Miracle-dz/UniFAR-FTUs huggingface dataset:
De la automatización de la traducción y los lenguajes especializados. Apuntes

espanolLos rapidos avances en la tecnologizacion de la actividad traductora a partir del desarrollo de herramientas TAO, de la traduccion automatica (TA) y de la inteligencia artificial (IA) son cada dia mas comunes. Estos elementos estan, sin duda, propiciando una redefinicion del concepto tradicional de “traduccion” y del papel(es) del traductor. Y son, precisamente, los lenguajes especializados los que sirven de plataforma de ensayo en su desarrollo imparable. Detras de todo ello participan traductores, linguistas, ingenieros, terminologos, disenadores de paginas web, programadores entre otros. Una lista interminable de profesionales cuyos limites de su actividad no estan ya claros. Surgen asi nuevos perfiles o adaptaciones de los ya existentes para cubrir las nuevas exigencias y necesidades de mercado. El objetivo de este articulo es analizar algunos de estos nuevos retos y sus consecuencias a partir de estudios sobre la formacion de traductores, informes de expertos sobre el desarrollo de la TA y resultados de estudios de mercado. EnglishTechnology and translation are closely linked through the rapid development of CAT tools, machine translation (MT) and artificial intelligence (AI). These elements are undoubtedly leading to a redefinition of the traditional concept of "translation" and of the translator's role(s). Specialized languages are essential in this development as they that are the testing platform in its overwhelming expansion. Behind this process, there are translators, linguists, engineers, terminologists, web designers, programmers and so on. An endless list of professionals whose limits of their activity are no longer clear. Thus, new profiles or adaptations of the existing ones arise to cover the new demands and market needs. The aim of this article is to analyze some of these new challenges and their consequences on the basis of studies on the training of translators, expert reports on the development of MT and the results of market studies.
Wearable IoT Devices for Health Monitoring

Advances in wearable electronics pave the way for a new class of devices that combine sensing, processing, and communication. These devices enable a wide range of applications including health monitoring, activity tracking, and human-computer interaction. However, three key challenges prevent the widespread use of wearable devices. First, users stop using these devices quickly due to frequent charging requirements. Second, existing wearable devices are bulky and uncomfortable since they are designed using rigid materials. Third, the value of wearable devices has not been demonstrated yet by high-impact applications. This paper presents a set of potential solutions to these three challenges. More specifically, we start with a runtime optimization technique that can enable recharge-free operation. Then, we discuss the design of physically flexible and stretchable devices, which are comfortable to wear. Finally, we review high-impact wearable applications ranging from health monitoring to human-computer interaction.
The influence of speaking style on lexical F0 profiles in French

This study presents a comparison of French lexical fundamental frequency (f0) profiles for different speaking styles using phonemic, syllabic and lexical transcriptions as well as part-of-speech annotations. Three speaking styles (broadcast news, broadcast conferences and conversations) with over 20 hours of speech were used. Syllabic word length and POS were considered as influential factors. Results confirm word final syllable accentuation as common tendency in French. The study highlights noun word-initial accentuation after determiner for BN style speech. Journalistic prepared speech features lexical words with more dynamic f0 profiles on average versus more stable flat profiles for our spontaneous data. Future works include localization of named-entity and/or focus of speech within the framework of discriminative classifiers.
Comparing the Efficacy of Virtual Simulation to Traditional Classroom Role-Play

Emulating realistic school environments and practicing difficult conversations between collaborating teachers are necessary for teacher candidates to prepare for potentially challenging workplace realities. In an effort to determine best practices for doing so in university classroom settings, a study was conducted comparing role-play with mixed-reality simulation in preservice courses. Half of the participants interacted in role-play; the other half interacted with an avatar in a mixed-reality simulation in a case study with a reluctant coteacher. Participants completed pre- and postsurveys aimed at measuring their opinion of the value of having a coteacher and indicate their perception of usefulness and realism of role-play and mixed-reality. Findings indicate that participants found mixed-reality sessions significantly more realistic and a more useful practice tool when compared with role-play participants. These findings demonstrate promise for continued use of mixed-reality simulation and invites conversation about simulation targeting practice of concepts difficult to replicate in university classrooms. Additional significant findings indicate that participants realized greater value of coteaching partners in the simulated environment. Findings are encouraging because coteaching is commonly used to assist with including students with special needs in general education classrooms; preservice programs must effectively teach communication methods to students in preparation for their future careers.
A Cascade Air Sampler with Multi-nozzle Inertial Filters for PM0.1

