Miracle-dz/UniFAR-FTUs huggingface dataset:
GSM-Based Approach for Indoor Localization

— Ability of accurate and reliable location estimation in indoor environment is the key issue in developing great number of context aware applications and Location Based Services (LBS). Today, the most viable solution for localization is the Received Signal Strength (RSS) fingerprinting based approach using wireless local area network (WLAN). This paper presents two RSS fingerprinting based approaches – first we employ widely used WLAN based positioning as a reference system and then investigate the possibility of using GSM signals for positioning. To compare them, we developed a positioning system in real world environment, where realistic RSS measurements were collected. Multi-Layer Perceptron (MLP) neural network was used as the approximation function that maps RSS fingerprints and locations. Experimental results indicate advantage of WLAN based approach in the sense of lower localization error compared to GSM based approach, but GSM signal coverage by far outreaches WLAN coverage and for some LBS services requiring less precise accuracy our results indicate that GSM positioning can also be a viable solution.
Is Carotid Stenting of Complicated Plaques Safe

Background. Specific plaque characteristics, such as ulcers and subocclusive lesions, may increase the complication rate in carotid stenting (CAS) procedures, however, few data have been published in this regard. Aim. Our goal was to investigate the risk of technical failure and neurological symptoms in complicated and uncomplicated plaques after CAS. Methods. From January 2005 to March 2007, all patients submitted to CAS were divided into two groups depending on plaque morphology: complicated plaque patients (ComP) (plaques with ulcers diameter > 2 mm and plaques determining subocclusive stenosis [i.e., > 99%]); the rest being uncomplicated plaques (UnComP). The two groups were compared in terms of baseline characteristics, preoperative neurological symptoms, cerebral computed tomography, type of arch, presence of stenosis or occlusion of the contralateral carotid, type of stent and protection system, and technical and clinical outcome. Differences across groups in the frequency of technical success and neurological symptoms were compared using standard bivariate analyses and confirmed with logistic regression. Results. Of 298 consecutive patients undergoing CAS, 77 had complicated plaques (25.8%) and 221 uncomplicated plaques (74.2%). The two groups were not different in terms of baseline characteristics (excluding age) and preoperative symptoms. Overall, technical success was achieved in 91.2% of the sample, postoperative neurological symptoms occurred in 7.7% of the patients. All symptoms were temporary. We found no significant differences between the two groups regarding neurological complications (7.8% vs. 7.7% P = 0.98) and technical failure (9.1% vs. 8.6%, P = 0.97), also controlling for age and gender. At multivariate analyses, an older age was a significant predictor of technical failure (OR 1.13; 95% CI 1.05‐1.22). Conclusion. The plaque morphology does not seem to be associated with CAS failure and may not be considered a contraindication to CAS. Vascular Disease Management 2007;4(4):112‐115.
Rating the quality of collaboration during networked problem solving activities

This paper describes the adaptation and generalization of a rating scheme for judging the quality of collaboration during network-based problem solving activities with Synergo, a network-based synchronous collaborative drawing environment including a shared whiteboard and a chat tool. The goal of this study was to develop a tool for assessing the strength and weaknesses in students’ collaboration in large samples. A second goal was to show that the rating scheme’s dimensions can capture the main aspects of effective collaboration across diverse settings. Adaptation of the rating scheme involved adjusting the dimensions' definitions to the affordances of the Synergo tool and characteristics of the given algorithm task, and testing it in a sample of six dyads selected from a broad range of studies. The final, adapted rating scheme includes seven dimensions: (i) collaboration flow, (ii) sustaining mutual understanding, (iii) exchanging knowledge and giving explanations, (iv) argumentation, (v) structuring the problem solving process and time management, (vi) cooperative orientation, and (vii) individual task orientation. For each dimension, we provide a detailed definition and case studies that illustrate how the rating scheme’s dimensions can be used to describe and evaluate differentially the quality of students’ collaboration. We outline perspectives for future research applying the newly developed rating scheme.
Sexual dimorphism of Cranial shape in Iranian Brown Bear Ursus arctos Linnaeus, 1758 using Geometric Morphometric approach

