Miracle-dz/UniFAR-FTUs huggingface dataset:
Genre variation in translation corpora: Evaluative prefixation in TED talks and parliamentary debates

Several scholars have recently emphasized the need to explore the variation across registers, genres and domains in corpus-based contrastive and translation studies. Johansson (2007: 304), for example, argues that “it is desirable to extend contrastive studies by taking into account the variation across registers within languages. ” Similarly, Olohan (2004: 191) states that “we need to recognize that a substantial part of translation activity in the world involves non-literary texts. If we are to study the activity of translation and translation process generally, we need to delve deeper into those genres and texts too. This will have the consequence that we will be able to make more cross-genre comparisons and study the extent to which features of translation may be influenced by genre, text type, etc.” However, in contrastive and translation studies based on translation corpora, the emphasis has mainly been on literary genres (such as novels) and relatively few studies have examined crossgenre variation (notable exceptions are Altenberg, 2004/2005; Cosme, 2006; Neumann, 2008; De Sutter et al., 2012). The present paper aims to contribute to this emerging body of corpus-based research and addresses the issue of genre variation in the field of contrastive word-formation. This will be done by examining English and French evaluative prefixation (e.g. En. extra-high, hyperinnovative, mini-victory, outperform) across two genres: talks and parliamentary debates. In fact, such variationist approaches are essential in word-formation studies, as word-formation is highly register-, genreand domain-sensitive. As shown by Plag et al. (1999), for example, the use and productivity of English suffixes greatly vary across speech and writing (see Grabar et al., 2006; Chmielik & Grabar, 2011; Lefer, 2012 for similar findings about French). Evaluative morphology has been extensively discussed in morphological typology (cf. Stump, 1993; Bauer, 1997; Grandi & Montermini, 2005; Körtvélyessy & Stekauer, 2011). Corpus-based contrastive descriptions of evaluative morphology, however, are still sorely lacking for many language pairs (see Andor, 2005), including English and French. Available descriptions of evaluative prefixation, which is the main focus of this paper, show that prefixes can be classified along the following two dimensions (see Wierzbicka, 1991; Grandi, 2002; Fradin & Montermini, 2009; the subcategories are taken from Cartoni, 2008: 287-291):
Chin-spot as an indicator of age in pond bats

Tijdens ecologisch veldonderzoek is het vaak nuttig om de leeftijd van een dier te kunnen bepalen. Bij de watervleermuis (Myotis daubentonii) kan de verkleuring van de kinvlek gebruikt worden om de leeftijd van het individu te bepalen. In dit artikel onderzoeken we in hoeverre de verkleuring van de kinvlek ook toepasbaar is voor leeftijdsbepaling bij meervleermuizen (Myotis dasyneme). We concluderen dat de kleur van de kinvlek een betrouwbaar kenmerk is om de leeftijd van de meervleermuis te bepalen
High quality time-scale modification for speech

We present a new and simple method for speech rate modification that yields high quality rate-modified speech. Earlier algorithms either required a significant amount of computation for good quality output speech or resulted in poor quality rate-modified speech. The algorithm we describe allows arbitrary linear or nonlinear scaling of the time axis. The algorithm operates in the time domain using a modified overlap-and-add (OLA) procedure on the waveform. It requires moderate computation and could be easily implemented in real time on currently available hardware. The algorithm works equally well on single voice speech, multiple-voice speech, and speech in noise. In this paper, we discuss an earlier algorithm for time-scale modification (TSM), and present both objective and informal subjective results for the new and previous TSM methods.
Towards an Efficient Datagram Transport Layer Security for Constrained Applications in Internet of Things

The Internet of Things has profoundly modified the usual vision of protocols, particularly in terms of energy constraints. Low-power sensor networks are now one of the key enablers for the Internet of Things, where sensors will play a significant role in the future internet by collecting the surrounding context and environment information. Security is one of the most challenges in this type of network. The existing solutions proposed to secure communication in wireless networks are not suitable. The contribution of this paper is to reduce the cost of communication of the datagram transport layer security protocol DTLS and to improve the weakness of the cookies exchange in the handshake process against deny of service attacks. The proposed enhanced cryptography protocol is integrated into the constrained application protocol to reduce the cost in terms of messages and size taken by the security layer in each message. The evaluation of the proposed protocol is performed on the Contiki operating system, for the internet of things, and compared with the original version of the DTLS protocol. The results show that the enhanced DTLS protocol offers a good performance in comparison with the original version of the protocol in terms of packet overhead, handshake time duration, and energy consumption.
Verbal communication at a stand-alone computer