ABSTRACT We applied a 3-nozzle geometry to the inertial filter unit of a previously developed cascade air sampler, which originally consisted of a 4-stage (PM10/2.5/1/0.5) impactor, and an inertial filter unit embedded in a single circular nozzle (for PM0.1), and compared its performance against that of a single-nozzle inertial filter unit. The multi-nozzle design enabled the collection of multiple samples and the analysis of multi-chemical particle components in the size range of 0.1–0.5 µm. The total carbon was analyzed to determine the uniformity of the PM0.1 collected on a filter downstream from the inertial filter unit in both samplers, and the differences between the individual nozzles of the 3-nozzle unit as well as those between the 1- and 3-nozzle units were identified based on the chemical composition. After adjusting the quantity of the fibers in each inertial filter (one per nozzle) of the 3-nozzle sampler with care on the fiber packing uniformity , the 3-nozzle and 1-nozzle units exhibited similar separation performance, with approximately a 5% lower pressure drop for the former. The differences in the collected particle mass and the total carbon between the individual nozzles of the multi-nozzle unit and between the single- and multi-nozzle units were found to be less than 10%. However, the 3-nozzle unit uniformly collected particles regardless of the loaded particle mass, whereas its 1-nozzle counterpart exhibited non-uniform collection with higher loads. These data, together with the lower pressure drop, show that the multi-nozzle design has practical applicability, thus opening possibilities for chemically analyzing PM0.1.
A NEW MODEL FOR IMPROVING USER-PRODUCT INTERACTION EVALUATION, BASED ON AFFORDANCE AND FACTOR ANALYSIS

Interaction Design has different definitions in different areas. Generally, it is the creation of physical and emotional dialogues between a person and a product, system, or service that can be experienced during the action and reaction between form, function, and new technology. User-product interaction describes the behavioral relationships between user and product, which are analyzed to understand the tangible actions and apply that knowledge to product design applications, including the design of the symbols that help the user understand the product’s intended use. In any kind of interaction, affordances (characteristics of a product that help users perform tasks) play an important role. Proper evaluation of the role of affordances in these interactions can result in better-designed objects and consequently better user-product interactions. Current methods of evaluation in the user-product interaction design process have not been fully explored, and new, more scientific approaches are needed. In this study we focused on a statistic evaluation model of the behavioral relationship between user and product. By studying theoretically reviewed, multi-disciplinary papers and projects dealing with affordance and related fields, we summarized and systematically explained how to evaluate user-product interactions by analyzing the affordances, which are generally focused on cognitive, physical and functional information. This paper proposes a new analytics-based, user-product interaction evaluation (UPIE) model which can provide product designers with more informative and reliable interaction data, and ultimately help them redesign and improve user-product interaction.
Sensitivity of Deinococcus grandis rodZ deletion mutant to calcium ions results in enhanced spheroplast size

RodZ is a cytoskeletal protein associated with bacterial cell shape. It is a transmembrane protein located on the plasma membrane, and it binds to another cytoskeletal protein MreB. Deinococcus grandis contains a rodZ homolog. Although D. grandis is rod-shaped, it becomes spherical in shape when the rodZ homolog is disrupted. The rodZ deletion mutant was treated with lysozyme to generate spheroplasts. The spheroplasts enlarged in medium containing calcium chloride and penicillin. The rodZ deletion mutant spheroplasts were more sensitive to calcium ions than wild type. Cell and cytoplasm sizes of enlarged spheroplasts of the rodZ deletion mutant tended to be larger than those of wild type. Thus, disruption of rodZ enhances plasma and outer membrane expansion in D. grandis spheroplasts.
WRITING TUTORING IN HIGHER EDUCATION: AN EXPLORATORY STUDY ON THE EFFECTIVENESS OF DIRECTIVE AND NONDIRECTIVE TUTORING

