Miracle-dz/UniFAR-FTUs huggingface dataset:
The role of frequency in the acquisition of structured variation: The case of Basque ergativity

Aims and objectives: This study examines the extent to which new speakers use the Basque ergative case marking (–k) in the nominal inflection. I specifically ask whether frequency-based factors (language use and lexical frequency) play a role in its use by also considering speakers’ self-claimed Basque identities. Design/methodology/approach: The spontaneous speech of 39 Basque–Spanish bilinguals was collected by means of sociolinguistic interviews. Participants were self-stratified according to categories of Basque speakerhood (euskaldunberri “new speaker”; euskaldun “Basque speaker”; euskaldunzahar “native speaker”). We also considered their proficiency, language use, and sex. Data and analysis: In total, 2,755 tokens were extracted for the presence/absence of ergative –k and coded for the following four linguistic factors: verb type, animacy person and number, phonological context, and type of NP. Lexical frequency was operationalized in terms of overall token frequency of lexical verb. Data were analyzed using mixed-effects models in R. Findings and conclusions: Results indicate that despite higher incidence of ergative omissions among new speakers, they show (1) consistent mastery of core internal constraints (verb type, phonological context) and (2) gradual structuring based on lexical frequency effects. These omissions occur in pragmatically structured conditions (topic shift, emphasis, and introducing self in narrative) alongside extensions of –k to unaccusative contexts (focus and topicalization). No independent effects of language use were found. Originality: This study is the first to examine of Basque ergativity among adult Basque speakers, taking also into account discourse factors, lexical frequency, and speakers’ social identities and proficiencies. Significance and implications: First, the mediating effects of lexical frequency are indicative that that sociolinguistic variation is acquired in a piece-meal fashion and that such patterns emerge from discourse as they are used in context. Second, it is argued that the new speakers’ kind of social practices hold key in explaining the reallocation of linguistic constraints in their variable production.
Exploring the possibility of calibrating a whole-building model from the short-term monitoring of selected reference rooms

Accurate simulation models of existing buildings provide a reliable picture of building and system behaviour, useful for diagnostic purposes, for designing retrofit interventions or improving the control strategies. Reliable building models can be obtained through monitoring and calibration, aiming at minimizing the discrepancy between predicted and actual performance by fine-tuning the values of the simulation parameters. Analytical calibration methods may become a complex and time expensive process, especially when a large number of parameters has to be estimated as in the case of the largest buildings. In addition, overfitting issues can undermine the reliability of the calibration process. This work explores the possibility of carrying out a model calibration based on low-cost and short-term measurements in order to avoid overfitting issues. In particular, the proposed approach is based on the selection of representative spaces in the buildings, and the identification of multiple monitoring periods during which only a subset of building parameters needs to be calibrated at a time. This calibration approach is extended to the entire building in a multi-stage and multi-level approach.
Deep Generative Networks Coupled With Evidential Reasoning for Dynamic User Preferences Using Short Texts

Seeking an efficient solution for the problem of dynamic user preferences on social networks is challenging because the input data are short texts and user preferences usually change over time. This work proposes a novel framework that tackles these challenges based on deep neural networks and the Dempster-Shafer theory of evidence. The framework consists of three primary phases: (1) learning the hidden space of user texts; (2) word generation and mass inference; and (3) mass combination and keyword extraction. In the first phase, user texts are grouped into small batches according to timestamps. Each batch is used for separately training two types of neural networks, the Variational Autoencoder (VAE) and the Generative Adversarial Network (GAN). In the second phase, the generators in the trained VAE and GAN work independently as two experts to generate bunches of tokens for modeling user preferences. Each bunch is considered as one piece of evidence, and is transformed into the so-called mass function in Dempster-Shafer theory by maximum a posterior estimation. In the final phase, Dempster's rule of combination is utilized for fusing the two independent pieces of evidence into an overall mass. This mass is used for extracting top keywords to form the user preferences within a specific time span. The experiments on short text datasets verified that the proposed method outperforms baseline models on many evaluation metrics. Additionally, the output of the proposed framework could be used for visualization, which is useful in many practical applications.
Data-driven estimation of parametric uncertainty of reduced order RC models for building climate control

Current model predictive control (MPC) applications for residential space heating typically rely upon accurate building models, obtained via extensive data acquisition and/or experts’ knowledge. However, in the context of older residential buildings, one needs to rely upon sparse, publicly available data. Therefore, the aim of this paper is to come up with an estimate of the parametric uncertainty of building controller models in case neither detailed information about the building thermal properties nor experts’ knowledge is available. In addition, the impact of this uncertainty on the optimal space heating strategy is investigated. The results show that the considered approach gives rise to rather large parametric uncertainty. The obtained variation in model parameters is shown to markedly aﬀect the optimal space heating control, both in terms of dynamic effects (i.e., peak demand and timing) and yearly energy use, thereby indicating the need for improved data acquisition and/or dedicated control strategies that operate robustly under uncertainty.
UT Austin Villa 2011: 3D Simulation Team Report