The study this article refers to investigates pupilsÂ’ face-to-face verbal communication at a computer in a mathematics lesson. The pupils (14 years) work in single-gender pairs and each pair shares one computer. The study applies a design-based research approach and consists of two phases. The first phase is a descriptive-analytic phase and the second is an intervention phase. The data material is analyzed using several analytic loops and extensive pupil-teacher-researcher collaboration. This article reports on the first phase of the study. The pupils use spreadsheet software and work with the mathematical concepts of circumference and area. Six communication patterns are identified and discussed: 1) the level of verbal activity, 2) progressive utterances, 3) to address, 4) to speak in chorus, 5) mutual language, and 6) humor. The patterns are discussed and exemplified through the use of excerpts from the transcriptions. The study contributes to the field of micro-analytic research which describes verbal communication at stand-alone computers in education. (DIPF/Orig.) Dieser Artikel bezieht sich auf eine Studie zur Untersuchung von verbaler Kommunikation (Face-to-Face) zwischen Schulerinnen und Schulern an einem Computer im Mathematikunterricht. Die 14-jahrigen Schulerinnen und Schuler arbeiten in gleichgeschlechtlichen Zweiergruppen jeweils an einem gemeinsamen Computer. Der Untersuchungsansatz der Studie ist Â„design-basedÂ“ und setzt sich aus zwei Phasen zusammen, einer deskriptiv-analytischen Phase und einer Interventionsphase. Die Daten wurden unter Berucksichtigung mehrerer analytischer Schleifen sowie extensiver Zusammenarbeit von Schulern, Lehrern und Forschern analysiert. In diesem Artikel wird uber die erste Studienphase berichtet. Die Schulerinnen und Schuler verwenden Programme zur Tabellenkalkulation und arbeiten mit mathematischen Konzepten fur Umfange und Flachen. Es werden sechs verschiedene Kommunikationsmuster identifiziert und diskutiert: 1) der Grad verbaler Aktivitat, 2) progressive Auserungen, 3) die Ansprache, 4) im Chor sprechen, 5) wechselseitiges Sprechen und 6) Humor. Die Muster werden auf Grundlage von Auszugen der Transskriptionen diskutiert und veranschaulicht. Die Studie tragt zur mikro-analytischen Forschung bei, welche die verbale Kommunikation an Stand-alone-Computern in Bildungskontexten beschreibt. (DIPF/Orig.)
Approximate Exploring Motion Control for Eye-in-Hand Visual Servoing

This paper proposes a visual servo control method for exploring motion of eye-in-hand robot to recognize a three-dimensional object. Optimal motion is based on the strategy in which the position estimation precision of the feature points gets improved when the feature points move widely, and the optimal robot motion provides the widest transitions of the feature points per unit robot motion, so that the robot should be controlled to purse such motion. In addition, this paper describes the way to reduce a large number of calculation efforts. The validity of our approach is confirmed in the several experimental results.
MZ-Platform: A Component Switching AndExecuting Environment

We have started a national research and development project of a manufacturing technology information infrastructure called MZ-Platform. MZ-Platform is a component-based software development framework, designed to support manufacturing enterprises to enhance digitalized technologies in a selfinnovative way. The major characteristic is that it can switch the running program by changing their components dynamically. It can load JavaBeans components searched by a component mining method, make connections with other active components and execute them. We show some application examples related to design and a manufacturing, such as a CAD (Computer Aided Design)
Open source OCR framework using mobile devices

