Miracle-dz/UniFAR-FTUs huggingface dataset:
THE ANNALS OF “DUNAREA DE JOS” UNIVERSITY OF GALATI

The paper presents the investigation by conductive-atomic force microscopy (C-AFM) of the variation of the local conductivity and topography of the transparent ZnO thin films deposed onto soda lima glass substrates by spin-coating of pre-prepared ZnO nanoparticles. With conductivity measurements at the nanometer level, the chemical and crystalline structure of the thin films obtained at temperature below 200 °C was investigated by Fourier transform infrared (FTIR) spectroscopy and X-ray diffraction, respectively, as a function of the number of the deposed layers and conditions of their deposition, such as deposition rate and the temperature of post-deposition annealing. The increase of the thermal treatment temperature, from 120 to 180 °C, leads to increased values of all thin films, most notably for the thickest sample with three layers deposed at 500 rpm that shows the highest decrease of thickness, indicating the highest compaction. The samples with three layers post-treated at 180 C show grain growth associated with increased roughness.
THE ANNALS OF “DUNAREA DE JOS” UNIVERSITY OF GALATI

In recent years pharmaceutical formulations using polymeric nanocapsules have been widely studied for developing novel drug delivery strategies. Nanocapsules provide a unique core-shell nanostructure, consisting of a liquid/solid core surrounded by a polymeric shell. Natural or modified polysaccharides are prime candidates for use as building blocks of the nanocapsule shells, due to their demonstrated safety, versatility and low cost and to the fact that they are widely used as excipients in classical drug formulations. The aim of this paper is to present the recent advances in drug delivery strategies using polysaccharidic nanocapsules and to discuss future opportunities and challenges in developing modern pharmaceutical formulations using such systems.
Optimization of the magnetic properties of materials for fluxgate sensors

A study was made of the variation of the magnetic properties of cobalt-based alloys using different compositions of CoFeSiB and CoFeSiBCr systems, which were produced by the melt-spinning technique and some of them subjected to a stress annealing treatment. A comparative study of core geometry and supporting material was also performed in order to obtain low noise fluxgate sensor core using amorphous magnetic ribbons of these alloys. The best alloy was a stress annealed Co67.5Fe3. 5Si17.4B11. 6 sample, which yielded fluxgate sensors with lower noise levels than those of commercial crystalline materials.
The Learning Helix

This paper discusses a mental model of learning based on the processes of attention, perception, processing, and application. The learning process starts with attention, such as curiosity, excitement, expectation, or fear; in pedagogy this is called motivation. New impressions are dependent on and interpreted against the background of previous experience and learning, or "frame of reference. " One oi the main reasons for using pictures in magazines, newspapers, and books is to draw attention to the material; in the case o2 moving images, the visual material and presentation must constantly redraw the attention to hold the viewer's interest. The concept "perception" is a collective designation for the processes in which an individual obtains information on the outside world. The "laws" of perception include: figure/ground contrast; similarity; proximity; continuity; closure; common fate; objective set; contrast; and previous experience. Information processing and storage is referred to as memory. Memory functions include sensory memory, short-term memory, and long-term memory; forgetting is the process through which information in memory becomes inaccessible. Results from several experiments show that when contents are the same in visual, audio, and print channels, learning is maximized. After the attention, perception, and processing of information, new knowledge can be applied and tested in different applications. Four figures depict these processes, including the combination of all processes in the learning helix model. (Contains 51 references.) (AEF) *********************************************************************** Reproductions supplied by EDRS are the best that can be made from the original document. *********************************************************************** U S DEPARTMENT OF EDUCATION EDUCATIONAL RESOURCES INFORMATION CENTER tERIC1 O This document has teen reproduced as received Irorrr the person or orgarulation ortgrnatrog O Minor 4-hang.2r. have boen improve reproduction quality Porn Is of vtew or opinions stated . n thr document do not necessarly represent Oficrat OERI posrhon or pohcy The Learning Helix
Exploring Unsupervised Methods to Textual Similarity

This paper presents some unsupervised methods for detecting semantic textual similarity, which are based on distributional models and dependency parsing. The systems are evaluated using the dataset realased by the ASSIN Shared Task co-located with PROPOR 2016. The results do not improve the state-of-the-art for Portuguese language.
Toward an Evaluation Model of User Experiences on Virtual Reality Indoor Bikes