Abstract : The RoboCup 3D simulation league is an international competition in whichautonomous simulated humanoid robots play soccer against each other in aphysically realistic environment. This report presents the architecture, designdecisions, and components of the UT Austin Villa 2011 RoboCup 3D simulationleague team. Key components include an omnidirectional walk engine and associatedwalk parameter optimization framework, an inverse kinematics basedkicking architecture, and a dynamic role and formation positioning system. UTAustin Villa won the RoboCup 2011 3D simulation competition, consisting of22 teams from 12 different countries, in convincing fashion by winning all 24games it played. During the course of the competition the team scored 136 goalswhile conceding none.
The Language of Lighting: Applying Semiotics in the Evaluation of Lighting Design

ABSTRACT Architectural lighting provides optimum visibility for tasks but illuminations convey meanings as well. Though many studies analyze technical dimensions of lighting, research on the meaning is rare. Therefore, this article discusses semiotics as a methodology for lighting design within the design process and critically reflects the appearance of light and architecture. The semiotic discourse starts with terminology and presents models of architectural signs. The history of architectural semiotics serves as a background for the transfer to lighting and leads to an understanding of recent debates. The relevance of semiotics for lighting design is shown in three aspects: Firstly, the influence on the lighting design process; secondly, how physical characteristics of light intensity, distribution, and spectrum are interpreted as signs; and, thirdly, the evaluation of different lighting design tasks like daylight, lamp and luminaire design, interior and exterior lighting, as well as media façades. A critique of architectural and lighting semiotics reveals the methodological limitations of the linguistic concept. It can be concluded that semiotics provides a useful instrument to identify the meaning, which helps to improve the quality of lighting design. The semiotic matrix offers a differentiated view of relationships based on the aspects of sign, object, and interpretant with relation to light characteristics, illuminated buildings, and architectural lighting in general.
How Web2 enhance knowledge construction in civil engineering

At Graz University of Technology (TU Graz) lots of experience using multimedia or internet based applications in higher education has been gathered. Especially in the field of civil engineering we can refer to a seven year long practical employment. During the very first e-Learning boom at universities in Austria in 2001 some projects in the field of civil engineering have been started in order to investigate the possibilities of web-based education. Nowadays a radical change of the Web, often called Web 2.0, offers possibilities, which can change the e-Education dramatically. The use of Wikis and Weblogs lead to a more collaborative teaching and learning process. Podcasts, in the same way as web based software helps to support the learner of today in a much more efficient way as in the years before. This paper will discuss how modern technologies can be used in the field of Civil Engineering Education and will show a lot of practical examples of today’s effort in this field at TU Graz. The authors conclude that e-Education will play a very important role in the future of higher education. Bearing in mind that learners of today are the working society of tomorrow this change leads to arbitrarily new situations. Has industry to prepare for a new kind of generation?
Spectral functions of the half-filled one-dimensional Hubbard chain within the exchange-correlation potential formalism

The spectral functions of the one-band half-ﬁlled 1D Hubbard chain are calculated using the exchange-correlation potential formalism developed recently. The exchange-correlation potential is adopted from the exact potential derived from the Hubbard dimer. Within an approximation in which the full Green function is replaced by a non-interacting one, the spectral functions can be calculated analytically. Despite the simplicity of the approximation, the resulting spectra are in favorable agreement with the more accurate results obtained from the dynamic density-matrix renormalization group method. In particular, the calculated band gap as a function of U is in close agreement with the exact gap obtained from the Bethe ansatz. In addition, the formal general solution to the equation of motion of the Green function is presented and the diﬀerence between the traditional self-energy approach and the exchange-correlation potential formalism is also discussed and elaborated. A simpliﬁed Holstein Hamiltonian is considered to further illustrate the general form of the exchange-correlation potential.
Powder Bed Fusion 3d Printing and Performance of Stainless Steel Bipolar Plate with Rectangular Micro Channels and Ribs