Mobile phones have evolved from passive one-to-one communication device to powerful handheld computing device. Today most new mobile phones are capable of capturing images, recording video, and browsing internet and do much more. Exciting new social applications are emerging on mobile landscape, like, business card readers, sing detectors and translators. These applications help people quickly gather the information in digital format and interpret them without the need of carrying laptops or tablet PCs. However with all these advancements we find very few open source software available for mobile phones. For instance currently there are many open source OCR engines for desktop platform but, to our knowledge, none are available on mobile platform. Keeping this in perspective we propose a complete text detection and recognition system with speech synthesis ability, using existing desktop technology. In this work we developed a complete OCR framework with subsystems from open source desktop community. This includes a popular open source OCR engine named Tesseract for text detection & recognition and Flite speech synthesis module, for adding text-to-speech ability.
L'Aprovisionament de carn a Barcelona durant els segles XIV i XV

L'objectiu d'aquesta tesi era analitzar tot el proces de comercialitzacio de la carn en una gran ciutat baixmedieval com Barcelona. Per aconseguir aquest objectiu s'ha buidat de manera sistematica tota la documentacio de l'Arxiu Historic de la Ciutat de Barcelona (AHCB). El fet de triar la documentacio d'aquest arxiu de manera preferent es deu a l'important paper que va tenir el Consell de Cent en el mercat de la carn. Al llarg de la recerca s'ha pogut comprovar que els carnissers monopolitzaven tot el proces comercial de la carn, des de la compra del bestiar a les fires i mercats ramaders fins a la venda al detall a la taula. Aquest monopoli del mercat per part dels carnissers fins a finals del segle XV ens ha permes delimitar clarament els dos actors principals en aquest comerc: els carnissers i els consellers de la ciutat. Dos actors amb interessos contraposats o coincidents segons el moment del proces mercantil del qual parlem; aixi, eren coincidents en la defensa dels privilegis de pas i pastura de la ciutat contra els senyors feudals de Catalunya, pero eren absolutament divergents a l'hora de fixar els preus i les imposicions que gravaven la carn, o a l'hora de crear les mesures higieniques que regulaven la venda de carn.
Compressed Sensing for Jointly Sparse Signals

Compressed Sensing for Jointly Sparse Signals Alireza Makhzani Master of Applied Science Graduate Department of Electrical and Computer Engineering University of Toronto 2012 Compressed sensing is an emerging field, which proposes that a small collection of linear projections of a sparse signal contains enough information for perfect reconstruction of the signal. In this thesis, we study the general problem of modeling and reconstructing spatially or temporally correlated sparse signals in a distributed scenario. The correlation among signals provides an additional information, which could be captured by joint sparsity models. After modeling the correlation, we propose two different reconstruction algorithms that are able to successfully exploit this additional information. The first algorithm is a very fast greedy algorithm, which is suitable for large scale problems and can exploit spatial correlation. The second algorithm is based on a thresholding algorithm and can exploit both the temporal and spatial correlation. We also generalize the standard joint sparsity model and propose a new model for capturing the correlation in the sensor networks.
Designing an Anaphora Resolution Algorithm for Route Instructions

ions which are realised as noun phrases are elements of the S-List. The AList only includes eventualities like events, states, processes, facts etc. This is contrary to Byron’s algorithm which stores so-called ‘proxies’ for each sentence and each verb phrase and the RIAR-algorithm which inserts only entities referred to anaphorically into the A-List. Therefore, the A-List is usually empty and a new AList is constructed according to the following rule: if the A-List is empty, create a new A-List by inserting the main verb phrase of the previous unit plus all constituents following this verb phrase. Then, resolve the anaphor to the element in the A-List. The element is removed from the A-List if it is not referred to anaphorically again in the next unit. Contrary to Eckert & Strube’s algorithm which also puts whole sentences and clauses into the A-List, the RIAR-algorithm only inserts the main verb phrases plus further following constituents into the A-List. The utterances in the route instruction domain are shorter and their focus lays on the actions described in most of the units. Thus, discourse deictic anaphors preferentially refer to the main verb phrases. As only a few of the anaphors in the actual data are discourse deictic this assumption needs further investigation. 3.5 Resolution Rules of the RIAR-Algorithm Now after the description of the first steps of the algorithm (constructing a discourse model with specifies discourse entities; defining updating units; generating the properties of the anaphor and finally creating a S-List, an implicit S-List or an A-List depending on the resolution rule in charge), the resolution rules of the RIARalgorithm will be explained (see Appendix 4). Depending on the phenomena observed in the data, there are five different types of resolution rules. The first rule deals with anaphors occurring in complex NPs, the second and third rules are special rules which handle anaphoric reference in the first respectively final sentences. The
THE CONSERVATION OF MARBLE MONUMENTS IN CHURCHES