4 Introduction 5 Writing Development and the Role of the SLP 5 Writing Tutoring 8 Relation between Outcome Measures and Grades 13 Research Context and Questions 15 Methods 18 Participants 18 Writing Task 19 Tutoring Conditions 20 Tutor Training 21 Coding and Measures 23 Results 26 Reliability 26 Measures 27 Microstructure Errors 28 Paragraph Errors 28 Overall Rating 30 Grades 30 Final grades and Microstructure Error Difference 31 Final-grade and Internal Paragraph Structure Error Difference 32 Grades and Overall Rating 30 Areas Targeted by Tutors and Students 34 Discussion 35 Effectiveness of Tutoring 35 Reliability 37 Relation Between Measures and Grades 38 Conclusion 40 References 42 LIST OF FIGURES/TABLES Table 1. Descriptive Characteristics of Participants 19 Table 2. Protocols for Expert-directed (ED) and Student-directed (SD) Tutoring 21 Table 3. Description of Microstructure Errors 24 Table 4. Description of Internal Paragraph Structure Errors 24 Table 5. Description of Overall Rating on Likert Scale 25 Table 6. Interrater Reliability 26 Figure 1. Average Microstructure Errors 28 Figure 2. Average Internal Paragraph Structure Errors 29 Figure 3. Average Overall Rating 30 Figure 4. Average Instructor Assigned Grades 31 Figure 5. Final Grade and Microstructure Error Difference 32 Figure 6. Final Grade and Internal Paragraph Structure Error Difference 33 Figure 7. Z-Scores: Grades and Overall Rating 34
Measurement Matrixes in Compressed Sensing Theory

Compressed Sensing(CS) is a novel signal sampling theory under the condition that the signal is sparse or compressible.It has the ability to compress a signal during the process of sampling.In the process of compressed sensing,measurement matrix plays a crucial role in sampling the data and reconstructing the signal.It is the most important part in the compressed sensing area.The relationship between the structure of the measurement matrix and the performance of the compressed sensing was discussed,the RIP condition that the measurement matrix required to meet described,the existing measurement matrix construction methods reviewed,and the new methods and the characteristics of each different matrix summarized.Finally,the prospective research on the measurement matrixes was presented.
Sensing properties of SnO2-MWCNTs nanocomposites towards H2

Abstract Nanostructures tin (IV) oxides have been synthesized by chemical vapor deposition (CVD) and sol-gel methods and their composites incorporated with multi-wall carbon nanotubes have also been obtained. The characterization of oxidized carbon nanotubes (CNTs) by Raman spectroscopy revealed more defects in CNTs with larger diameters. The tin (IV) oxide nanostructures have been investigated by X-ray diffraction methods, electron spectroscopy and Ramani spectroscopy and results have been showed that SnO2, synthesized by CVD method, characterized by more crystalline structure comparatively to the tin (IV) oxide sample, obtained by sol-gel technology. Sensitivity measurements of SnO2, CNTs and SnO2/CNTs samples towards hydrogen have been carried out. It was found that synthesis method affects not only on physical properties of tin (IV) oxide, but also on the sensing properties. In the case of CNTs samples sensitivity significantly depends on the diameter of carbon nanotubes and oxidation conditions imperceptibly influence on CNTs’ sensing respond. The addition of carbon nanotubes has an ambiguous effect on the sensitivity and the sensing respond strongly depends on CNTs content in the composites.
Toxicological profile for synthetic vitreous fibers

