approach, we estimate quantile regressions and find that managerial ownership has a positive relation with cash effective tax rates at the lower tail of the cash effective tax rate distribution, whereas it exhibits a negative relation with cash effective tax rates at the higher tail of the distribution. Collectively, our findings are consistent with improved incentive alignment between managers and shareholders mitigating both overand under-investment in tax avoidance. * Jaewoo Kim is an Assistant Professor at the Simon Graduate School of Business at the University of Rochester and may be reached at jaewoo.kim@simon.rochester. edu. Phil Quinn is an Assistant Professor at Foster School of Business at the University of Washington and may be reached at philq@uw.edu. Ryan Wilson is an Associate Professor at the Lundquist College of Business at the University of Oregon and may be reached at rwilson3@uoregon.edu. We appreciate helpful comments from Terrence Blackburn, Asher Curtis, Dan Lynch, Sarah Shaikh, and Brian Williams. The authors gratefully acknowledge the generous financial support from their respective institutions
Five-Dimensional SpaceTimes with a Variable Gravitational and Cosmological Constant

We have presented cosmological models in five-dimensional Kaluza-Klein space-time with a variable gravitational constant (G) and cosmological constant (Λ). We have investigated Einstein’s field equations for five-dimensional Kaluza-Klein space-time in the presence of perfect fluid with time dependentG andΛ. A variety of solutions have been found in whichG increases andΛ decreases with time t, which matches with current observation. The properties of fluid and kinematical parameters have been discussed in detail.