The Iranian brown bear is distributed in north, west and northwest of Iran. This research was conducted to study the sexual dimorphism of Iranian brown bear in Alborz and Caucasia population using Geometric Morphometric. Sixty two skulls were studied based on species distribution in country. There was a significant difference between male and female’s skull shape confirming the presence of sexual dimorphism in the skull shape of Iranian brown bear. Comparison of shape of two sexes showed the reinforcement and strength different parts in males’ skull. Dimorphism can also be related to the social ecology of brown bears.
Superhydrophobicity lost : the Cassie-Baxter to Wenzel phase transition

Wetting on rough surfaces is a conundrum that challenges both the scientific and technological communities. On the one side, the availability of microand nanofabrication techniques made possible to realize biomimetic superhydrophobic (SH) surfaces capable of promoting the entrapment of air or vapour within microscopic surface roughness, resulting in remarkable macroscopic properties, such as self-cleaning [1]. On the other side, the stability of the entrained bubbles (the so-called Cassie-Baxter -CBstate) and the mechanism of wetting remains largely elusive, making it difficult to predict how long a SH state will last and thus design robust SH surfaces. The reason of the difficulties in observing experimentally and simulating the wetting process from the CB state to the fully wet one (Wenzel -Wstate) is that strong metastabilities and multiple temporal and spatial scales are involved. We first analyse the microscopic details of the CB to W transition by simulating the wetting of a nanogroove. We reconstruct the free-energy profiles of the CB to W transition via molecular dynamics (MD) simulations, by exploiting rare events methods. These techniques allow to determine the stable and metastable states along the wetting process, to isolate the transition mechanism, and to evaluate the associated free-energy barriers. On this nanoscale system, we assess the effects of geometry, pressure, and temperature on the robustness of the superhydrophobic CB state. Along the lines of [2], we also devise a thermodynamic continuum theory of the phase transition based on a constrained approach inspired by restrained MD. This second step allows to extend the description of the CB to W transition up to the macroscopic scale. In the light of these results, we discuss the validity of continuum assumption in the context of wetting of rough surfaces.
THE RELATIONSHIP BETWEEN BURNOUT AND EMOTIONAL LABOUR OF THE EMPLOYEES IN HOSPITAL SECTOR

Emotions of the employees of especially the sectors like banking, tourism, and health care, in which the interaction with the customers is at utmost importance, are expected by the businesses to be properly managed. While the display of emotions by the employees according to the demands of the organization in respect to the payments made has positive contributions to the businesses, it might affect the employees in a negative way. In this study, the relationship between the emotional labour and burnout displayed by the nurses, the employees of one of the career groups in which high level of interaction with the human beings occur, while working in their organizations. In the study, emotional labour and burnout levels of 136 nurses, serving in a community hospital, have been measured by using “Emotional Labour Scale” which was developed by Cukur (2009), and whose validity and reliability studies have been done in Turkey, with Maslach Burnout Inventory. In the result of the study, it has been determined that there is a correlation between Emotional Labour with its sub-dimensions, and burnout with its sub-dimensions
Landscape Metrics