DISCLAIMER The use of company or product name(s) is for identification only and does not imply endorsement by the Agency for Toxic Substances and Disease Registry. September 2002. This edition supersedes any previously released draft or final profile. Toxicological profiles are revised and republished as necessary. For information regarding the update status of previously released profiles, contact ATSDR at: Toxicological Profiles are a unique compilation of toxicological information on a given hazardous substance. Each profile reflects a comprehensive and extensive evaluation, summary, and interpretation of available toxicologic and epidemiologic information on a substance. Health care providers treating patients potentially exposed to hazardous substances will find the following information helpful for fast answers to often-asked questions. Chapter 1: Public Health Statement: The Public Health Statement can be a useful tool for educating patients about possible exposure to a hazardous substance. It explains a substance's relevant toxicologic properties in a nontechnical, question-and-answer format, and it includes a review of the general health effects observed following exposure. Chapter 3: Health Effects: Specific health effects of a given hazardous compound are reported by type of health effect (death, systemic, immunologic, reproductive), by route of exposure, and by length of exposure (acute, intermediate, and chronic). In addition, both human and animal studies are reported in this section. NOTE: Not all health effects reported in this section are necessarily observed in the clinical setting. Please refer to the Public Health Statement to identify general health effects observed following exposure. The following additional material can be ordered through the ATSDR Information Center: Case Studies in Environmental Medicine: Taking an Exposure History—The importance of taking an exposure history and how to conduct one are described, and an example of a thorough exposure history is provided. Other case studies of interest include Reproductive and Developmental Hazards; Skin Lesions viii SYNTHETIC VITREOUS FIBERS and Environmental Exposures; Cholinesterase-Inhibiting Pesticide Toxicity; and numerous chemical-specific case studies. Managing Hazardous Materials Incidents is a three-volume set of recommendations for on-scene (prehospital) and hospital medical management of patients exposed during a hazardous materials incident. Volumes I and II are planning guides to assist first responders and hospital emergency department personnel in planning for incidents that involve hazardous materials. Volume III—Medical Management Guidelines for Acute Chemical Exposures—is a guide for health care professionals treating patients exposed to hazardous materials. Fact Sheets (ToxFAQs) provide answers to frequently asked questions about toxic substances. Other Agencies and Organizations The …
Depth Camera in Computer Vision and Computer Graphics: An Overview

An increasing number of applications depend on accurate and fast 3D scene analysis,such as geometry reconstruction,collision prevention,mixed reality,and gesture recognition.The acquisition of a range map by image- based analysis or laser scan techniques is still time-consuming and expensive.Emerged as an alternative device to measure distance,depth camera enjoys some advances,e.g.,lower price and higher photo speed,that have not be made in traditional 3D measuring systems.Recently,significant improvements have been made in order to achieve low-cost and compact depth camera devices that have the potential to revolutionize many fields of research,including computer vision,computer graphics and human computer interaction (HCI). These technologies are also starting to attract many researchers working for academic or commercial purposes.This paper gives an overview of recent developments in depth camera technology and discusses the current state of the integration of this technology into various related applications in computer vision and computer graphics.
Cell Cycle Arrest Activity of Alkaloid Fraction of Litsea cubeba Lour. Heartwoods Towards HeLa Cancer Cell

: Cervical cancer therapy with chemotherapeutic agents is limited because of drug resistance problem and toxic effect on normal tissue leads to immunosuppression and cardiotoxicity. This study was to investigated cell cycle arrest activity towards HeLa cell lines of Litsea cubeba Lour. heartwood alkaloid fraction. Litsea cubeba Lour. heartwood powder was extracted by maceration method with ethanol 96% and fractionated with n-hexane and chloroform at pH 3,7 and 9. The cytotoxic study was using MTT method and analysis cell cycle was using flow cytometry method. The IC50 of ethanol extract, n-hexane and chloroform fractions at pH 3,7 and 9 at were 156.24 ± 2.96; 67.23 ± 0.63; 175.92 ± 2.40; 52.46 ± 0.34; and 94.81 ± 2.16 µg/mL respectively. The chloroform fractions at pH 7 concentration 25 and 10 µg/mL were caused accumulation in G2-M phase (33.84 and 29.08%). The results reveal that Litsea cubeba Lour. heartwood alkaloid fraction provides effective as cell cycle arrest. Our further study is to assess the mechanism of alkaloid fraction in inhibit metastasis in cervical cancer.
Optimization of Extraction Parameters for Antioxidant and Total Phenolic Content of Ficus carica L. Latex from White Genoa Cultivar