This paper deals with deriving a model or framework to evaluate user experiences (UX) of virtual reality (VR) systems, especially, VR indoor bikes which are under construction. Recently, VR is one of the most appealing areas attracting people’s interests around the world. Many products armed with it increasingly emerge on the market, and it is expected that the use of VR systems will continue to increase sharply in the future. However, UX of such products cannot be evaluated appropriately at the moment due to a lack of proper evaluation models. In a broad sense, UX that may stem from human machine interface in ergonomics covers affect, usability, and user value in spite of some differences in definition among the researchers. While evaluations of UX on the products without VR have been overall justifiably performed, UX has been evaluated neither systematically nor strictly on the products with VR. Through the analyses of expert reviews, we newly identify an additional component and its elements, and modify some elements of the three existing components for evaluating UX on the VR systems. As a result, we propose a comprehensive evaluation model of UX, which consists of four factors: usability, affect, user value, and presence feeling. In addition, we determine the components and their elements for specific VR indoor bikes similarly through the analyses of expert surveys and focus-group discussions, which results in developing a questionnaire for users. Finally, along with the questionnaire, we propose a specific evaluation model for VR indoor bikes.
Estimating the Impact of Observational Data on Forecasts Made by Coupled Nonlinear Dynamical System

In this paper, the adjoint-base technique is applied to estimate the observational impact on the forecast quality using the coupled nonlinear chaotic dynamical system obtained by combining two (fast and slow) versions of the Lorenz system. The exploration of forecast sensitivity with respect to observations and the estimation of the observational impact on the forecast quality require considerable computational resources. For simple-enough low-order models, the computational cost is minor and therefore models of this class can be used as simple test instruments to emulate more complex systems. The method is incorporated into the existing four-dimensional variational data assimilation system. The objective function represents the difference between total energy norms of the background and calculated forecast error. Since data assimilation procedure shadows the “true” state of a system given by the observational data, the shadowing property of coupled nonlinear chaotic dynamical system is considered for weak and strong coupling between fast and slow subsystems. The discussed approach can be used in designing the optimal observing network and estimating the value of various observations. Key-Words: Dynamical system, chaotic dynamics, data assimilation, adjoint model, observation impact, sensitivity analysis
rtility after repartnering in the Netherlands : renthood or commitment ?

In this paper, we focus on childbearing after the dissolution of the first marital union. The discussion of what drives fertility decisions after dissolution has been largely dominated by the arguments that: (a) people want to have a child as a way to achieve the adult status of parenthood (the ‘‘parenthood hypothesis’’), and that (b) a shared child can signal the partners’ commitment to each other (the ‘‘commitment hypothesis’’). Earlier studies have reported mixed findings for these hypotheses. We used couple data from several Dutch surveys (N = 8094 couples of which 10.2% included a repartnering partner) and utilized a new analytical approach to test the commitment proposition in particular. Our main findings lend support to the parenthood hypothesis when it comes to men’s transition to a union-specific birth and to the commitment hypothesis when considering women’s transition. Whereas for men, children from a prior union decrease the likelihood of transitioning to a union-specific birth, for women children from a prior union do not matter. That is, women would find it important to confirm the union as a family despite the presence of children. Additional support for the commitment hypothesis for women is that being in a second union rather than first union increases chances of parity progression. 2013 Elsevier Ltd. All rights reserved. Corresponding author at: Department of Sociology and Anthropology, ersity of Amsterdam, Oudezijds Achterburgwal 185, 1012 DK terdam, The Netherlands. Tel. : +31 20 525 2080;
Currency Blocs in the 21st Century

Based on a classification of countries and territories according to their regime and anchor currency choice, the study considers the two major currency blocs of the present world. A nested logit regression suggests that long-term structural economic variables determine a given country’s currency bloc affiliation. The dollar bloc differs from the euro bloc in that there exists a group of countries that peg temporarily to the US dollar without having close economic affinities with the bloc. The estimated parameters are consistent with an additive random utility model interpretation. A currency bloc equilibrium in the spirit of Alesina and Barro (2002) is derived empirically.
Understanding the effect of productivity changes on international relative prices: the role of news shocks

The terms of trade and the real exchange rate of the US appreciate when the US labor productivity increases relative to the rest of the world. This finding is at odds with predictions from standard international macroeconomic models. In this paper, we find that incorporating news shocks to total factor productivity (TFP) in an otherwise standard dynamic stochastic general equilibrium (DSGE) model with variable capital utilization can help the model replicate the above empirical finding. Labor productivity increases in our model after a positive news shock to TFP because of an increase in capital utilization. Under some plausible calibrations, the wealth effect of good news about future productivity can increase domestic demand strongly and induce an increase in home prices relative to foreign prices.
The value of travel guidebooks in the digital age