For the high performance of a fuel cell where a bipolar plate (BP) is applied, rectangular channel, microchannel width, micro-rib, enough channel quantity, adequate channel depth, and innovative flow field design should be realized from a configuration standpoint. In this study, a stainless-steel BP with a microchannel flow field is fabricated with a powder bed fusion (PBF) 3D printer to improve fuel cell performance. A BP with a triple serpentine flow field, rectangular channel, 300 μm channel width, 300 μm rib, and 500 μm channel depth is designed. The print is completed perfectly until the flow field. The bending phenomenon due to thermal deformation does not occur in the BP fabricated by designing the thickness at 2 mm. Performance tests are conducted using fabricated stainless-steel BPs. The current density value is 1.2052 A/cm2 at 0.6 V. This value is higher by 52.8% than the BP with 940 μm channels (rectangle, 940 μm ribs, and 500 μm channel depth). In addition, the value is higher by 24.9% than a graphite BP with 940 μm channels (rectangle, 940 μm ribs, and 1000 μm channel depth). The current density values are measured at 0.6 V for 260 h.
CogMod: Simulating Human Information Processing Limitation While Driving

We develop a human driver behavior model (CogMod) based on two complementary cognitive architectures; Queueing Network-Model Human Processor (QN-MHP) and Adaptive Control of Thought - Rational (ACT-R), to represent human cognition while driving. The proposed model can integrate different task-specific analytical driver models under a similar cognitive procedure. The model can simulate variable cognitive processing ability, resulting in different stopping distances in a scenario where the front vehicle brakes sharply when it enters a trigger distance. We evaluate the model based on the distribution of stopping distance with varying cognitive processing time. This approach is useful for modeling non-ego vehicles in scenario-based testing of automated vehicles (AVs).
Modeling of VOC removal in a commercial airplane hangar by multiple exhaust hoods

Ventilation is a major means to remove volatile organic compounds (VOCs). Currently both an upside-supply and floor-exhaust (UF) system and an upside-supply and downside-exhaust (UD) system are used in airplane painting hangars. However, these two conventional systems have low ventilation efficiency. To improve the VOC removal efficiency, this study proposed a novel upside-supply and multiple air-exhaust (UM) system. The new system delivers conditioned air through ceiling inlets, as do the UF and UD systems, but it uses multiple portable exhaust hoods to extract VOCs. The VOC emission sources move with the painting locations; in response, the exhaust hoods are also moved so that they are adjacent to the sources. The ventilation performance of the proposed UM system, and that of the UF and UD systems, was modeled with computational fluid dynamics (CFD). In addition, the UM system was measured on site after putting it into engineering application. The results revealed that the flow pattern of the UM system is similar to that of the push-pull ventilation, and the VOCs are efficiently exhausted. The VOC concentrations in the occupied zone are significantly reduced as compared with the conventional UF and UD systems.
Structural lineament mapping of Central-Eastern high atlas, Morocco, using ASAR/Envisat and SAR/sentinel 1B data

Abstract The Central-Eastern part of the High Atlas is dominated by carbonate of Mesozoic age which is affected by the Alpine Orogeny. The deformation manifest in area by different geological structures. The analysis of these later lead to their classification in different category for understanding the geodynamic of the area. This study focuses to map structural lineaments in the Central-Eastern High Atlas using two types of Radar data: Synthetic Aperture Radar (SAR)/Sentinel 1B with polarization (VV + VH) and Advanced Synthetic Aperture Radar (ASAR)/Envisat with polarization (VV + HH). This research aims to demonstrate the utility of Radar data for extracting structural lineaments in carbonate deposits. In this work, two techniques of processing data are used: First, the automatic extraction technique, we are employing the Algorithm Line Module of PCI Geomatica program, after the enhancement of images by applying the mean Co-occurrence filter. Second, the manual extraction technique, it was accomplished by applying directional filters with four directions (N00°, N45°, N90° and N135°) in order to highlight linear structures, then trace the detected lineaments. The synthetic maps of structural lineaments are developed by the two techniques. They are validated by using the lithologic maps extracted from Landsat Operational Land Imager (OLI), the previous researches in the study area, shaded relief extracted from ASTER Global Digital Elevation Model (GDEM), and field investigation data. The results present a good correlation between the direction of structural lineaments extracted from the satellite images and the field measurements. Therefore, the directions of lineaments extracted are N-S and E-W, NE-SW and NW-SE, especially the abundance of the direction N-S. This last one is perpendicular with the major faults. The density of structural lineaments in the study area is controlled particularly by the lithological nature and dynamic evolution, where the concentration is high in the Liassic carbonates. The geostatistical and spatial distribution of the structural lineaments led us to conclude that different tectonic factors are responsible for the distribution of lineaments in the surface of the study area. The comparison of two types of radar data shows that Envisat data is more efficient in the manual extraction than Sentinel 1B data. However, Sentinel 1B data is more efficient in the automatic extraction than Envisat data. This work identifies several families of structural lineaments which can be determined the tectonic phases of the Alpine orogeny affected the intracontinental Atlas basin.
Facebook Marketing All-in-One for Dummies