Understanding the relationship between landscape pattern and ecological processes constitutes the foundation of landscape ecology. Generally, a set of landscape metrics is derived from land cover maps, and subsequently related with a measured ecological response by statistical methods to assess their prediction power. Here, I reviewed several concepts regarding these pattern-process interactions, the main shortcomings of landscape metrics, and the techniques used to diminish or reduced the problems. In addition, I examined several real-world and simulation attempts to understand and describe such interactions. I also decided to conduct an exercise on this topic, and gain experience for my research needs. The general perception is that three basic problems are found with the utilization of landscape metrics. These are: a high degree of correlation among metrics, ambiguous responses for different conditions, and sensitivity to changes in spatial scale (grain and extent). However, several statistical techniques like factor analysis, and the utilization of interactions between landscape metrics have been proposed to reduce redundant information, and diminish ambiguity respectively. Promising results have been documented regarding the utilization of landscape metrics as explanatory factor for bird’s abundance, and stream water quality. Both approaches have in common the statement that habitat amount is more important than habitat fragmentation when predicting a system’s response. The results of assessing the power of landscape metrics to predict the behavior of invasive spread in the State of Utah for the period 1995 – 2004 were not entirely successful. Yet, the overall results exhibited agreement with the importance of habitat amount mentioned before. A common context derived from this review and the exercise is that landscape metrics are a potential tool for management purposes, provided that they are generated accordingly to the research question, are well interpreted, and most importantly, are not used independently of the ecology dynamics on the landscape.
The Ecology and Evolution of Seed Dispersal: A Theoretical Perspective

▪ Abstract Models of seed dispersal—a key process in plant spatial dynamics—have played a fundamental role in representing dispersal patterns, investigating dispersal processes, elucidating the consequences of dispersal for populations and communities, and explaining dispersal evolution. Mechanistic models of seed dispersal have explained seed dispersion patterns expected under different conditions, and illuminated the circumstances that lead to long-distance dispersal in particular. Phenomenological models have allowed us to describe dispersal pattern and can be incorporated into models of the implications of dispersal. Perhaps most notably, population and community models have shown that not only mean dispersal distances but also the entire distribution of dispersal distances are critical to range expansion rates, recruitment patterns, genetic structure, metapopulation dynamics, and ultimately community diversity at different scales. Here, we review these developments, and provide suggestions for furthe.
CRITICAL QUESTIONS FOR BIG DATA

The era of Big Data has begun. Computer scientists, physicists, economists, mathematicians, political scientists, bio-informaticists, sociologists, and other scholars are clamoring for access to the massive quantities of information produced by and about people, things, and their interactions. Diverse groups argue about the potential benefits and costs of analyzing genetic sequences, social media interactions, health records, phone logs, government records, and other digital traces left by people. Significant questions emerge. Will large-scale search data help us create better tools, services, and public goods? Or will it usher in a new wave of privacy incursions and invasive marketing? Will data analytics help us understand online communities and political movements? Or will it be used to track protesters and suppress speech? Will it transform how we study human communication and culture, or narrow the palette of research options and alter what ‘research’ means? Given the rise of Big Data as a socio-technical phenomenon, we argue that it is necessary to critically interrogate its assumptions and biases. In this article, we offer six provocations to spark conversations about the issues of Big Data: a cultural, technological, and scholarly phenomenon that rests on the interplay of technology, analysis, and mythology that provokes extensive utopian and dystopian rhetoric.
SWITCHING ANTIPSYCHOTICS IN THE TREATMENT OF SCHIZOPHRENIA: A TWO-YEAR COMP ARISON STUDY OF PATIENT CHARACTERISTICS AND PSYCHIA TRIC SERVICE USE

The present investigation explored the determinants and effects of switching antipsychotic medications in a "real-world" clinical setting. Methods: A hospital chart review of randomly selected patient files was undertaken. Comparisons were made between patients who were maintained on the same antipsychotic versus those who were switched or initiated on polypharmacy for socio-demographic and clinical characteristics, and psychiatric services utilized during the two year study period. Results: Eleven per cent (n=23) ofthe included patients (N=201) experienced a switch, and Il % (n=22) had another antipsychotic added to their treatment. A history of recent psychiatric hospitalizations and secondary diagnoses of personality disorders were more common among switched and add-on patients than maintenance group patients. During the study period, significantly more switched and add-on patients used outpatient, emergency and inpatient psychiatric services than maintained patients. Conclusions: Patients whose antipsychotic treatment was changed had likely been experiencing clinically significant problems for which a change was implemented. The high rate of study service use indicates that these problems were conserved despite changes in antipsychotic medications.
Greenhouse Gas Emissions Non-Cattle Confinement Buildings: Monitoring, Emission Factors and Mitigation