Travel guidebooks are both travel information channels and objects of consumption. In contemporary tourism, Information and Communication Technologies (ICT) make information abundant and mostly free of charge. Therefore, as tourists still buy them, there must be something that makes guidebooks a valuable object. This research aims at understanding the value of travel guidebooks in the digital age. The study was conducted through semi-structured interviews on a sample representing a population that, based on previous research, was likely to use destination-specific literature for travel information but is also accustomed to online information channels.After a review of previous literature on guidebooks, which focuses on information search behaviour, consumer value theory was applied to analyse travellers’ evaluation of guidebooks, in relation to digital information channels. The results suggest that uses and value of guidebooks are strongly connected to emerging ICTs. Information needs are evolving due to technological development: the constant availability of online information has caused the temporal dimension of travellers’ information needs to shift so that decisions can be postponed until right before consumption, making the choice of channels and the collection of information more serendipitous. A consumer value perspective, applied to an object that has traditionally been studied only as an information channel and not as an object of consumption, allowed to identify the value dimensions associated with guidebooks, and the underlying reasons for their use. The value of guidebooks appears as an interactive, relativistic, preference experience and both utilitarian and hedonic value emerge from their use.The study shows a changing reality of travel practice and information search behaviour. It highlights how the tools traditionally used to study information search behaviour are not sufficient anymore within a digitalised, consumeristic society.
Water Stress Effect

In México, around 82% of the total production of maize is grown under rainfed conditions leading to a water stress environmen affects physiologic and biochemical process of the plant. Maize bran is a composited plant material consisting mainly in al and pericarp; the cell walls of these tissues are composed of proteins, non potential bioactive substances for human nutrition. In this research the bran of three genotypes of maize phenols and phenolic acids was performed in the bran of development stage increased protein levels of content, water stress increase increased in water stress treatment at levels of 1.28, 2.26 and 3.66% in treatment decreased the levels of total phenols and hydroxycinnamic acids in the three maize hybrids analysed. Reduction of t was 35.34, 5.59 and 31.57% for acids decreased 17.74, 23.93, 29.83% in
The Balanced Scorecard : The Effects of Assurance and Process Accountability on Managerial Judgment

The balanced scorecard has been hailed as one of the major developments in management accounting in the past decade. Lipe and Salterio (2000) show that one of the key scorecard features, the inclusion of measures that are unique to the strategic objectives of a business unit, tend to be ignored by managers when making performance evaluation judgments. This study employs an adapted version of Kennedy’s (1993, 1995) debiasing framework to motivate two approaches to reducing this “common measures bias. ” We examine whether increasing effort via invoking process accountability (i.e., requiring managers to justify to their superior their performance evaluations) and/or improving the perceived quality of the balanced scorecard measures (i.e., via assurance over the reliability and relevance of the performance measures) leads to managers’ increased usage of unique performance measures in their evaluations. Results suggest that either the requirement to justify an evaluation to a superior or the provision of an assurance report over all measures increases the use of unique measures in managerial performance evaluation judgments. Interestingly, the combination of the two approaches is not as powerful as the individual debiasers by themselves. Furthermore, we provide evidence that the common measures bias is not an easily correctable cognitive illusion that disappears when the potential for judgment inconsistency is pointed out to participants. Implications for theory and practice are discussed.
POWER CONSUMPTION OPTIMIZATION OF LTE-A NETWORK BY JOINT DEPLOYMENT OF RELAY STATION

The growing number of users and macro base stations (BSs) in LTE-A network causes large amount of energy consumption for the whole network. In order to mitigate this problem, a sleep mode algorithm for Base Stations (BS) simultaneously powering Relay Stations (RS), deployed in the transmission area of selected BS considering the real time network traffic is proposed in this paper. The efficiency of power saving algorithms depends on an effective real-time network traffic detection and analysis. A method to detect and analyze real time mobile phone traffic in a cell is also proposed in this work. The number of Relay station to be deployed in the coverage area of a BS, transmission range and geographical areas to set up and factors for optimal deployment are also discussed in this paper considering the Qos parameter. Joint deployment of relay stations inter connected by X2 links and with the BS with the overlapped coverage is considered in this work. The deployment of relay station interconnected by X2 links and with the Base station also meets the strategies for efficient group Handoff. The performance is analyzed by comparing power consumption of BS with and without the proposed algorithm, the simulation results shows there is good power saving with this proposed method.
Personalized Posture and Fall Classification with Shallow Gated Recurrent Units