Reach your customers with the latest Facebook marketing strategiesFacebook Marketing All-in-One For Dummies, 3rd Edition is a detailed resource for businesses, brands, and people who are interested in promoting themselves, their goods, and their services on Facebook. Fully updated to cover new Facebook features, this new Third Edition includes guidance on Graph Search, the updated News Feed design, cover photo rules, advertising changes, updated mobile apps, and more. Examples and case studies illustrate best practices, and the book provides step-by-step guidance on creating a successful Facebook marketing campaign, from setting up a fan page to analyzing results.Facebook is considered the most fully-engaged social media platform for most marketers. With more than a billion users who comment over 3.2 billion times per day, Facebook provides a ready and willing customer base to businesses savvy enough to take advantage. Facebook Marketing All-in-One For Dummies, 3rd Edition walks you through the creation of a customized fan page, and guides you through interacting with fans and building a community around your brand. The book explains Facebook applications and Facebook advertising, and shows you how to make Facebook come alive.Learn how to claim your presence on FacebookBuild pages to engage, retain, and sell to customersDiscover advanced Facebook marketing tacticsFind out why measuring, monitoring, and analyzing are importantCreate and curate engaging content, including photos, video, contests, and more, and watch your fan base grow. Social media marketing is a major force in the success of a business, and Facebook is at the forefront of it all. Facebook Marketing All-in-One For Dummies, 3rd Edition provides the guidance and information you need to get in there and claim your space.
A Unified Boundary Element Approach to Acoustic Waves Interacting with Thin Shell-Like Structures

Understanding the interaction of acoustic waves with thin shell-like structures, such as the housing of a cellular phone, a boombox, or a vacuum cleaner, has become increasingly important in various industries concerning the quality of sound or reduction of noises in these consumer products. Currently available analysis tools are incapable of modeling these type of structures efficiently, due to the nonuniform thinness of the shell structures. Recently, a unified boundary element method (BEM) has been developed to model both the acoustic field and elastic shell-like structures in a coupled analysis. The advantages of the BEM in dealing with infinite domains and very thin structures has been well demonstrated, for example, in Refs. [18]. The recently developed structural acoustics BEM [9, 10] is valid for both radiation and scattering problems of structures in arbitrary shapes and for all wavenumbers. Efficient solution methods have also been investigated for solving the linear system of equations with complex coefficients resulting from the BEM. Numerical studies using several shell-like structures, including those with nonuniform thickness, clearly demonstrate the effectiveness and efficiency of the developed BEM for the coupled analysis.
Performance Assessment of Dual Material Stack Gate Oxide TFET using Dielectric Pocket

This paper investigates the impact of low-K and high-K dielectric pockets on DC characteristics, analog/RF, and linearity performance of dual material stack gate oxide-tunnel ﬁeld-eﬀect transistor (DMSGO-DP-TFET). For this, a stack gate oxide with workfunction is considered to enhance the ON-state cur-rent ( I ON ), lower ambipolar current ( I amb ) and lower the subthreshold swing. For this case, the gate elec-trode is tri-segmented, named as tunnel gate ( M 1 ), con-trol gate ( M 2 ) and auxiliary gate ( M 3 ) with diﬀerent gate lengths ( L 1 , L 2 , L 3 ) and work functions ( φ 1 , φ 2 , φ 3 ), respectively. To maintain dual-work functionality, the possible combinations of these work functions are considered. Technology computer-aided design (TCAD) simulations are performed and noted that the workfunction combination ( φ 1 = φ 3 < φ 2 ) outperforms as compared to other combinations. Where φ 1 on the source side is used to enhance the I ON , while φ 3 (equal to φ 1 ) is used on the drain side to minimize the I amb . To further enhance the device performance, a high-K di-electric pocket is considered at the drain junction to suppress the I amb whereas, a low-K dielectric pocket is employed at the source junction to enhance the I ON . Moreover, length of gate segments, dielectric pocket height, and thickness are optimized to achieve a bet-ter switching ratio, subthreshold swing (SS) and reduce the I amb which helps in the gain of device and design of analog/ RF circuits. The proposed device as compared to dual material control gate-dielectric pocket-TFET (DMCG-DP-TFET) with SiO 2 gate oxide shows im-Kaushal provement in I ON / I OF F ( ∼ 4.23 times), 84 % increase in transconductance ( g m ), 136 % increase in cut-oﬀ frequency ( f T ), 126 % increase in gain bandwidth prod-uct (GBP), point subthreshold swing (15.8 mV/decade) and other signiﬁcant improvements in linearity ﬁgure of merits (FOMs) making the proposed device useful for low power switching, analog/RF and linearity applications.