Worldwide environmental issues are dominated by climate change, especially by the increase in greenhouse gas (GHG) emissions (UNDP, 2007). The rise in of GHG concentrations in the atmosphere has become a major environmental concern as revealed in the Kyoto Protocol (AAFC, 2000). Besides contributing to global warming by absorbing infrared radiation, carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O) have been declared the most harmful gases for ecosystems, apart from ammonia (NH3) (Pain, 1998; Copeland, 2009).
Screening for Pulmonary Metastases Clinical Condition: Screening for Pulmonary Metastases

ACR Appropriateness Criteria 1 Screening for Pulmonary Metastases American College of Radiology ACR Appropriateness Criteria Clinical Condition: Screening for Pulmonary Metastases Variant 1: Primary malignancy: bone and soft-tissue sarcoma. Radiologic Procedure Rating Comments RRL* CT chest without IV contrast 9 Perform this procedure for an initial evaluation or surveillance. ☢ ☢ ☢ X-ray chest 9 This procedure is appropriate if performed as a baseline. ☢ CT chest with IV contrast 5 ☢ ☢ ☢ FDG-PET/CT whole body 5 ☢ ☢ ☢ ☢ CT chest without and with IV contrast 2 ☢ ☢ ☢ MRI chest without IV contrast 2 O MRI chest without and with IV contrast 1 O
Examining the Relationship between Teachers’ Individual Innovativeness and Professionalism

The aim of this study was to examine the relationship between teachers’ individual innovativeness and their teacher professionalism. The participants were 567 teachers working in elementary, middle and high schools located across Istanbul. The data were gathered through the "Individual Innovativeness Scale" and the "Teacher Professionalism Scale". In data analysis, arithmetic means and Pearson Product-Moment Correlation Analysis were used. The results of the study showed that the teachers’ characteristics of individual innovativeness fell into the group of early majority. The teachers’ innovativeness was found to be at the highest level in the dimension of openness to experience. There was a weak positive relationship between the individual innovativeness characteristics of openness to experience and opinion-leading, and teacher professionalism, which was significant.
Gate-controlled persistent spin helix state in (In,Ga)As quantum wells

In layered semiconductors with spin-orbit interaction (SOI) a persistent spin helix (PSH) state with suppressed spin relaxation is expected if the strengths of the Rashba and Dresselhaus SOI terms, α and β, are equal. Here we demonstrate gate control and detection of the PSH in two-dimensional electron systems with strong SOI including terms cubic in momentum. We consider strain-free InGaAs/InAlAs quantum wells and first determine a ratio α/β≃1 for nongated structures by measuring the spin-galvanic and circular photogalvanic effects. Upon gate tuning the Rashba SOI strength in a complementary magnetotransport experiment, we monitor the complete crossover from weak antilocalization via weak localization to weak antilocalization, where the emergence of weak localization reflects a PSH-type state. A corresponding numerical analysis reveals that such a PSH-type state indeed prevails even in presence of strong cubic SOI, however no longer at α=β.
Evaluation of a Testing Pro- cess to Plan and Implement an Improved Test System

In order to ensure the quality of a product, the provider of the product must perform complete testing of the product. This fact increases the demands on the test systems used to conduct the testing, the system needs to be reliable. When developing new software for a company, sometimes a requirements specification created at the beginning of the project is not enough. Details of the desired implementation may get lost when working with a general requirements specification. This thesis presents a case study of how a certain company work with their test systems. The aim of the case study was to find where the largest points of improvements could be made in a new test system, which was to be implemented during this thesis work. The implementation of this new system was done in LabVIEW in conjunction with TestStand and this process is covered in this thesis. The performed case study revealed that the employees at the company found robustness and usability to be the key factors in a new test system. During and after the implementation of the new system, it was evaluated regarding these two metrics, this process is also covered in this thesis.
Asymptotic theory of generalized information criterion for geostatistical regression model selection