The processes of deterioration of marble monuments in churches are described together with methods for protecting the monuments from the ambient environment. Methods of cleaning, either in situ or in a laboratory are explained. The use of dowels and resins in repair and reconstruction are dealt with and amplified in a report of work on one monument.
Prevalence of Metabolic Syndrome Risk Factors in Adults in Holguín, Cuba (2004-2013).

ABSTRACT INTRODUCTION High prevalence of metabolic syndrome and its associated risk factors in adults represents both a Cuban and a worldwide public health problem. OBJECTIVE Determine prevalence of metabolic syndrome’s component risk factors in a representative sample of adults in Holguin Province, Cuba. METHODS A cross-sectional study was conducted using multistage probability sampling of four Holguin Province municipalities: Holguin, Gibara, Urbano Noris and Banes. We selected a sample of 2085 patients aged ≥20 years during 2004–2013 and measured clinical, anthropometric and biochemical variables. Risk factor prevalence rates were calculated using EPIDAT 3.1. RESULTS Crude metabolic syndrome prevalence rate was 27.2% (CI 25.3%–29.1%). Crude prevalence rates (with 95% CI) of risk factors were as follows: hypertriglyceridemia 36.1% (34.0%–38.2%); hypercholesterolemia 25.5% (23.6%–27.4%); low HDL cholesterol 26.3% (24.4%–28.2%); high LDL cholesterol 10.1% (8.8%–11.4%); prediabetes 2.2% (1.6%–2.8%); diabetes 14.6% (13.1 %–16.1%); prehypertension 3.5% (2.7%–4.3%); hypertension 34.5% (32.5%–36.5%); overweight 23.4% (21.6%–25.2%); obesity 32.0% (30.0%–34.0%) and central obesity 47.3% (45.2%–49.4%). They were significantly higher in women and older adults. CONCLUSION High prevalence of risk factors associated with metabolic syndrome confirms the magnitude of this health problem, particularly in women and older adults.
Implementation of Intraoperative Neuromonitoring for Transoral Endoscopic Thyroid Surgery: A Preliminary Report.

BACKGROUND Transoral endoscopic approach is the natural orifice surgery applied in thyroidectomy to achieve an excellent cosmetic result. Recurrent laryngeal nerve (RLN) injury is the most common complication and little advancement was achieved in the previous clinical studies of transoral thyroid surgery. Herein, we introduced the method of intraoperative neuromonitoring (IONM) for transoral endoscopic thyroid surgery. MATERIALS AND METHODS Patients with thyroid carcinoma received transoral endoscopic thyroid surgery through vestibular approach (TOETVA) for thyroidectomy and central node dissection (CND). IONM was implemented to identify whether the RLN benefited from oral tracheal intubation. The laryngeal electromyography (EMG) response, operation time, number of CND, drainage volume, hospital duration, surgical complications, and cosmetic results were evaluated. RESULTS From August to October 2015, 10 cases were performed with TOETVA and IONM. All EMG responses were recorded intraoperatively, and no case experienced transient or permanent RLN palsy. The operation time ranged from 130 to 215 minutes in ipsilateral lobectomy with CND, whereas bilateral lobectomy with ipsilateral CND lasted 345 minutes. The number of CNDs ranged from three to eight. The average time of drainage extubation and discharge was 4 days (3-5 days) postoperatively. All patients were satisfied with the cosmetic results, and no infection was observed at lip wound or in the anterior neck region. CONCLUSION IONM system implemented in transoral thyroid surgery was feasible and serviceable in preventing RLN injury. The method of TOETVA shows promise for thyroidectomy with CND due its ideal cosmetic results.
HUEVECILLOS DE ANTHROPOPHTHIRUS CAPITIS 1 EN MOMIAS DE LA TRADICIÓN CHINCHORRO, CAMARONES 15-D, NORTE DE CHILE HEAD LICE EGGS, ANTHROPOPHTHIRUS CAPITIS, FROM MUMMIES OF THE CHINCHORRO TRADITION, CAMARONES 15-D, NORTHERN CHILE