Activities of Daily Living (ADL) classification is a key part of assisted living systems as it can be used to assess a person autonomy. We present in this paper an activity classification pipeline using Gated Recurrent Units (GRU) and inertial sequences. We aim to take advantage of the feature extraction properties of neural networks to free ourselves from defining rules or manually choosing features. We also investigate the advantages of resampling input sequences and personalizing GRU models to improve the performances. We evaluate our models on two datasets: a dataset containing five common postures: sitting, lying, standing, walking and transfer and a dataset named MobiAct V2 providing ADL and falls. Results show that the proposed approach could benefit eHealth services and particularly activity monitoring.
Hub of Application Laboratories for Equipment Assessment in Laser Based Manufacturing

The APPOLO project is coming to its end. Four years of fruitful work in establishing collaboration among laser application laboratories and companies, assessment of laser technologies and equipment for them have passed. In the last year, new experiments selected after the Open call, progressed significantly and provided excellent results to end-users and equipment suppliers. Paving a way for impact of the APPOLO project to competitiveness of European industry.
Some Non-Destructive and Micro-Analytical Methods for the Conservation on Textiles from Cultural Heritage

Since the history of mankind, put on or cover oneself is one of the basic needs. For this, various fibres of textiles were used for examples linen, cotton, wool, silk, mohair, etc. In this present paper, nondestructive and micro analytical methods were investigated for conservation of the historical and archaeological textiles that they are received until recent years. Identification of an art object material of cultural heritage had received significant attention, because of its importance for the development of appropriate restoration and conservation strategies.
Social Computing: From Social Informatics to Social Intelligence

Social computing represents a new computing paradigm and an interdisciplinary research and application field. Undoubtedly, it strongly influences system and software developments in the years to come. We expect that social computing's scope continues to expand and its applications multiply. From both theoretical and technological perspectives, social computing technologies moves beyond social information processing towards emphasizing social intelligence. As we've discussed, the move from social informatics to social intelligence is achieved by modeling and analyzing social behavior, by capturing human social dynamics, and by creating artificial social agents and generating and managing actionable social knowledge
Random networks of carbon nanotubes optimized for transistor mass-production : searching for ultimate performance

Random networks of as-grown single-walled carbon nanotubes (CNTs) contain both metallic (m-CNTs) and semiconducting (s-CNTs) nanotubes in an approximate ratio of 1:2, which leads to a trade-off between on-conductance and the on/off ratio. We demonstrate how this design problem can be solved with a realistic numerical approach. We determine the CNT density, length, and channel dimensions under which CNT thin-film transistors simultaneously attain onconductance higher than 1 μS and an on/off ratio higher than 10. The fact that asymmetric systems have more pronounced finite-size scaling behavior than symmetric systems allows us additional design freedom. A realization probability of the desired characteristics higher than 99% is obtained for the channels with aspect ratio L W 1.2 CH CH and normalized size L W l 250 CH CH CNT 2 when the CNT length is N l 4 20 m CNT and the normalized density of CNTs is close to the value where the probability of percolation through only s-CNT pathways reaches its maximum. S Online supplementary data available from stacks.iop. org/sst/31/105015/mmedia
Design for Interpretability

The interpretability of an AI agent’s behavior is of utmost importance for effective human-AI interaction. To this end, there has been increasing interest in characterizing and generating interpretable behavior of the agent. An alternative approach to guarantee that the agent generates interpretable behavior would be to design the agent’s environment such that uninterpretable behaviors are either prohibitively expensive or unavailable to the agent. To date, there has been work under the umbrella of goal or plan recognition design exploring this notion of environment redesign in some specific instances of interpretable of behavior. In this position paper, we scope the landscape of interpretable behavior and environment redesign in all its different flavors. Specifically, we focus on three types of interpretable behaviors – explicability, legibility and predictability – and present a general framework for environment design that can be instantiated to achieve these behaviors. We also discuss how specific instantiations of this framework correspond to prior works on environment design, and identify exciting opportunities for future work.
Team Semantics for Spatial Reasoning: Locality and Separability

Team Semantics is a generalization of Tarski’s semantics for First Order Logic in which formulas are satisfied or not satisfied by sets of assignments. Despite being reducible to Tarskian semantics over First Order Logic, Team Semantics permits to extend it in novel ways, like for instance by means of new types of atoms that express dependencies between different assignments. In this work I will discuss the applicability of Team Semantics to spatial reasoning. I will argue that Team Semantics is a highly appropriate framework for reasoning about notions such as locality, in which the value of some variable at some point is affected only by the values of other variables in a certain neighbourhood of that point, and separability of spaces into regions with different properties.