Information criteria, such as Akaike's information criterion and Bayesian information criterion are often applied in model selection. However, their asymptotic behaviors for selecting geostatistical regression models have not been well studied, particularly under the fixed domain asymptotic framework with more and more data observed in a bounded fixed region. In this article, we study the generalized information criterion (GIC) for selecting geostatistical regression models under a more general mixed domain asymptotic framework. Via uniform convergence developments of some statistics, we establish the selection consistency and the asymptotic loss efficiency of GIC under some regularity conditions, regardless of whether the covariance model is correctly or wrongly specified. We further provide specific examples with different types of explanatory variables that satisfy the conditions. For example, in some situations, GIC is selection consistent, even when some spatial covariance parameters cannot be estimated consistently. On the other hand, GIC fails to select the true polynomial order consistently under the fixed domain asymptotic framework. Moreover, the growth rate of the domain and the degree of smoothness of candidate regressors in space are shown to play key roles for model selection.
Experiments with Neural Word Embeddings for Croatian

Word representations extracted from a large corpus have been shown to be very useful in a variety of natural language processing tasks. Recently, there has been much work on using neural networks to learn good word representations from raw text. We adopt this approach and train neural word embeddings from a large Croatian web corpus. We evaluate the embeddings on three lexico-semantic tasks: synonym detection, semantic relatedness, and analogy modeling. Results on all three tasks are remarkably good and some of them markedly above the state-of-the-art results for Croatian. In particular, on the synonym detection and semantic relatedness tasks, the model achieves an accuracy of 73% and a correlation of 0.67 with human judgments, respectively. Eksperimenti z nevronskimi vstavki besed za hrvaščino Predstavitve besed, izluščene iz velikega korpusa, so se izkazale kot zelo koristne za raznovrstne naloge pri računalniški obravnavi naravnega jezika. V zadnjem času je bilo izvedenih veliko raziskav uporabe nevronskih mrež za učenje dobrih predstavitev besed iz neobdelanega besedila. V prispevku prevzamemo ta pristop in ga iz velikega korpusa hrvaščine naučimo nevronskih vstavkov besed. Vstavke evalviramo na treh leksikalnosemantičnih nalogah: detekciji sinonimov, semantični sorodnosti in modeliranju analogij. Rezultati na vseh treh nalogah so izredno dobri in nekateri bistveno boljši kot najboljši trenutni rezultati za hrvaščino. To še posebej velja za detekcijo sinonimov, kjer model doseže natančnost 73 %, ter za semantično sorodnost, ker model doseže korelacijo 0,67 s človeškimi odločitvami.
Design of buccal mucoadhesive tablets : understanding and development

© 2018 Laisa Lis Fontinele de Sá et al. This is an open access article distributed under the terms of the Creative Commons Attribution License -NonCommercialShareAlikeUnported License (http://creativecommons.org/licenses/by-nc-sa/3.0/). *Corresponding Author Laisa Lis Fontinele de Sá, Universidade Federal do Piauí, Departamento de Ciências Farmacêuticas, Teresina, Brasil. E-mail: laisalis @ hotmail.com Design of buccal mucoadhesive tablets: understanding and development
Non-Invasive Detection Method for Recycled Flash Memory Using Timing Characteristics †

Counterfeiting electronic components is a serious problem for the security and reliability of any electronic systems. Unfortunately, the number of counterfeit components has increased considerably after the introduction of horizontal semiconductor supply chain. In this paper, we propose and experimentally demonstrate an approach for detecting recycled Flash memory. The proposed method is based on measurement of change in Flash array characteristics (such as erase time, program time, fail bit count, etc.) with its usage. We find that erase time is the best metric to distinguish a used Flash chip from a fresh one for the following reasons: (1) erase time shows minimal variation among different fresh memory blocks/chip and (2) erase time increases significantly with usage. We verify our method for a wide range of commercial off the shelf Flash chips from several vendors, technology nodes, storage density and storage type (single-bit per cell and multi-bit per cell). The minimum detectable chip usage varies from 0.05% to 3.0% of its total lifetime depending on the exact details of the chip.