Muestras de cabello de siete momias del sitio Camarones 15-D, Chile, fechadas por radiocarbono alrededor de 2.000 a.C. fueron examinadas para verificar la presencia de piojos. En seis muestras de cabello se encontro huevos del piojo Anthropophthirus capitis. Se obtuvo un total de 460 huevos de los que 108 (30,7%) estaban operculados, tratandose de huevos que no habian sido eclosionados antes que el huesped muriera. En una muestra de cabello, se aislaron 98 huevos operculados y 265 no operculados. Palabras claves: piojos de cabeza, Anthropophthirus capitis, huevos de piojos, momias, tradicion Chinchorro, norte de Chile. Hair samples from seven mummies from Camarones 15-D site, Chile, carbon-dated to ca. 2,000 B.C. were examined for the presence of head lice. In six hair samples eggs of the head louse (Anthropophthirus capitis) were found. A total of 460 eggs were isolated of which 108 (30.7%) were operculated, meaning that they were freshly laid eggs, which had not hatched before the host died. In one hair sample, 98 operculated and 265 non-operculated eggs were isolated. No nymphal or adult stages of the head louse could be found in the examined material.
STEREO VISION-BASED LANE DETECTION AND TRACKING FOR INTELLIGENT VEHICLES

Lane detection is one of the key issues for intelligent vehicles. In this paper, we present a lane detection approach designed to navigate an autonomous vehicle through challenging traffic scenes based on stereo vision. In the method, both intensity and geometry cues of the road scenes are utilized and integrated for detecting and tracking the targets based on Hidden Markov Models to deal with challenging conditions and situations. It can capture both painted and physical lane boundaries. Furthermore, the geometry relationships between the stereo camera in the moving vehicle and the road are dynamically estimated and calibrated. Therefore, more accuracy and robustness can be expected in the proposed system. Experimental results in various real challenging traffic scenes show the effectiveness of the proposed system.
Topical Host Reputation for Lightweight Url Classification

Classification of urls into topical categories is an important task of data minining and information filtering. In many applications the task needs to be performed with minimal information, which usually means just the url itself. While for some topics using the url information is surprisingly effective, there is still a substantial loss in accuracy when compared to basing the classification on full web page content. In this work we stipulate that the basic url-based approach can be significantly improved by taking the web-graph information into account, and in particular by precomputing the topical likelihood for the known hosts. While graph mining is computationally intensive, it is performed off-line and the url classification process simply consumes its results, which comes down to a simple table lookup operation. We demonstrate that the proposed approach not only greatly improves on using url-strings as sources of features but also outperforms techniques utilizing full html content. While the set of categories considered in our experiments is not exhaustive, the results are highly encouraging and the proposed approach could be potentially beneficial in a variety of different topic settings.
Constructing Recognition of the Others State of Surrendering - A Grounded Theory

Objective: The intraoperative setting is a complex environment, where nurse anaesthetists’ are required to handle an intense flow of information. Apart from intraoperative time constraints and pressure to perform, little is known about nurse anesthetists’ concerns prior to administering anaesthesia. Therefore, the aim of this study is to answer the key questions; what are nurse anaesthetists’ main concerns prior to and during anaesthesia induction and how do they cope with them? Methods: Constructivist grounded theory was used to illuminate the context and specific conditions under which the informants performed anaesthesia nursing. Fifteen nurse anaesthetists were interviewed using an open-ended method. Results: The common denominator for the informants was their active efforts to construct grounds for recognition of the other’s state of surrendering associated with anaesthesia induction. The core category; constructing recognition of the Other’s state of surrendering, is supported by three main categories; Creating a trusting relationship, Working with the technology and Establishing recognition. Conclusion: The act of recognition highlights the healthcare organisation’s obligation to provide sufficient time for the ethical practice of anaesthesia, which presupposes awareness on the part of anaesthesia staff of their own professional approach.