In this study, the extraction parameters for antioxidant activity and total phenolic content of Ficus carica L. latex from White Genoa cultivar were optimized using response surface methodology (RSM). Effect of temperature, extraction time and solvent concentration for maceration extraction were investigated. The antioxidant activity was determined with DPPH (1,1-diphenyl-2-picrylhydrazyl) assay and expressed as percent of inhibition. Total phenolic content (TPC) was determined with Folin-Ciocalteu assay and expressed as μg GAE/mL. The optimum points that maximize the DPPH inhibition are 32 °C temperature, 31.50 min extraction time and 65 % ethanol. The optimum points for TPC are 32 °C temperature, 37.50 min extraction time and 70 % ethanol. The predicted DPPH inhibition and TPC at these predicted points are 67.08 % and 313.811 μg GAE/mL respectively. In this model, the F value (26.03 and 20.96), R-Squared value (0.9591 and 0.9497) and signal to noise ratio (13.431 and 12.799) are reasonable to fit the model.
Techniques for the Analysis of Modern Web Page Traffic using Anonymized TCP/IP Headers

Sean M. Sanders: Techniques for the Analysis of Modern Web Page Traffic Using Anonymized TCP/IP Headers (Under the direction of Jasleen Kaur) Analysis of traces of network traffic is a methodology that has been widely adopted for studying the Web for several decades. However, due to recent privacy legislation and increasing adoption of traffic encryption, often only anonymized TCP/IP headers are accessible in traffic traces. For traffic traces to remain useful for analysis, techniques must be developed to glean insight using this limited header information. This dissertation evaluates approaches for classifying individual web page downloads — referred to as web page classification — when only anonymized TCP/IP headers are available. The context in which web page classification is defined and evaluated in this dissertation is different from prior traffic classification methods in three ways. First, the impact of diversity in client platforms (browsers, operating systems, device type, and vantage point) on network traffic is explicitly considered. Second, the challenge of overlapping traffic from multiple web pages is explicitly considered and demultiplexing approaches are evaluated (web page segmentation). And lastly, unlike prior work on traffic classification, four orthogonal labeling schemes are considered (genre-based, device-based, navigation-based, and video streaming-based) — these are of value in several web-related applications, including privacy analysis, user behavior modeling, traffic forecasting, and potentially behavioral ad-targeting. We conduct evaluations using large collections of both synthetically generated data, as well as browsing data from real users. Our analysis shows that the client platform choice has a statistically significant impact on web traffic. It also shows that change point detection methods, a new class of segmentation approach, outperform existing idle time-based methods. Overall, this work establishes that web page classification performance can be improved by: (i) incorporating client platform differences in the feature selection and training methodology, and (ii) utilizing better performing web page segmentation approaches. This research increases the overall awareness on the challenges associated with the analysis of modern web traffic. It shows and advocates for considering real-world factors, such as client platform diversity and overlapping traffic from multiple streams, when developing and evaluating traffic analysis techniques.
The Role of Flow in Dissemination of Recommendations for Hedonic Products in User-Generated Review Websites

ABSTRACT The widely publicized impact of user-generated review (UGR) sites on sales has spawned a large number of studies on user behaviors on UGR sites. These existing studies center on conversions of visitors into paying customers, and the creation and dissemination of online reviews. UGR site visitors will consider emotional cues in reviews more seriously if the product offered is more enjoyment-based, hedonic, than utilitarian. This study examines the impact of user enjoyment, when reading reviews on hedonic products, on dissemination of those reviews with their personal social circles. Specifically, to examine user enjoyment on UGR sites, we apply the concept of flow – enjoyable experiences that are intense and enticing enough to convert visitors to endorsers. We conducted two online surveys to contrast our suggested flow-based explanation on dissemination against alternative rationality-based one. The findings from our surveys show that the flow state increases their intentions to recommend the establishments, while the objectivity of reviews and expertise of reviewers are limited in explaining such.